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How to add Google reviews to Squarespace (code block)

Lachlan Fea — Sun, 06 Sep 2026 00:00:00 GMT

To add Google reviews to Squarespace, paste a widget snippet into a code block on a page, on a Core plan or above. Squarespace does not read a Google Business Profile, so a third-party service has to supply the reviews. The block you paste them into decides whether anything renders at all.

I checked this on 6 September 2026 against the Squarespace Help Center, Google's review snippet documentation and the FTC's consumer reviews rule. I could not sign in to a Squarespace account for this piece, so the pictures below are Squarespace's own help pages, each captured from the article the rule comes from. Squarespace publishes no screenshots of its own editor, so there is no picture here of the block menu.

Which Squarespace plan do you need to add Google reviews?

A review widget is JavaScript, and JavaScript in a code block is a paid feature. Squarespace's code blocks guide draws the line in two sentences: "On all plans, code blocks support plain text, HTML, Markdown, and CSS code surrounded by <style></style> tags", and "Adding JavaScript or iframes to code blocks is available in the Core, Plus, Advanced, Business, Commerce Basic, and Commerce Advanced plans."

Those six plan names are not a mistake. The current lineup on Choosing the right Squarespace plan is Basic, Core, Plus and Advanced, and Business, Commerce Basic and Commerce Advanced are older names Squarespace still honours. Squarespace puts no date on the change, only that "we sometimes change our plans to best group features for our customers". An older guide telling you to buy the Business plan means Core.

Plan	JavaScript in a code block	Code injection
Basic	No	No
Core	Yes	Yes
Plus	Yes	Yes
Advanced	Yes	Yes
Business, Commerce Basic, Commerce Advanced (older names)	Yes	Yes

Core is the first plan whose feature list carries the line "Custom code, including the code block and code injection".

Custom code is the last line of the Core tab. It is not on the Basic one.

On Basic you can still paste the snippet into a code block. The script will not run. Squarespace does not publish what you see in its place, so check the plan before you debug anything else.

Squarespace has no Google reviews feature

Squarespace does have a reviews feature, and it is the wrong one. Customer reviews emails a buyer automatically 14 days after you fulfil their order, and the limit is in Squarespace's own words: "Customers can leave reviews for physical, download, service, and subscription products. It's not possible to collect reviews for gift cards or broadly for your business." Those reviews live on product pages in a store. They never touch your Google profile.

The other route people expect is Squarespace Extensions, which Squarespace calls "the equivalent of plugins, add-ons, or apps". They connect on all plans. Reading the catalogue on 6 September 2026, there is no Google reviews widget in it.

Price the dependency before you connect one anyway. Squarespace says extensions "aren't official Squarespace integrations" and "fall outside our scope of support", and that after you disconnect one "the service may still have data you sent while the extension was connected". A snippet you delete in one click is the smaller commitment.

Either way, you are using a third-party snippet. The choice that causes trouble is which of Squarespace's three code surfaces to put it on.

Code block, embed block or code injection

Squarespace takes code in three places, and picking the wrong one causes most of the failures.

Route	What it is for	Use it when
Code block	Custom HTML, and JavaScript on Core and above	The reviews belong in one spot on one page
Embed block	oEmbed content from services Squarespace recognises	You are embedding a video or a social post, not a widget
Code injection	Site header or footer, every page	A floating badge or a script you want everywhere

The embed block is the trap because it has the right-sounding name. Squarespace's embed blocks guide says embed blocks "pull content from services that use the oEmbed standard or manually set embed codes", then closes the door in a single line: "To add other code to your site, use code blocks." A widget's script tag is not an oEmbed response. What you get is an empty box.

Code injection is site-wide, not sectional. Code injection puts code in the <head> tag or before the closing </body> tag on every page of the site, which suits a floating badge and little else. It runs on Core, Plus, Advanced and some legacy plans, and it has a documented hole: "Code injection won't appear on Index landing pages." A per-page version sits in the Pages panel, under the gear icon, then Advanced.

Fluid Engine or the classic editor: where the block can go

Fluid Engine is "the primary editing experience for sites on Squarespace version 7.1" and "isn't available on version 7.0 sites". Telling the two apart takes a second. A Fluid Engine section has an Add Block button in its top-left corner once you click Edit, and a grid behind the blocks as you drag them, which you can pin by pressing G. No button and no grid means the classic editor, where you add blocks by clicking a + icon instead. Every block area on version 7.0 uses the classic editor.

Fluid Engine lets you place a reviews block exactly, then rearrange it for phones. Squarespace's mobile layout guide is specific: "You can arrange the mobile layout of Fluid Engine sections without affecting the desktop layout." It stays one block, so the phone view needs no second copy of the snippet.

Version 7.0 restricts where blocks can go at all. You cannot add one to an album, blog, cover, events, gallery, index or store page. If the reviews belong on a page of one of those types, per-page code injection is the way in. Squarespace does not write that down as a recipe anywhere: it follows from the code injection article, and it is my inference rather than their instruction.

You cannot do either job on your phone. Squarespace's blocks guide says the app "doesn't support adding or rearranging blocks on layout pages, only editing existing ones". Do this at a desk.

How to add Google reviews to Squarespace, step by step

Build the widget before you open Squarespace. Pick the layout and theme in your review service, point it at the right Google location, and copy the snippet it gives you.
Open the page and click Edit. Hover over the section where the reviews belong, then click Add Block, or a + icon in the classic editor.
Choose Code from the block menu, then click the pencil icon on the block to open its editor.
Leave the Type menu on HTML and paste the snippet. Squarespace is blunt about this one: "Code blocks set to CSS or JavaScript display code as text by default. To render CSS or JavaScript in code blocks, select HTML from the drop-down menu." Pick JavaScript and your visitors read your script tag instead of your reviews. Leave Display Source switched off.

The snippet is usually one line with an id in it:
```
<script src="https://app.cloutly.com/add-widget-v2.js" data-widget="YOUR-WIDGET-ID" async></script>
```
That one is ours. Cloutly holds the connection to your Google location, offers nine layouts, and gives back one line. A Squarespace code block takes it as it is, and so does any other site that accepts an HTML snippet. The review widgets page shows the layouts. Keep the async attribute whatever service you use, or the browser stops building your page until the widget arrives.
Put the block next to the ask. Directly beneath the booking or enquiry button on a service page, not down at the foot of the homepage. A reviews block in a footer is decoration. One above the form is evidence.
Save, then open the live page in a private window. The editor proves nothing, for the reasons below.

What the snippet renders once it is in the block. New reviews turn up on their own.

Why your review block is blank

Check these four documented causes in this order.

You are logged in. Squarespace says so on the code blocks page: "As a security measure, sometimes your code won't appear when you're logged in, even if visitors can see it." Click Preview in Safe Mode, or use a private window.

You are on Basic. See the plan table. The block is sitting on the page and the script is not running.

The page sits inside an Index. Squarespace lists this in its own troubleshooting: "Your code might not render if you've added it to a page within an Index."

Ajax loading is on. Version 7.0 only. Ajax loading swaps page content without a full reload on five template families, Brine, Farro, Skye, Tremont and York, and Squarespace warns that it "may conflict with embedded custom code". The tell is a block that works on a hard refresh and disappears when a visitor arrives through your own navigation.

Squarespace support will not troubleshoot any of it. It says code-based customisation "falls outside the scope of our support", and names the part that bites: "how it functions with our responsive design, particularly its appearance on mobile devices." Check the block at 390 pixels wide yourself, and run a speed test afterwards. Third-party JavaScript is the usual culprit when a page that used to load quickly stops.

Stars, filtering, and keeping the block current

Two things to settle before you publish, and one habit to start. The parent guide on how to embed Google reviews carries the long version, including the Places API and the screenshot route.

An embedded block will not put stars under your own result in Google. Google's review snippet documentation says that where the reviewed entity controls the reviews about itself, its pages using LocalBusiness or Organization structured data "are ineligible for star review feature", and the example Google gives is a review about a business placed on that business's own site "through an embedded third-party widget". Your widget's review schema is still worth switching on: it puts the rating on the page in a form search engines can read. Stars under your own result are not what it buys.

Filtering is where a review block gets legally interesting. The FTC's Rule on the Use of Consumer Reviews and Testimonials went into effect on 21 October 2024, and its review suppression provision, 16 CFR 465.7, covers representing the reviews on a part of your site dedicated to reviews as most or all of the reviews you received, while negative ones are held back. The carve-out is the part worth designing around: a review is not suppressed if you remove it under a rule you apply to every review regardless of what it says. So pick a rule you can state in one sentence, apply it to all of them, and ask every customer rather than a screened few. None of this is legal advice, and the FTC's questions and answers is the plainer read.

One block on every page is the lazy version. Coastline Physio, a fictional practice, runs two clinics, and the same snippet on both pages is what most sites ship. Point each clinic page at that clinic's reviews instead, then keep them arriving. A block whose newest date still reads 2025 a year from now argues against you in public, so send the Google review link after each appointment. How to get more Google reviews covers the rest.

FAQ

Can I add Google reviews to Squarespace for free? Not on Basic, because JavaScript in code blocks starts at Core. Above Basic, your only cost is the widget service. Free tiers usually limit how many reviews show and leave the vendor's name on the block.

Is there a Google reviews plugin for Squarespace? No. Squarespace does not use plugins the way WordPress does, and its nearest equivalent, Extensions, had no Google reviews widget in the catalogue on 6 September 2026. A code block and a snippet is the route.

Why does my code block show the code instead of the reviews? The Type menu is set to JavaScript. Set it to HTML, and check that Display Source is switched off.

I use Wix as well. Is it the same? Close, but the block and its limits differ. Wix takes the snippet in an Embed HTML element, which is an iframe that will not resize itself, and the phone version is a second element needing its own copy of the snippet. There is a separate walkthrough for adding Google reviews to a Wix website.

How to add Google reviews to a Wix website (no app needed)

Lachlan Fea — Sun, 06 Sep 2026 00:00:00 GMT

To add Google reviews to a Wix website, paste one line of HTML into Wix's Embed HTML element. Wix cannot pull reviews from a Google Business Profile by itself. You need either an app from the Wix App Market or a snippet from a review widget service. Both give you a block on the page that refills itself as new reviews come in.

Checked on 6 September 2026 against Wix's own help centre, Google's review rich results documentation and the FTC's consumer reviews rule. The click paths below are the Wix Editor, with a note on Wix Studio further down. I could not sign in to a Wix account for this piece, so the editor screenshots are Wix's own, taken from the support articles they belong to.

Wix has no Google reviews element

Wix's own page on adding customer testimonials offers two things: preset testimonial strips under Add Elements > Strip, and repeater lists under Add Elements > List > Repeaters. You type the content into both. Its closing tip is to "open the Wix App Market and type 'Testimonials' in the search". It does not mention Google, and the Wix Editor has nowhere to enter your business name and pull back your rating.

That is why the search results for this are almost all vendors. Your choice is an app or a snippet.

Route 1: an app from the Wix App Market

You install a Google reviews app, connect your profile inside it, and drop its element on the page. The install path in Wix's own instructions is Add Apps in the editor, search, open the app, + Add to Site, then Allow and Add to confirm.

Cost is not uniform. Wix's App Market page says "some apps have both a free and premium version while others require a premium upgrade". The free tier is usually where the review count cap and the vendor's badge live.

Support is not Wix's, and billing is separate. "Wix Customer Care can only assist with apps made by Wix"; for a third-party app the contact details sit in the App developed by section of its App Market page, the price is set by its developer, and the subscription is cancelled from Subscriptions in your Wix account. Wix is direct about the rest: "It is not possible to receive a refund for an app subscription."

This route is legitimate and keeps the settings in the editor you already use. The block only exists on Wix, so moving the site means setting up the connection again.

A widget service keeps the connection to your Google Business Profile, reads the reviews on a schedule and gives you one line of HTML. Wix's Embed HTML element accepts that line.

The snippet is usually a single script tag with an id in it:

<script src="https://app.cloutly.com/add-widget-v2.js" data-widget="YOUR-WIDGET-ID" async></script>

That one is ours. Cloutly connects a Google location, gives you nine layouts and hands back a snippet for a Wix embed or any other site that accepts HTML. You can see the layouts on the review widgets page. New reviews appear in the block on their own.

Get the layout, theme and colour right here, before you go near the Wix canvas.

Keep the async attribute, whichever service you use. Without it, the browser stops building the page while it fetches the widget.

What Wix's Embed HTML element does to your widget

Most problems here come from Wix's embed element, not the widget.

It is an iframe, and it will not resize itself

Wix says it plainly in Embedding a site or a widget: "The HTML and URL elements in our editor are iFrames. Therefore, the code or site you are embedding won't be responsive, even if it is originally." Your widget sits inside the fixed box you drew on the canvas. It does not measure itself against the page.

Reviews do not all take up the same space. An element sized for a two-line review can crop a six-line one. Wix's fix, in the same article, is to "replace the px values with percentage units and set them to 100%" in the code you paste. A script-only snippet has no px values to change, so the element's height is your only control. Size it for your longest review, then check it again a month later.

HTTPS only

Wix is blunt: "Your code must contain HTTPS and not HTTP", and "only HTTPS codes and URLs are displayed". An http:// script src produces a blank box and no error message.

Wix draws the same support line around both routes: "we cannot provide support for external codes that were not created or tested by Wix". If the block is empty, contact the widget provider.

You do not need Velo, and you do not want a custom element

Wix's custom element is a different feature with a real condition attached: "For security reasons, to use the custom element, you must upgrade your site with a Premium Plan, connect a domain and have no ads on it." A review widget does not need it. Use an ordinary script tag in an ordinary embed. Dev Mode is unrelated.

Do you need a paid Wix plan to embed Google reviews?

Not for one Embed HTML element on one page. Wix's article for that element documents no plan requirement, and the element sits in the Add panel whatever you are paying.

The plan question usually comes from advice to install the widget site-wide through Settings > Custom Code in the dashboard. That advice fails for two reasons.

Custom Code cannot show a widget at all. Wix's own article says the snippets you add there are "always invisible to your site visitors", and its FAQ sends you straight back where you came from: to display visual content, add an iFrame with HTML code.

Custom Code is for analytics and verification tags. A review block is not that.

Custom Code is gated as well. It opens with "make sure that your site is published and has a connected domain", and Wix's domain article closes the loop: "to connect your domain, you must upgrade your site. If your site doesn't already have a Premium or Studio site plan, you can choose to either upgrade your site, or reassign an existing plan."

So a review block on a free wixsite.com address is fine. Adding one to every page without editing every page is not, and Custom Code cannot do it for you.

Wix added one recent caveat. "In December 2025, Wix introduced new frontend security measures for custom code on Wix sites. This means that some code snippets that previously worked may now be blocked until the provider updates them." Wix says it affects dashboard custom code, embedded code and Velo code alike. If a widget that worked last year is now a blank box, start with the provider.

How to add Google reviews to a Wix website, step by step

Build the widget first. Connect the Google location in your review service, choose a layout, set the theme and copy the snippet. It is faster to settle the look before you start publishing and previewing in Wix.
Open the page in the Wix Editor and click Add Elements on the left, then Embed Code, then Popular Embeds, then Embed HTML. Popular Embeds is an option in the middle column, not a heading. Choose Embed HTML from the column on the right. The element arrives on the canvas as an empty box.
Drag the box to where the reviews belong. On a service page, put it below the booking or enquiry button rather than at the bottom of the homepage. Reviews help where someone is deciding, not where the page happens to end.
Click the element, then Enter Code, and paste the snippet under Add your code here. The panel asks What do you want to add? and offers Website address and Code, so choose Code. Then click Apply.

Wix's article calls the button Enter Code; the panel calls the option Code. Same thing.

Write the alt text in the field labelled What's in the embed? A screen reader gets no other description, because the frame's contents are invisible to the page.
Size the box. Drag the handles until the longest review fits, then leave a little more room.
Preview, publish, and open the live site. An embed can look fine in the editor and be empty on the live page. The usual causes are the HTTPS rule, a script the preview never ran or the December 2025 change above.

Wix Studio puts it under a different menu

Studio is a separate editor with different panel names, so the Wix Editor path will send you looking for a menu that is not there. In Studio the path is Add Elements > Embed & Social > Embed Code, then Enter Code, paste, Apply (Studio Editor: Adding an HTML iFrame Element).

Studio documents one detail that the classic Editor's article leaves out: your code runs in a sandboxed iframe, with allow-scripts and allow-same-origin re-enabled among others. That lets a script-tag widget run there.

The mobile version is a second job

Do not assume the desktop block carries over. Wix's mobile embeds article says desktop embeds may display differently on a phone because "certain iFrames are designed for specific screen sizes, and may not fit or align correctly on mobile devices". Its advice is to hide the desktop version and add a mobile-friendly alternative in the mobile editor.

Anything you add in the mobile editor is mobile-only and never appears on desktop. Give it its own snippet, height and usually a narrower layout. A three-column wall that reads well at 1440 pixels becomes a column of slivers at 390. A single-column list or carousel holds up better. The mobile path is shorter: Add > Embed Code > Embed HTML, with no Popular Embeds step in between.

Keeping the block honest, and current

Check these before you publish. The parent guide on how to embed Google reviews has the full treatment. This is the short version.

Google will not give you stars in search for reviews you host about yourself, and it names widgets specifically. Its 2019 review rich results FAQ says: "Google Search won't display review snippets for those pages. Embedding a third-party widget is seen as controlling the process of linking reviews." Switching on your widget's review schema is still worth doing, because it puts the rating on the page in a form search engines can read. It will not put stars under your own result. Your Business Profile is a separate surface and is unaffected.

Do not present a filtered block as everything you have. The FTC's Rule on the Use of Consumer Reviews and Testimonials went into effect on 21 October 2024. Its review suppression provision covers misrepresenting the reviews in a part of your site dedicated to displaying reviews as most or all of what you received. The FTC's own questions and answers add an important limit: sorting five-star reviews to the top is not covered by the rule, "however, organizing reviews in a way that makes it difficult for consumers to know about or find negative reviews could be an unfair or deceptive act or practice in violation of Section 5 of the FTC Act". None of this is legal advice. Use a filter you can explain in one sentence, put that sentence near the block and link to your Google profile. Ask every customer for a review, not a screened subset.

A review block can go stale where customers see it. Coastline Physio, a fictional two-clinic practice, could embed four good reviews under the Book now button on each clinic page and forget about it. A year later, the newest date still reads 2025 and the block makes the opposite case. An embed commits you to keep collecting. Send the Google review link after a job to keep the dates moving; how to get more Google reviews covers the rest.

FAQ

Can I add Google reviews to Wix for free? On one page, yes. The Embed HTML element carries no documented plan requirement, so the cost is whatever your widget service charges. Free tiers usually cap the reviews shown and keep the vendor's badge on the block.

Do I need a Wix Premium plan? Not for the embed. You need one for anything going through Settings > Custom Code, which requires a published site with a connected domain. Custom Code will not display a review block anyway, so it is rarely the reason to upgrade.

Why is my Wix embed a blank box? Check the protocol first: Wix only displays HTTPS code. Then check whether you are looking at the editor rather than the published page, and whether the element is tall enough to show anything. If a snippet worked before and stopped, ask the provider about Wix's December 2025 frontend security change.

Will the widget slow my Wix site down? It can. Third-party JavaScript loading in an iframe is often why a page that used to load quickly no longer does. Run a speed test after you add it, not before.

I use Squarespace as well. Is it the same? Close, but the surface differs. Squarespace takes the snippet in a code block rather than an iframe element, and JavaScript in a code block needs a Core plan or above. There is a separate walkthrough for adding Google reviews to Squarespace.

AI search optimization for local businesses: how ChatGPT, Gemini and Google decide who gets named

Lachlan Fea — Sun, 06 Sep 2026 00:00:00 GMT

AI search optimization is the work of making sure the systems that answer a question with generated text can find, read and repeat accurate information about your business. For a business with an address, that is five surfaces: ChatGPT, Gemini, Perplexity, and Google's own AI Overviews and AI Mode. None of the five publishes a ranking formula for local recommendations, and anyone quoting you one has invented it. All five do publish where their answers come from, and those sources overlap almost exactly with the things a local business was already meant to keep tidy.

In September 2026, page one for the term itself is Google's documentation, a Reddit thread and a run of agencies selling the acronym. Add "local business" to the query and the top result is a webinar listing. Almost none of it cites a primary source. This page quotes the vendors, links to what it quotes, says plainly where the documentation stops, and is the parent page for everything else we write about AI search for local business.

What AI search optimization means, and whether GEO and AEO are different

Google answers this one itself. Its guide to optimizing for generative AI features takes the two acronyms head on: "'AEO' stands for 'answer engine optimization' and 'GEO' for 'generative engine optimization'... From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO."

For Google's surfaces there is no second discipline to learn. The same page, last updated in July 2026, says the generative features "are rooted in our core Search ranking and quality systems". The AI features guide opens with the line worth pinning above a desk: "There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary."

ChatGPT and Perplexity do not run on Google's index, so there is a little more to it for them. It is still a short list, and none of it is exotic.

Grounding. Google describes retrieval-augmented generation as "a technique (also known as grounding) used to improve the quality, accuracy, and freshness of AI responses by relying on our core Search ranking systems to retrieve relevant, up-to-date web pages from our Search index". The model does not answer from memory. Something fetches pages first, and the answer is built out of what came back. Every assistant on this page works that way for a local question.

Query fan-out. Google defines it as "a set of concurrent, related queries generated by the model to request more information and fetch additional relevant search results". Its example: ask "how to fix a lawn that's full of weeds" and the fan-out queries might include "best herbicides for lawns", "remove weeds without chemicals" and "how to prevent weeds in lawn".

Fan-out is why the old habit of tuning one page to one phrase has stopped paying. "Best physio in Bondi" is not one search behind the scenes. It is several, about opening hours, about specific injuries, about parking, about who takes which health fund. A profile and a body of reviews that happen to answer six adjacent questions get retrieved more often than a page that answers one of them beautifully.

How AI search works for local businesses: the five surfaces

Surface	What happens when someone asks	Where the local facts come from	What the reader sees
ChatGPT	The question is rewritten into one or more web searches sent to search partners	Whatever those searches return, plus an approximate location from the person's IP address	Citations, a Sources list, and on iOS and Android sometimes a map
Gemini	Google Search; in the developer API, a documented Google Maps tool	Google's index; for the Maps tool, Maps itself	Inline annotations linking to Google Maps sources
Perplexity	A live search of the open web	Public pages its crawler can reach	Numbered citations on every answer
Google AI Overviews	Retrieval from Google's Search index, with query fan-out	Your indexed pages and your Business Profile	A summary with supporting links, above the ordinary results
Google AI Mode	The same, tuned for comparisons and follow-up questions	The same	A longer response with links to supporting websites

ChatGPT searches rather than remembers. OpenAI's help centre says it "can search the web to answer questions with current information and links to relevant sources" and "can also use location information to find local results" (Searching the web with ChatGPT). The rewriting is the part that surprises owners: ask "what are some good restaurants near me?" and, if ChatGPT reads San Francisco off your IP address, it "may rewrite your prompt into the search query 'top restaurants San Francisco'". What actually goes out is an ordinary local search, and the pages that come back are the raw material. Restaurants have one extra surface to think about, because the same help page says ChatGPT can show reservation times from OpenTable, Resy or Yelp. We pulled the ChatGPT half of this apart properly in does ChatGPT recommend businesses like yours.

Two lines on that page are worth reading before anyone sells you a guaranteed mention.

The second catches people out. Allowing the crawler in robots.txt is not the whole job: your host or CDN has to let OpenAI's published searchbot addresses through as well.

Gemini is the only one of the five whose documentation names reviews as an ingredient. Google's Grounding with Google Maps page describes a data retrieval step where the service "queries Google Maps for relevant information (e.g., places, reviews, photos, addresses, opening hours)", and lists place questions as the first use case.

That documentation covers the Gemini API, which is what developers build on rather than what you get in the Gemini app. Read it as the clearest published statement that review text is read, not as a description of every Gemini answer.

Perplexity is the simplest and the least about your website. Its help centre says it will "search the internet in real-time" and that "each answer includes numbered citations linking to the original sources" (How does Perplexity work?); its crawler documentation names PerplexityBot as the one to let in. For a local question the answer is assembled from whatever public pages discuss your category in your area, which is usually directories, roundups and review sites before it is you.

AI Overviews and AI Mode run on the index you already rank in. Google's eligibility rule is one sentence: a page "must be indexed and eligible to be shown in Google Search with a snippet, fulfilling the Search technical requirements. There are no additional technical requirements." Two other lines matter to anyone measuring this. AI Overviews "are only shown when our systems determine that it is additive to classic Search, and as such, often don't trigger", so a query that shows one today may not tomorrow. And both features use fan-out to "display a wider and more diverse set of helpful links associated with the response than with a classic web search".

One switch can shut you out of both. Since 31 August 2026 every Search Console property has a Search generative AI control under Settings. Include is the default; exclude means "you won't receive any traffic or impressions from these features". Worth two minutes to confirm nobody has touched it.

The inputs all five have in common

Six things feed a local answer on every one of those surfaces. Only some are documented, and the table says which.

Input	Who documents it	What you do about it
A complete Google Business Profile	Google, on local ranking and again in the AI features guide ("Checking that your Merchant Center and Business Profile information is up-to-date")	Right primary category, real hours, every field filled
How many reviews you have, and the rating	Google: "More reviews and positive ratings can help your business's local ranking"	Ask every customer, every week, not in bursts
What the reviews actually say	Google, in the Gemini Maps grounding docs	Ask at the moment the job finishes, so people describe the job
The same details on every site that lists you	Nobody publishes a weighting; ChatGPT reads whatever the web returns	Fix the directories that disagree with your profile
Pages elsewhere that mention you	OpenAI and Perplexity both describe crawling and citing public pages	Get onto the roundups and association lists the answers already cite
A site the crawlers can reach	OpenAI, Perplexity and Google all publish crawler names	Check that robots.txt and your CDN allow OAI-Searchbot, PerplexityBot and Googlebot

Review text and citations elsewhere are the two inputs local businesses often overlook.

Review text is the input almost nobody works on. Count and rating get the attention because they are visible on the profile. But nobody writes "great service" in an answer about rotator cuff rehab or emergency gas fitting. If forty of your reviews name the treatment, the technician, the breed or the machine, an assistant has forty sentences it can match against a specific question. If all forty say "highly recommend", it has none, and you are competing on star rating alone. You get that language by asking promptly, not by asking for it.

Citations elsewhere are the input you cannot buy. Perplexity will happily answer a local question without touching your website, using the directory pages and local roundups that rank for your category. Reading the citation list under an answer is the fastest work list in this whole discipline: if the same roundup is cited every month and you are not in it, that is a job with a name.

Both of those come out of ordinary review work. How to get more Google reviews covers the ask and the timing, and adding your business to Google Maps covers finishing the profile.

What does not work

Paying. Google's local ranking page states it flatly: "There's no way to request or pay for a better local ranking on Google." OpenAI says the same about ChatGPT's ads, which began as a US test in February 2026 and has since expanded to Canada, Australia, New Zealand and several other markets: "Ads do not influence the answers ChatGPT gives you", and an ad is "always clearly labeled as sponsored and visually separated from the organic answer" (Testing ads in ChatGPT, updated 11 August 2026). Buying the ad buys the ad.

Filtering who you ask. Sending happy customers to Google and unhappy ones to a private form is against Google's prohibited and restricted content policy, which stops merchants who "discourage or prohibit negative reviews, or selectively solicit positive reviews from customers". It also produces a review corpus that does not describe your business, which is exactly the wrong outcome when the text is being read back to a customer. Cloutly has not had a rating step in front of the review sites since 2021. Review gating is the longer version.

Asking customers to include keywords. The same policy tells merchants they should not "request that specific content be included". The template that says "please mention emergency plumbing in Newcastle" is a policy breach on the profile you can least afford to lose, in exchange for an effect no vendor has ever documented. Ask promptly instead. A customer asked the same day writes about the job they just had, and the language arrives on its own.

Writing reviews with AI. Generated review text is fabricated review text no matter who typed the prompt. Every platform that hosts reviews bans it, and it corrupts the one asset on this list that an assistant reads as evidence.

The file-and-markup tactics. Google's mythbusting section names them one by one. On llms.txt: "You don't need to create new machine readable files, AI text files, markup, or Markdown to appear in Google Search (including its generative AI capabilities), as Google Search itself doesn't use them." On rewriting: "You don't need to write in a specific way just for generative AI search." On buying mentions: "seeking inauthentic 'mentions' across the web isn't as helpful as it might seem." And on schema: "Structured data isn't required for generative AI search, and there's no special schema.org markup you need to add", though it stays worth having for rich results.

That list is specific to Google, and Google says so: keeping an llms.txt file for other services that use one "will neither harm nor help your site's visibility or rankings in Google Search". So the file is site hygiene for the non-Google assistants if you want it. It is not the lever, and an agency selling it to a plumber as one is selling the wrong thing.

Google adds a warning about the tools built on top of all this, and it applies to every vendor in the category including us: "Be wary of third-party tools that promise ranking success or claim to use 'internal' Google metrics. No third-party tool has access to our internal ranking or AI systems."

AI answers send fewer people to your site. Being named is the point.

An assistant that answers the question well has given the customer what they came for. Some of those people will never click anything, and no vendor publishes a click-loss figure for local queries, so treat any number you are quoted as somebody's estimate rather than a measurement.

What Google does publish is the shape of what is left: "when people click from search results pages with AI Overviews, these clicks are higher quality (meaning, users are more likely to spend more time on the site)." Fewer visitors, further along.

For a business with a phone number this is less of a change than it is for a publisher. Your outcome was never a session. It was a call, a booking, a direction request or someone walking in. Being named in the answer, with the right phone number attached, does that job whether or not anyone visits your website on the way. So measure the outcome rather than the traffic, and check the naming separately.

For Google's surfaces you now have a first-party report. Search Console's Generative AI performance report was rolled out to all websites worldwide on 31 August 2026 and covers AI Overviews and AI Mode. Read it for what it is: impressions, grouped by page, country, date or device. Nothing outside Google Search appears in it, so for ChatGPT, the Gemini app and Perplexity the only honest method is still to ask them and write down what comes back.

How to get found in AI search: the monthly check

Spend ten minutes on the same day each month and write the results down. One answer is only one sample. Look for the pattern across months and the source list that keeps appearing.

Fix eight prompts and stop changing them. Mix the shapes: "best [category] in [suburb]", "[category] near [landmark] open [day]", "who should I see for [a problem you solve] in [suburb]", "is [your business] any good", "[your business] or [a rival you actually lose to]". The full set is in does ChatGPT recommend businesses like yours.
Name the location in the prompt. OpenAI's own advice when local results show the wrong area is to "include your city, neighborhood, or postal code in your question". Do not let the assistant guess it from your office connection.
Run each prompt in a fresh chat, signed out where you can be, in all three assistants. Memory and chat history change the rewritten query. Testing inside your logged-in account measures your account.
Record seven things. Whether you were named, where in the list, which rivals were named, which sources were cited, whether the phone number and hours came back right, which assistant, and the date.

Treat every result as one sample. These systems are not deterministic and a re-ask can differ, so one miss is not a verdict and one hit is not a ranking. If you would rather not run it by hand, Cloutly's AI search visibility asks ChatGPT, Gemini and Perplexity discovery questions such as "best {category} in {locality}" once a month and records whether each location was named and which rivals were.

Where to start

If you run one site, in this order:

Finish the Google Business Profile. Primary category first, then hours, then every remaining field.
Check the crawlers can reach you: robots.txt, your CDN's bot rules, and the Search generative AI control in Search Console. Blanket AI blocks were fashionable in 2023 and some are still sitting there.
Start asking every customer for a review, promptly, forever. Not a drive.
Fix the two or three directory listings that carry an old phone number or an old address.
Run the monthly check for three months before you conclude anything.

If you run a network, the order changes, because your problem is variance between sites rather than absence:

Make one location correct end to end and use it as the reference. Category, hours, description, photos.
Run the check per location, not per brand. The flagship being named tells you nothing about the suburban sites, and it is usually the suburban sites that are invisible.
Sort by worst first. A weak location drags only itself, so the return is highest where the profile is emptiest.
Get every site asking for reviews the same way, so the corpus is comparable and no location is running on a manager's memory.
Fix the details centrally. Twenty listings drifting in twenty directions is a listings problem before it is an AI problem.

Where to go deeper

The pieces below each take one part of this page further.

How it works

Does ChatGPT recommend businesses like yours? How to check
AI Overviews for local businesses: how to appear
SEO for Google AI Mode: what a local business has to change
Perplexity and Gemini answer local questions differently from ChatGPT

Measuring it

The reviews link

Do Google reviews affect ranking? What Google confirms, and what it doesn't
AI and Google reviews: do they change what AI says?
The AI summary above your reviews: where it comes from and what to do about it

The vocabulary

GEO vs SEO, AEO and LLMO: what the acronyms mean for a local business
AI visibility explained: what it measures, what it can't
Do you need an llms.txt file?

For the numbers behind any of it, AI search statistics carries a publisher, an edition and a sample on every figure.

Frequently asked questions

Does AI search replace my Google Business Profile?

No. It reads it. Google names Business Profile information in its own generative AI guidance, Gemini's Maps grounding queries Maps directly, and a ChatGPT search on a local question returns the local results your profile sits in. The profile has become more load-bearing, not less.

Which assistant should I care about most?

Nobody publishes a share of local questions by assistant, so anyone ranking them for you is guessing. Ask all three directly, watch the AI Overview on your own category search, and notice that they fail differently. ChatGPT and Perplexity miss you when you are absent from the pages they retrieve. Google's surfaces miss you when your profile is thin.

How long before any of this changes an answer?

Nobody outside the vendors can say, and it is not one lever with a lag. A review appears on your profile in a day or two. The next answer might reflect it immediately or not at all, because the answer is rebuilt from a fresh retrieval each time. Check monthly and read the trend, not the run.

Do I need a separate version of my website for AI?

No. Google warns that spinning up content for every variation of how somebody might search, done to manipulate rankings or AI responses, breaches its scaled content abuse spam policy. Write for people and organise with ordinary headings and paragraphs. The one genuine adjustment for the non-Google assistants is making sure the facts a customer needs, which for a local business means hours, address, phone, services and prices, sit in text on a page rather than inside an image or a script.

AI and Google reviews: do they change what AI says?

Lachlan Fea — Sun, 06 Sep 2026 00:00:00 GMT

Yes, and only one vendor documents it plainly. Google's Gemini API says its Maps grounding step "queries Google Maps for relevant information (e.g., places, reviews, photos, addresses, opening hours)", and answers questions about a place "based on Google user reviews and other Maps data". Everything else written about AI and Google reviews is inference from that, or somebody's guess dressed as a ranking factor.

Every quote below has a link and a date. Where a vendor has published nothing, this page says so instead of filling the space. AI search optimization for local businesses explains how these systems answer local questions; this page covers the reviews input.

AI and Google reviews: which assistants document reviews as an input

Four surfaces, and they are not equally forthcoming. Only Google names reviews as something retrieved, and only in its developer documentation.

Assistant	What the vendor documents about reviews	Where that leaves you
Gemini	Grounding with Google Maps (updated 2 September 2026): the service "queries Google Maps for relevant information (e.g., places, reviews, photos, addresses, opening hours)", and the first use case is answers "based on Google user reviews and other Maps data"	Reviews named as a retrieved input, in writing
Google AI Overviews and AI Mode	No review-specific rule. The AI features guide (updated 10 December 2025) says "the best practices for SEO remain relevant" and there are "no additional requirements to appear in AI Overviews or AI Mode". The optimization guide (updated 10 July 2026) says Google Business Profiles "can help your products and services to be visible in both AI responses and other Google Search results"	Reviews reach it the way they reach ordinary local Search
ChatGPT	Reviews are not named at all. What is documented is the mechanism: ChatGPT search "typically rewrites your query into one or more targeted queries" sent to search providers, and the answer is built from what those return	Your reviews count when a page carrying them is retrieved
Perplexity	Reviews are not named. Documented: it will "search the internet in real-time", and "each answer includes numbered citations linking to the original sources" (How does Perplexity work?)	Same as ChatGPT. Reviews count through the pages that carry them

Two things follow that most of the advice on this topic skips.

The Gemini quote comes from the developer API, which is what an application gets built on rather than a description of every answer the Gemini app gives. Read it as the clearest published statement that review text gets retrieved and read, not as proof that it happens on every query.

And for ChatGPT and Perplexity, your reviews are not a signal the assistant holds an opinion about. They are content on a page. If a Google Maps place page, a directory listing or a local roundup carrying your reviews comes back in the retrieval, the text of those reviews is in front of the model. If nothing carrying them comes back, they may as well not exist. OpenAI is blunt about the ceiling: "ChatGPT ranks search results using multiple factors intended to help users find relevant, reliable information. Placement is not guaranteed."

How AI reads reviews: the nouns are the point

Reviews are the longest piece of writing about your business that you did not write. That is the whole argument. A model answering "who can see a rabbit in [suburb] on a Saturday" is looking for text that matches "rabbit" and "Saturday", and the only place those words are likely to appear about your clinic is in what your customers wrote.

Google demonstrates this on its own surface. The Places API's AI-powered review summaries (updated 1 September 2026) are "AI-generated summaries of places based solely on user reviews", produced "by synthesizing key elements of user reviews, such as place attributes and reviewer sentiment". Solely. Not your description, not your website copy. It is a developer feature, and Google says the summaries are not guaranteed for every place, so do not read it as something every listing gets. Read the principle: given a place, Google will write a description of it out of review text alone.

Take Rowan Street Vet, a fictional two-vet clinic with 96 reviews at 4.8 stars. Eighty of them say some version of "lovely staff, highly recommend". Those eighty are not useless. They hold the rating up, and the rating is real. But there is no sentence in them about rabbits, about after-hours, about a nervous dog or the cost of a dental. Nothing in them matches a question.

The other sixteen say things like "took our rabbit in on a Saturday morning when nobody else would look at an exotic" and "explained the dental quote line by line before doing anything". Those sixteen name a species, a day, a service and a behaviour. When somebody asks a question shaped like any of those, there is text to match.

Nothing about that requires you to script anything, and scripting it breaks Google's rules anyway. It follows from when you ask. A customer asked the same afternoon writes about the thing that just happened to them. A customer asked six weeks later writes "great service", because that is all they still remember.

Do review volume and recency change what AI says?

Volume and rating have documented weight in one place, and it is not an AI system. Google's local ranking page describes prominence as "how well-known a business is", then: "This factor's also based on info like how many websites link to your business and how many reviews you have. More reviews and positive ratings can help your business's local ranking." That is a statement about local Search and Maps. Gemini grounds on Maps, and a rewritten ChatGPT search returns local results, so the effect reaches the assistants second-hand. Second-hand is still real. It is also still second-hand, and most of the pages on this topic quietly drop that word.

Recency is different. Nobody documents it. Not Google, not OpenAI, not Perplexity. What can honestly be said is an observation: a profile whose most recent review is from 2023 reads as abandoned to a person, and retrieval systems generally favour current pages. Both are reasonable. Neither is published. So when somebody hands you a freshness window or a monthly review quota, the useful question is which document it came from, and the answer will be that it came from them.

Weighting is the same story. Nobody publishes what a review is worth against a link, whether Google reviews count differently from a trade directory's, or whether any threshold exists at all. Google's position on its own local ranking is that "we do our best to keep the search algorithm details confidential to make the ranking system as fair as possible for everyone", and no assistant has been more generous than that. Whether reviews move your local ranking is the fuller version of the documented half.

Your replies are text too

Everything above applies to what you write under a review. Google puts it in the reader-facing form on the same local ranking page: "When you reply to customer reviews, it shows that you value their feedback. Positive reviews and helpful replies can help your business stand out."

Where a reply gets read is worth being precise about. The Places API's review object carries the review text, the rating, the author, the timestamp, a flag link, a Maps link and a visit date. There is no field for the owner's reply. And the AI review summaries are drawn solely from user reviews. A reply is not reaching a model down either of those routes.

It reaches a model the way any other text does. Your reply is visible on the Maps place page and on any site that renders your reviews, so it is there to be read when one of those pages is retrieved.

What that means in practice is unglamorous. A reply that says "Thanks Sam" adds nothing to the page. A reply that names the treatment, corrects a factual error in the review, or states your actual cancellation policy adds a sentence of your own words to the only page about you that a customer and a model both read. Review response examples covers what a good one looks like for each kind of review.

The tactics that do not work, in Google's own words

Three tactics are being sold against this topic right now. All three break Google's prohibited and restricted content policy, which governs the profile you can least afford to lose.

Filtering who you ask. Sending happy customers to Google and routing unhappy ones to a private form is covered directly: merchants must not "discourage or prohibit negative reviews, or selectively solicit positive reviews from customers". It also defeats everything above. If review text is the raw material an assistant reads, a filtered corpus is one that does not describe your business. Cloutly has not had a rating step in front of the review sites since 2021, and review gating is the longer argument.

Incentives. The policy prohibits merchants who "offer incentives" of any kind, naming payment, discounts and free goods or services, "in exchange for posting any review or revision or removal of a negative review". The permitted version sits in the same document and is the whole job: "solicit or encourage the posting of content that does represent a genuine experience, without offering incentives to do so or attempting to influence the rating or the contents of the review."

Asking for specific words. This is the one that looks clever after reading the section above, and the policy names it twice. Merchants must not attempt "to influence the rating or the contents of the review", and the prohibited list covers merchants requesting that staff "solicit reviews that include specific content, including content that identifies a staff member". The template that says "please mention emergency plumbing in [suburb]" breaks the rule in exchange for an effect no vendor has ever documented. Ask promptly instead and the specifics arrive on their own, because the customer still remembers them.

There is a fourth, which is less a tactic than a category error. Search anything in this area and something will offer to write your Google reviews for you with AI. Nothing that comes out of that is a review. It is a paragraph about a visit nobody made, banned on every site that would host it, and worthless to an assistant for the same reason real reviews are valuable: nobody experienced it.

What to do instead

None of it is new work. It is the same three jobs, done for a reason that has changed. The acronyms sold around it are unpacked in GEO vs SEO, AEO and LLMO, and Google's own surface has SEO for Google AI Mode.

Ask everyone, at the moment the job finishes. Not a drive, not a filtered list. Everyone, promptly, so the review describes the specific thing rather than the general feeling. How to get more Google reviews covers the ask and the timing.
Reply to everything, with a sentence that carries information. The reply is public text on the page an assistant reads, and Google says helpful replies help you stand out.
Keep the listing consistent everywhere. ChatGPT reads whatever the web returns about your hours and phone number, and OpenAI's own warning is that "search results and citations can be incomplete, outdated, or incorrect". Adding your business to Google Maps is the setup guide for the profile all of this rests on.

Then check whether any of it moved. There is no report for this, so the honest method is to ask the assistants the questions your customers ask and write down what came back, month after month, treating each answer as one sample rather than a rank. Does ChatGPT recommend businesses like yours has the prompt set and the log. Cloutly runs that sweep for you: AI search visibility asks ChatGPT, Gemini and Perplexity discovery questions such as "best {category} in {locality}" once a month and records whether each location was named and which rivals were.

No review count guarantees a mention in an AI answer. Anyone quoting one has made it up. Specific, current reviews put something about your business in front of the model in language that matches what somebody asked. Whether it gets used is not yours to control.

Frequently asked questions

Does ChatGPT use Google reviews?

Not directly, and OpenAI does not name reviews anywhere in its documentation. ChatGPT rewrites the question into a web search and builds the answer from the pages that come back. If one of those is your Google Maps listing, a directory entry or a local roundup that carries your reviews, the review text is in front of the model. If not, it is not.

How many reviews do I need before AI recommends my business?

Nobody knows, and nobody has published a threshold. Google documents that more reviews and positive ratings can help local ranking, and stops there. A number quoted at you came from the person quoting it.

Do reviews written by AI help?

No. They are fabricated, they are prohibited on every site that would host them, and they defeat the purpose. What makes a review useful to an assistant is that a real customer described a real thing.

Do old reviews stop counting?

No vendor documents an expiry, a decay curve or a freshness window. What is observable is that a profile with nothing recent looks dormant to a human reader, and that these systems retrieve from the current web rather than a snapshot. Treat steady collection as the sensible default, not as a documented requirement.

Does ChatGPT recommend businesses like yours? How to check

Lachlan Fea — Sun, 06 Sep 2026 00:00:00 GMT

Does ChatGPT recommend businesses? Yes. Ask it for the best physio in your suburb and it will name three or four of them, with links. Whether it names yours depends on what it can find about you on the open web at the moment somebody asks, and none of the assistants publishes a ranking formula for local recommendations. What OpenAI, Google and Perplexity do publish is where the answer comes from, and that is enough to work with.

Most of what is written on this is guesswork, including several of the pages ranking for it today. So this piece quotes only what the three vendors have published themselves, says where that runs out, and gives you a test you can run in ten minutes a month.

ChatGPT answers a local question by searching the web, working out roughly where you are, and reading what it finds. OpenAI's help centre is direct about it: ChatGPT "can search the web to answer questions with current information and links to relevant sources" and "can also use location information to find local results, including restaurants, news, and weather" (Searching the web with ChatGPT, updated August 2026). Four details on that page matter to a business owner.

The question is rewritten before it is searched. OpenAI's own example: ask "What are some good restaurants near me?" and, if ChatGPT works out from your IP address that you are in the San Francisco area, it "may rewrite your prompt into the search query 'top restaurants San Francisco'". What goes out is an ordinary local search, and the pages that come back are the raw material for the answer. If the person has memory switched on, saved facts get folded into the rewrite too, which is one reason the same question from two people returns different businesses.

Location is approximate unless the customer hands over more. ChatGPT uses "an approximate location based on your IP address", and device location sharing "is optional and off by default". Someone on a home connection three suburbs away can be shown a different set of businesses from someone standing outside your door.

The sources are visible. Responses that use web search "may include citations", with a Sources control that opens the full list, and on iOS and Android "relevant results may also include a map". Read that list. It tells you which pages the answer was built from.

A website can be shut out, and no website is ever guaranteed in. OpenAI's crawler documentation says "sites that are opted out of OAI-SearchBot will not be shown in ChatGPT search answers, though can still appear as navigational links", and a robots.txt change takes about 24 hours to register. If somebody once dropped a blanket AI block into yours, check that before anything else here. Going the other way, the help centre closes off the ranking speculation in one line: "ChatGPT ranks search results using multiple factors intended to help users find relevant, reliable information. Placement is not guaranteed."

One correction, because it appears on most of the pages ranking for this question: ChatGPT does not answer local questions out of training data any more. Web search reached everyone, signed in or not, on 5 February 2025. "It only knows what it was trained on" was true in 2023 and is a bad model of the thing now.

Gemini and Perplexity get their answers somewhere else

The three assistants work differently, so your effort should follow the sources each one uses.

	Where a local answer comes from	How it places you	What the reader sees
ChatGPT	A rewritten web search sent to third-party search providers, plus partner data	Approximate IP location; device location optional and off by default	Citations, a Sources list, and a map on mobile
Gemini	Google Search, and for developers a documented Google Maps grounding tool	Coordinates supplied by the app, or the place named in the question	Inline annotations linking to Google Maps
Perplexity	A live web search across pages its crawler can reach	The place named in the question	Numbered citations on every answer

Google's Gemini API documents a tool called Grounding with Google Maps, and it is unusually specific about the ingredients. At the data retrieval step the service "queries Google Maps for relevant information (e.g., places, reviews, photos, addresses, opening hours)", the model answers out of that, and the response carries "inline annotations linking to Google Maps sources". The first use case Google lists is handling place-specific questions: "Ask detailed questions about a specific place to get answers based on Google user reviews and other Maps data."

That is the clearest statement any vendor has made that your reviews are read as text when an assistant answers a question about your category.

For Google's consumer surfaces the guidance is shorter and points at the same place. Search Central says generative AI responses "can include product listings, product information, and information about local businesses", and that "Merchant Center feeds and Google Business Profiles can help your products and services to be visible in both AI responses and other Google Search results" (guide to optimizing for generative AI features). Its AI features guide opens by saying there is no separate game to play.

Perplexity is the simplest of the three. Its help centre says it uses AI to "search the internet in real-time" and that "each answer includes numbered citations linking to the original sources" (How does Perplexity work?). Its crawler documentation adds that PerplexityBot exists "to surface and link websites in search results on Perplexity". For a local query, the answer is assembled from whatever public pages mention your category and your area: directories, review sites, roundups, your own site.

For a business with an address, that is three of five surfaces. AI search optimization for local businesses covers all five, including Google's own AI Overviews and AI Mode, and the inputs they share.

Partly, and reviews are the only input on this list that a vendor has documented reading as text. Nobody publishes weightings for any of it. What follows is what the three vendors say they read, ordered by how much you can do about each one.

A complete Google Business Profile. Google's page on local ranking says local results "are mainly based on relevance, distance, and popularity", and that to improve relevance you should "provide complete and detailed business info". You cannot change how far you are from the person asking. You can finish the profile this afternoon.

Review count and rating. The same page, on prominence: "This factor's also based on info like how many websites link to your business and how many reviews you have. More reviews and positive ratings can help your business's local ranking." Gemini grounds on those local results, and a rewritten ChatGPT search returns them.

Review recency, which nobody documents. Google says nothing about it. Neither does OpenAI. It is a reasonable assumption, because a profile whose newest review is from 2023 looks abandoned to a person and probably to a model. It stays an assumption. Anyone quoting you a freshness window as a ranking factor invented the number.

What the reviews say, not only how many there are. The input most owners skip. Gemini's documentation makes it concrete: a question about a place is answered out of review text. Nobody writes "great service" in an answer about rotator cuff rehab. If forty of your reviews name the treatment, the technician, the breed or the machine, you have forty sentences an assistant can match to a question. If they all say "highly recommend", you have none.

The same details everywhere you are listed. ChatGPT rewrites the question into a web search and reads what comes back, so whatever the web says about your hours and phone number is what it repeats. OpenAI's warning is worth putting in front of anyone who assumes accuracy: "search results and citations can be incomplete, outdated, or incorrect."

Pages the assistants can read that mention you. Directories, local roundups, a supplier's stockist page, an association member list, a news mention. These are the citations that turn up under a local answer, and they are why a business with a thin website can still get named.

No, and that is documented rather than assumed. OpenAI began testing ads in ChatGPT in February 2026, on the Free and Go tiers, and the announcement is explicit on the point that matters here: "ads do not influence the answers ChatGPT gives you", and an ad is "always clearly labeled as sponsored and visually separated from the organic answer" (Testing ads in ChatGPT, updated 11 August 2026). Buying the ad buys the ad. It does not buy the recommendation above it.

There is also nothing to install. Google's mythbusting section is blunt: "you don't need to create new machine readable files, AI text files, markup, or Markdown to appear in Google Search (including its generative AI capabilities)". No llms.txt, no special schema, no AI-flavoured rewrite of your pages.

The shortcut people do try is buying reviews, and it is banned in the place the assistants read. Google's contribution policies disallow "reviews or ratings that have been paid for, directly or in kind" and forbid merchants from offering "incentives such as payment, discounts, free goods and/or services" in exchange for them. Filtering is the same problem in a nicer suit: the policy also stops merchants who "discourage or prohibit negative reviews, or selectively solicit positive reviews from customers", and a filtered profile does not describe your business anyway. Ask everyone or ask nobody.

How to test whether ChatGPT recommends your business

Run the check once a month, on the same day, and write the results down. Ten minutes is enough. A single answer is not the point. The trend across months is, and so is the list of sources you keep seeing.

Write eight prompts and then stop changing them. Vary the shape, not the wording, month to month:
- best [category] in [suburb]
- [category] near [landmark] open [day]
- who should I see for [a specific problem you solve] in [suburb]
- best [category] in [suburb] for [customer type]
- [category] in [suburb] with [the thing people ask for: parking, late nights, a particular insurer]
- is [your business name] any good
- [your business name] reviews
- [your business name] or [a rival you actually lose to]
Name the location in the prompt. OpenAI's advice when local results show the wrong area is to "include your city, neighborhood, or postal code in your question". Do not rely on the assistant guessing it from your office connection.
Run every prompt in a fresh chat, in all three assistants, signed out where you can be. Memory and chat history change the rewritten query, so testing inside your logged-in account measures your account, not the world.
Record six things per run. Whether you were named, where in the list, which rivals were named, which sources were cited, whether your phone number and hours came back right, and the date.
Treat each result as one sample. These systems are not deterministic, so a re-ask can differ. One miss is not a verdict and one hit is not a rank.
Read the citations, because that is the work list. If the same directory or roundup is cited every month and you are not on it, that is a concrete job. If your Business Profile is the only source cited, everything rests on one page.

A spreadsheet with seven columns holds all of it. Two rows from a first month, one hit and one miss:

Prompt	Assistant	Named?	Position	Rivals named	Sources cited	Facts correct?
best physio in [suburb]	ChatGPT	yes	2	two rivals	Business Profile, a local roundup	phone number wrong
best physio in [suburb]	Gemini	no		three rivals	Maps

If you would rather not run it by hand, Cloutly's AI search visibility asks ChatGPT, Gemini and Perplexity discovery questions such as "best {category} in {locality}" once a month and records whether each location was named and which rivals were.

What changes when you ask every customer for a review

Here is the shape of it, with an invented business so nobody mistakes this for a case study. Coastline Physio has two sites and 31 Google reviews between them, most written in 2023, most of them one line long. Six months of asking every patient at the end of a course of treatment takes that to 180, all current, a good share of them naming the injury and the physio who treated it.

Three things follow, and they are not equally certain. The local ranking has a documented reason to improve, because Google says more reviews and positive ratings can help it. The reviews now carry language that matches real questions, which follows from Gemini's documentation on reading Maps reviews. And the profile stops looking dormant, which is the recency argument: plausible, undocumented.

What does not change is the certainty. There is no number of reviews that buys a mention in an AI answer, and a vendor promising one is selling something they cannot deliver. What reviews buy is candidacy: you become a business the assistant has something to say about. The rest is the unglamorous work it always was. Get more Google reviews steadily rather than in bursts, keep your Google Business Profile complete and accurate, and reply to the reviews you get so the profile reads as tended. Whether reviews move your local ranking is the longer answer.

FAQ

How do I get ChatGPT to recommend my business? There is no submission form and no setting. Finish your Google Business Profile, make your details match everywhere you are listed, collect current reviews whose text names what you actually do, and check your site is not blocking OAI-SearchBot or PerplexityBot. Then test monthly and work the sources the answers cite.

Why does ChatGPT name my competitor and not me? Usually for a reason you can check. They are cited in a source the assistant reached and you are not, or their profile answers the specific thing that was asked and yours does not, or the assistant placed the customer nearer to them. The Sources list tells you which.

How often should I check? Monthly. More often is misleading: a re-ask can return a different answer, so short-interval checking measures noise. Same prompts, same day each month, in a log you keep.

Google review link: how to get it, and where to put it

Lachlan Fea — Sun, 06 Sep 2026 00:00:00 GMT

Your Google review link is the URL that opens the review box on your Business Profile with the star selector already showing. You copy it from your own profile, on a computer: Read Reviews, then Get more reviews, then Copy. That part takes a minute.

Once you've copied it, the real work is deciding where the link lives and what a customer has to do after they tap it. Two things break it most often, and neither is the URL: the customer has no Google account, or the profile you copied it from is not the listing people find.

Google's own instructions, read 6 September 2026. Note the line about QR codes and computer browsers.

How to get your Google review link

These are Google's own instructions, as they stand in September 2026:

Go to your Business Profile. Signed in to the account that manages it, searching your own business name on Google is the quickest way there. If you cannot find the profile at all, how to see your Google reviews covers where it lives now.
Select Read Reviews, then Get more reviews.
To copy the review link, select Copy. To save the QR code, right-click it and select Save image as.

One catch trips people up. Google says reviews QR codes "can only be generated on a computer browser, not on mobile devices". Do this on a computer, not on a phone between appointments.

Then paste the link somewhere you will not lose it. A pinned message in the team chat works. So does the shared document where the rest of your marketing assets live. Most owners who come looking for this link have copied it before and cannot remember where it went.

Building the link from a Place ID

You can also build the URL yourself. Every place on Google Maps has a Place ID, which Google defines as "a textual identifier that uniquely identifies a place". Look yours up in Google's Place ID finder, put it after https://search.google.com/local/writereview?placeid=, and you get the same review box.

It deserves an honest label, because most articles give it none. Google does not document that URL. The Place ID finder sits in the Maps Platform developer documentation, which is written for people building apps, and no Business Profile help page tells a business owner to construct a review link this way. It works today. It is not a supported feature, so it can change without a deprecation notice. Google also warns on that same page that "Place IDs may change over time".

Volume is the one case where it earns its keep. If you are building links for forty locations and the Place IDs are already sitting in a spreadsheet, generating the URLs beats clicking through forty profiles. For a single business, copy the link Google hands you.

Short links, QR codes and the g.page name you cannot get any more

The link Google gives you is fine in a text message, where nobody reads the URL. It is ugly on a printed docket, which is why businesses go looking for something shorter.

Custom short names used to be the answer. A business could claim a name and hand out g.page/yourbusinessname. Google's help page on short names now says you can no longer create or edit short names, and that the ones that already exist "will still work but will no longer be shown on the Business Profile to customers". A short name already painted on a window keeps working. You cannot get a new one.

Third-party shorteners are the usual substitute. They work, with two things worth knowing before you print five thousand of anything. A shortened link hides where it goes, which costs you some trust in an SMS. And a free shortener account can lapse and take the link with it. If you shorten, use a domain a customer will recognise as yours.

For anything physical, a QR code sidesteps the problem. Google's panel gives you one, and there is a Google review QR code generator here if you want a printable poster in the next five minutes. Either way, test the code at the size it will be printed, from where a customer will be standing, before you order the run.

If you would rather not touch Business Profile, a generator will build the code off your listing and lay out the poster for you.

Where to put your Google review link

Google names four places on the same help page: on your receipts, in your thank you emails, at the end of a chat interaction, and printed and displayed in your store. That is a fair start, and it leaves out the one that does the most work. Trades put it on the van and the invoice, which getting reviews for home services goes through, and a site can carry the reviews themselves, as in adding Google reviews to Wix.

Where	Why it works	What to watch
A text message after the job	It arrives on the device the review gets written on	One message, one link, no preamble
Your email signature	Costs nothing and runs on every thread you already have	It is passive, so treat it as a bonus rather than the ask
The invoice or the receipt	The customer is already looking at it, and it dates the ask to the job	Print the QR code, not the URL
A card at the counter or on the desk	Catches the customer who never opens a message	Somebody has to actually hand it over
Your website's thank-you or confirmation page	Reaches people mid-transaction with no extra send	Only meaningful if the job is genuinely done at that point

The text message and the QR code cover for each other. The message reaches the customer who has already left; the code catches the one who never opens anything from a business.

Timing beats placement anyway. The same link sent an hour after a haircut and a fortnight after a haircut are two different messages. If sending them by hand is the bottleneck, that is what review campaigns do: a repeat customer is one contact asked once, a second booking moves the ask rather than adding one, and anyone who reviewed you in the last 90 days is skipped. For the wording that goes around the link, there are copyable review request templates for SMS and email.

The link is an invitation, not a gate

Send the link to everyone you served. Not the happy ones. Not the customers you have a good feeling about.

Google's Maps user generated content policy files the alternative under rating manipulation. Merchants must not "Discourage or prohibit negative reviews, or selectively solicit positive reviews from customers". Filtering who gets the link is exactly that, whether you do the filtering by hand or with software that asks for a star rating first.

The same list bans paying for the outcome. Merchants must not "Offer incentives ... in exchange for posting any review or revision or removal of a negative review". In the United States that is law as well as policy: the Federal Trade Commission's rule on consumer reviews and testimonials (16 CFR Part 465, announced 14 August 2024) bans compensation or incentives conditioned on a review expressing a particular sentiment, and lets the FTC seek civil penalties against violators.

One more line in that list governs both the counter card and the staff leaderboard. Google says that when soliciting reviews, "merchants should not require or pressure users to leave ratings or write reviews while on the premises, nor should they request that specific content be included", and it spells out that this covers asking staff to bring in a set number of reviews, or asking staff to solicit reviews that name them. So leave the card on the counter. Do not stand over anybody while they write, do not tell them what to say, and do not set your team a monthly review target.

What Google does allow it puts plainly: merchants may "Solicit or encourage the posting of content that does represent a genuine experience, without offering incentives to do so or attempting to influence the rating or the contents of the review". Asking is fine. Asking selectively is not. How to get 5-star Google reviews without breaking the rules has more on where that line sits.

The merchant rules under Rating Manipulation, read 6 September 2026. The two staff bullets sit under the on-premises rule.

What your customer has to do on their side

A Google review needs a Google account. Google is explicit: "Customers must be signed into a Google Account to leave a review. They can set one up with a non-Gmail email address." There is no anonymous review on Google. A willing customer who has never had an account faces a sign-up before they can help you, and a fair share of them stop there. That accounts for more silent failures than any broken link.

When someone taps your link they get the review box on your listing: a star selector, a text field and a Post button. Nothing is filled in for them, and nothing is filtered on the way through. A review with a sentence or two of text tells the next reader more than a bare five stars does, so it is fine to say what you would find useful, as long as you are not dictating it.

If a customer tells you they have no account and will not make one, take the answer. Point them somewhere else to leave feedback and move on. The review that never gets written costs you nothing. The customer you badger costs you more.

If you have more than one location

One Business Profile, one review link. There is no single link for a business with several sites, because the link points at a listing and every location has its own.

Open each profile in turn and repeat the copy step, then label them somewhere your team can read: location name, link, QR code file. The common failure is one link copied out of head office and pasted into every location's messages, which quietly parks every review on one listing and leaves the other profiles looking dead. If your sites are already asking in different ways with different links, how to get more Google reviews covers making the ask consistent across all of them.

When the Google review link does not work

It opens the wrong business

Almost always a duplicate or an unclaimed listing, which means you copied the link from a profile that is not the one customers find. Search your business name in an incognito window and see which listing Google shows. If two exist, that is a merge job before it is a link job.

The customer says they reviewed you and you cannot see it

The link is rarely the culprit. Reviews take time to appear, spam filters hold some back, and a recent profile merge or address change can hide a batch. Why a Google review is not showing up works through the causes in order.

The QR code will not scan

Usually size or contrast. As a rule of thumb, print it at least 2 cm square for something held in the hand, and considerably larger for a window or a counter where people stand back. Keep it dark on light, and leave the quiet border around it alone.

Nothing arrives at all

Before you blame the link, check that anyone is sending it. Tap your own link out of a real text message, on a real phone, and count the steps to a posted review. If the link is fine and the volume is still zero, the problem is the ask rather than the URL.

FAQ

Is there a Google review link generator? Google generates the link for you, inside your own Business Profile, at Read Reviews then Get more reviews. Third-party generators almost all build the Place ID URL described above, which Google does not document, so they can break without warning.

How do I share my Google review link? Copy it and paste it wherever you already talk to customers. Google's own panel will also send a review request for you by email, WhatsApp message or Facebook post.

Can a customer leave a Google review without a Google account? No. Google requires an account, though it does not have to be a Gmail address. A customer can create one against an email address they already use.

Can I offer a discount to customers who use the link? No. Google prohibits incentives in exchange for a review, and in the United States the FTC's 2024 rule makes incentives conditioned on a particular sentiment unlawful. Ask everyone, offer nothing.

Google reviews widget for WordPress: plugin or no plugin

Lachlan Fea — Sun, 06 Sep 2026 00:00:00 GMT

A Google reviews widget on WordPress comes in one of two forms: a plugin from the plugin directory, or one line of HTML pasted into a Custom HTML block. Both end in the same block on the same page, pulling the same reviews from the same profile. The plugin buys you a settings screen in wp-admin and costs you a dependency. The snippet costs one paste and leaves nothing to maintain. Which is right depends less on the reviews than on who edits your site, and on whether that site sits in a network.

Everything below was read against a primary source on 6 September 2026: WordPress's own documentation, three plugin directory listings, Elementor's help centre, Google's Places API reference and the FTC's consumer reviews rule. Install counts drift, so the ones quoted carry their date.

Plugin or snippet: the actual difference

	A plugin	One snippet
How it goes on	Plugins > Add New, activate, connect your profile	Paste into a Custom HTML block
Where the block can appear	Block, shortcode, widget area, page builder	Anywhere on the site that takes HTML
Who can put it there	An Administrator, on a single site	Anyone with the `unfiltered_html` capability
What you maintain	The plugin, plus whatever it depends on	Nothing on your side
Usual failure	Abandoned, or breaks on a WordPress release	The provider's script stops loading
If you leave WordPress	Rebuild the block	Same line, new site

The rule of thumb: if the reviews have to appear in eight places and the person adding them thinks in shortcodes, take the plugin. If one service page needs one block, take the snippet.

What a WordPress Google reviews plugin gives you

A plugin earns its keep three ways, and they are real ways. It fetches on a schedule, so new reviews turn up without you touching the page. It caches them in your database, so the page is not calling an external service on every visit. And it hands you a shortcode that drops the same block into a page, a widget area or a page builder.

The directory is where to look, not a vendor's landing page. These are the listings that own the search today. Widgets for Google Reviews by Trustindex has about 900,000 active installations, as of September 2026, and 4.9 stars from 2,631 reviews. Rich Showcase for Google Reviews by richplugins has about 100,000, at 4.9 from 1,617. Reviews Feed has about 100,000 too, and covers Yelp as well as Google.

Read the free tier before you assume it does the first of those three. Rich Showcase's own FAQ is unusually straight about it: "you can connect and display up to 10 Google reviews without any API key", but without one "the initial 10 reviews are loaded once and remain static until you manually reconnect the place". A free plugin is often a snapshot with a settings screen, not a feed.

Site Kit is not a reviews plugin

Site Kit by Google is the official Google plugin and sits on more than five million sites, which is why people assume it handles reviews. It connects Search Console, Analytics, AdSense, PageSpeed Insights, Tag Manager, Google Ads and a couple of newer modules. Not one of them is Google Business Profile, and not one displays a review.

What a Google reviews plugin for WordPress costs you

The plugins that refresh on their own do it with a Google Cloud project and a Places API key, which means a billing account in your name and a key you now own. Rich Showcase is explicit: "an API key is only needed if you want reviews to update automatically". A vendor account instead of a key is the same dependency with someone else's billing attached.

The number of reviews is another catch. Google's Places API reference states it plainly for the reviews field: "A maximum of 5 reviews can be returned." The older Place Details endpoint said the same thing in different words. So a plugin promising ten reviews or a hundred is not reading them all out of that field, and it is worth asking where the rest come from, because the Google Maps Platform terms restrict copying and storing user reviews. The parent guide on embedding Google reviews covers that ground in full.

Abandonment is the other risk. The directory prints Last updated and Tested up to on every listing for exactly this reason. A reviews plugin nobody has touched in two years is not a stable choice, it is a security liability sitting on your site so a layout looks tidy. Check those two fields on the day you install, not the star rating. And remember what you are installing: PHP that runs on every request, plus a stylesheet and a script.

How to add a Google reviews widget to WordPress without a plugin

Build the widget first. In your review service, connect the Google location, choose a layout, set the theme, copy the snippet.
Open the page in the block editor and click the Block Inserter. WordPress documents a shortcut worth learning: "You can also type /html and hit enter in a new paragraph block to add one quickly."
Click Edit HTML on the empty block and paste the snippet. It is normally one script tag with an id in it:
```
<script src="https://app.cloutly.com/add-widget-v2.js" data-widget="YOUR-WIDGET-ID" async></script>
```
That one is ours. Cloutly connects a Google location, gives you nine layouts to choose from, and hands back one snippet that works on WordPress, Webflow, Squarespace or any site that accepts an HTML snippet; the layouts are on the review widgets page. Whatever service you use, keep the async attribute, or the browser stops building your page while it fetches the widget.
Press Update, then open the published page in a private window. The editor preview is not proof.

WordPress's own demo of the block since 7.0. The CSS and JavaScript tabs are the tell: if you cannot see them, read the next section before you paste anything.

Get the layout and the colours right before you go near wp-admin.

The `unfiltered_html` trap, and why it bites franchises

This is where people lose an afternoon, and WordPress never tells you it has happened.

The Custom HTML block documentation sets it out: "Starting in WordPress 7.0, the Custom HTML block introduces separate editing panels for HTML, CSS, and JavaScript. The CSS and JavaScript panels are only available to users with the unfiltered_html capability." Without it, "WordPress will sanitize the block's content using the function wp_kses(), stripping disallowed tags such as <script> and <iframe>". You paste, you press Update, the snippet is gone, and no message appears.

Who has the capability, per the roles and capabilities documentation:

Role	Can paste a working script tag
Super Admin (Multisite)	Yes
Administrator	Yes on a single site. No on Multisite
Editor	Yes on a single site. No on Multisite
Author, Contributor, Subscriber	No

The Multisite row catches multi-location businesses, in WordPress's own words: "In WordPress Multisite, only Super Admins have the unfiltered_html capability." If your locations run as sites on one network, a manager who is an Administrator of their own site cannot paste a review snippet into it.

The plugin route does not rescue them either. The same capability table marks install_plugins as "yes (single site)" for an Administrator and "yes" only for a Super Admin, so on a network a location manager can neither install the plugin nor paste the snippet. Whoever runs the network does both, for everyone. Sort that out before you send fifteen managers a snippet and a click path.

Block editor, classic editor and page builders

The block is not called the same thing everywhere, and on one of these the permission rule is different again.

Block editor. The Custom HTML block, as above.

Widget areas. Since WordPress 5.8 the block-based widgets editor has brought blocks to Appearance > Widgets, so a footer or sidebar takes the same Custom HTML block. If the Classic Widgets plugin is installed to turn that off, you are back to the Text widget, which WordPress describes as "used to enter HTML, JavaScript, or just plain text".

Elementor. Use the HTML widget, the one with the </> icon. Elementor's documentation says "Inside the HTML Widget you can embed HTML, CSS, Shortcodes, and also include JS scripts", then adds a gate of its own: "access to the widget is restricted to admins. This can be changed in the Role Manager." That is Elementor's rule, sitting on top of WordPress's.

WPBakery. Its built-in element list carries Raw HTML and, beside it, a separate Raw JS. A script-tag snippet belongs in Raw HTML.

Why your Google reviews widget is blank in WordPress

Check these in order.

Start with the block. Open it again, and if the code is gone rather than broken, it is the capability rule above.

Next, a caching plugin holding the JavaScript. This is the common one, and it looks exactly like a broken widget. WP Rocket's Delay JavaScript Execution setting delays "the loading of all JavaScript files and inline scripts until there is a user interaction". LiteSpeed Cache's Delayed mode says the same in its own words: it "doesn't run the JS until it detects user activity, like a key click or mouse pointer movement". So the block stays empty until the visitor moves the mouse, and empty in every screenshot and speed test. Both plugins let you exclude one script. Exclude the widget's rather than turning the setting off site-wide.

The third check is simpler: you are looking at a cached page, or at the editor. Purge after you paste, then open the live URL in a private window. Preview proves nothing about a third-party script.

Where the block goes on a WordPress site

Nobody hesitates in a homepage footer, so proof there is decoration. Put the block under the booking button on a service page, and on each location page show that location's reviews rather than a feed blended across every site.

Then keep it current, because a review block ages in public in a way a paragraph of copy does not. Coastline Physio, a fictional two-clinic practice, could paste four good reviews under the Book now button on each clinic page and never touch it again. A year later that block argues for the other side, because the newest date on it still reads 2025. Sending the Google review link after each appointment keeps the dates moving.

If a second site runs on another platform, the block and the limits change: there are separate walkthroughs for Wix and for Squarespace, where a code block needs a Core plan before JavaScript runs at all.

FAQ

Can I embed Google reviews in WordPress without a plugin? Yes. A Custom HTML block takes the snippet, and that is the whole install. You need a service that holds the connection to your Google profile, and a role with the unfiltered_html capability.

Is there a free Google reviews widget for WordPress? Several, on the free tiers of directory plugins. Read what free means on each: it usually caps the reviews shown, keeps the vendor's badge on the block, and in at least one case stops updating until you reconnect the profile by hand.

Will a reviews plugin give me star ratings in Google? No. Google's review snippet documentation says that where the entity being reviewed controls the reviews about itself, its pages "are ineligible for star review feature", and the example it gives is an embedded third-party widget. Switching on your widget's review schema is still worth doing, because it puts the rating on the page in a form search engines can read. More on that in review schema markup.

Can I show only my five-star reviews? You can sort, and the FTC's questions and answers on its consumer reviews rule take the question directly: if your site orders reviews by rating with all the five-star ones on top, "the rule does not cover that situation". The same answer carries the sting: "organizing reviews in a way that makes it difficult for consumers to know about or find negative reviews could be an unfair or deceptive act or practice in violation of Section 5 of the FTC Act". None of this is legal advice. Filter by a rule you can say in one sentence, put that sentence near the block, and ask every customer rather than a screened few.

How many Google reviews do I need? The maths, worked through

Lachlan Fea — Sun, 06 Sep 2026 00:00:00 GMT

How many Google reviews do I need? Google publishes no minimum, so there is no official number to hit. The closest thing to an answer is consumer research: BrightLocal's Local Consumer Review Survey 2026 found that 47% of consumers will not use a business with fewer than 20 reviews, and 68% will only use a business rated four stars or higher. Twenty reviews at four stars is the floor. Everything past that is arithmetic: what it costs to move a rating, what one bad review costs, and how many months the climb takes at the rate you can actually collect.

The only thing Google publishes about review counts and local ranking, from Tips to improve your local ranking on Google. Screenshot taken 6 September 2026.

What is a good number of Google reviews?

There is no published minimum, from Google or anyone else. What exists is survey evidence about where consumers stop looking. These figures come from BrightLocal's Local Consumer Review Survey 2026, published 11 February 2026 from a sample of 1,002 US consumers.

47% will not use a business with fewer than 20 reviews. That is the closest thing to a floor anyone has measured.
68% will only use a business rated four stars or higher, up from 55% a year earlier.
31% now require 4.5 stars or higher, up from 17% a year earlier.

Twenty reviews gets you past the first filter. Four stars gets you past the second. The bar that is moving is the third: the group demanding 4.5 nearly doubled in a year.

Two cautions before you write a number on the whiteboard. That sample is US consumers, so read it as a direction rather than a local benchmark. And a count means little on its own. Twenty reviews is plenty in a category where your competitors hold 25, and nowhere near enough in one where they hold 300.

How many 5-star reviews do you need to raise your rating?

One line of algebra.

five-star reviews needed = current count x (target rating - current rating) / (5 - target rating)

Ridgeway Plumbing sits at 4.2 stars from 90 reviews and wants 4.5.

90 x (4.5 - 4.2) / (5 - 4.5)
= 90 x 0.3 / 0.5
= 54 five-star reviews

Check it. Ninety reviews at 4.2 is 378 stars. Add 54 fives and you have 648 stars across 144 reviews, which is 4.5 exactly.

The Google review calculator runs that sum, and the two below it, on your own numbers.

Now Ridgeway wants 4.7, starting from the 4.5 it has just reached, with 144 reviews on the board.

144 x (4.7 - 4.5) / (5 - 4.7)
= 144 x 0.2 / 0.3
= 96 five-star reviews

Fifty-four reviews bought the first three tenths of a star. The next two tenths cost 96. That is the shape of the whole thing: every tenth costs more than the one before it, because the target sits closer to 5.0 and each new review has less room to pull the average up. Going straight from 4.2 to 4.7 takes 150, which is the same answer by a shorter route.

Here is the table at a round 100 reviews, so you can scale it to your own count.

Your rating now, from 100 reviews	Five-star reviews to reach 4.5	To reach 4.7
3.8	140	300
4.0	100	234
4.2	60	167
4.4	20	100
4.5	already there	67
4.6	already there	34

The number scales with what you already hold. Double your review count and you double the reviews needed for the same climb, because the existing average has twice the weight to it. A young profile is cheap to move and cheap to wreck. One sitting on 800 reviews barely notices a bad month, and barely notices a good one either.

The catch: not every review you get will be five stars

The formula above assumes every new review is a five. Almost no business runs at a perfect five on new reviews, and planning on it will put you months past your date.

The honest version divides by the average of the reviews you are actually collecting, not by 5.

reviews needed = current count x (target - current) / (new-review average - target)

Ridgeway again, at 4.2 from 90 reviews, aiming for 4.5, but with recent reviews averaging 4.8 rather than 5.0.

90 x 0.3 / (4.8 - 4.5)
= 90 x 0.3 / 0.3
= 90 reviews

Ninety, not fifty-four. Assuming every review is a five made the job look 40% smaller than it is. Work out your own new-review average from the last three months before you use either formula, and note the hard limit inside the arithmetic: if the reviews you collect average below your target, no volume gets you there. A business collecting 4.4s cannot reach 4.5 by collecting more of them.

What one bad review costs, in five-star reviews

To hold an average of T after a one-star review, you need enough fives to cover the gap it opened.

five-star reviews to recover = (T - 1) / (5 - T)

Your average	Fives to absorb one 1-star review	To absorb one 2-star review
4.0	3	2
4.5	7	5
4.7	13	9
4.8	19	14

Look at what is missing from that table: your review count. It is not in the formula at all. One one-star review costs a business with 40 reviews the same 13 fives as a business with 4,000, if both are holding 4.7. The difference is that the business collecting steadily earns those 13 back in a fortnight, and the one that stopped asking in 2023 never earns them back.

That is the real argument for a steady rate. It does not prevent the bad review. It repairs the average without anyone having to do anything special.

How many reviews it takes to get to 5 stars

Once a single review below five lands, a true 5.0 average is gone for good. What you can hold is a displayed 5.0. Google shows a rating to one decimal place, so a true average of 4.95 or higher shows as 5.0 if Google rounds rather than truncates, which is what it appears to do on live profiles. Google documents neither behaviour, so treat the exact cutover as an observation rather than a policy.

Run it. With one one-star review on the profile and every other review a five, you need 79 fives to bring the true average back to 4.95. At 78 you are on 4.949.

That does not make a perfect score a target. Northwestern University's Medill Spiegel Research Center found that purchase likelihood peaks in the 4.0 to 4.7 range and falls above it, because a perfect score reads as unlikely (How Online Reviews Influence Sales, 2017; dated, and still the only published product-level data on the point). A 5.0 from 22 reviews invites a question that a 4.7 from 300 never gets asked.

How many Google reviews do I need to beat the businesses beside me?

There is no absolute number here either, and there cannot be, because the map pack is a comparison and not a test you pass.

Google's own wording is the place to start. Its help page on local ranking says local results are "mainly based on relevance, distance, and popularity". The third factor is headed Prominence, and under it: "This factor's also based on info like how many websites link to your business and how many reviews you have. More reviews and positive ratings can help your business's local ranking." That is the whole of what Google publishes on the subject.

Reviews are named there, so the count is doing something. But they sit alongside relevance and distance, neither of which a review can touch. You cannot review your way into a pack you are five kilometres too far from.

So the number worth knowing is not a national average. It is the review counts of the three businesses Google is showing today for the search that matters to you. Search your main service and your suburb from a phone that is actually in the area, write down each result's rating and count, and put your own beside them. That tells you whether you are 30 reviews behind or 300, and those are different plans. Whether Google reviews affect your ranking works through what reviews can and cannot move.

Does it matter how recent the reviews are?

Yes, and this is where a large count quietly stops working.

BrightLocal's Local Consumer Review Survey 2026 found that 74% of consumers want reviews written in the last three months, and 44% name "posted within the last month" among the things that make a review count. On the ranking side, recency of reviews was scored 11th out of 187 factors by the local search experts surveyed for Whitespark's 2026 Local Search Ranking Factors, published 6 November 2025 from 47 contributors. That is practitioner opinion rather than anything Google has confirmed, and it sits high enough on the list to act on.

A review count is a stock. Recency is a flow, and only the flow tells a customer what you are like now. Two profiles both showing 4.6 from 200 reviews are not the same profile if one has eight reviews from the last month and the other has nothing since 2023. The second reads as a business that used to be good, and nothing in a total fixes that.

How many reviews a month can you expect?

Your monthly review rate turns a target into a date. It is the part calculators on this topic leave out.

reviews per month = asks sent per month x the share of asks that end in a review

Asks sent per month is capped by customers served. Finish 120 jobs a month, ask every one of them once, and your ceiling is 120 asks. Asking the same customer twice does not raise the ceiling, it just annoys them. Raising it means asking the people you currently miss: the walk-ins whose details nobody took, the second location that never got set up, the jobs that finished on a weekend.

The share that ends in a review is yours to find out, not to borrow. Count the reviews that arrived last month, divide by the asks you sent last month, and repeat for three months before you trust the answer. Do not take a benchmark off a vendor's page, this one included. Any percentage published without your channel and your timing behind it will be wrong for you, usually in the flattering direction.

Multiply the two and you have the number that sets your date, and the fastest gains are almost always on the first half. How to get more Google reviews covers the asks themselves, review request templates has the wording for text and email, and your Google review link decides how many people who meant to review you actually finish.

Consistency across a whole customer list depends on the process. Cloutly's review campaigns handle it this way: a repeat customer is one contact, asked once, rather than one ask per transaction; anyone who reviewed you in the last 90 days is skipped; opted-out contacts are never enrolled; and follow-ups run on the day spacing you set and stop when the review lands.

How long the climb takes

Ridgeway needs 54 five-star reviews to get from 4.2 to 4.5, and 150 to get to 4.7. Divide by the monthly rate.

Reviews a month	Months to 4.5 (54 needed)	Months to 4.7 (150 needed)
5	11	30
10	6	15
20	3	8
40	2	4

The rate matters more than the target. Going from 5 reviews a month to 20 does more for Ridgeway than dropping its ambition from 4.7 to 4.5 does. Every row here is a multi-month project, so a week of hard asking will not get you there, and a burst is worth less than a habit on the ranking side too: the same Whitespark contributors put "sustained influx of reviews over time (rather than bursts)" 14th of the 187.

Use both figures: the count that gets you to the rating and the monthly rate that holds it. A business that hits 4.5 and stops asking drifts back down, because the reviews that arrive unprompted skew towards people with something to complain about.

What you cannot do to get there faster

The arithmetic makes the shortcuts look tempting. The two obvious ones are against the rules.

Asking only the customers you expect to be happy. Google's prohibited and restricted content policy says merchants may not "discourage or prohibit negative reviews, or selectively solicit positive reviews from customers". That covers the survey-first pattern, where a customer rates you privately and only the satisfied ones are shown the review link. It is called review gating, several vendors still sell it, and it is a breach. Cloutly has not gated since 2021 and does not offer it. More on review gating and what to do instead.

Paying for reviews, in money or in kind. Google's page on getting more reviews is blunt: "Offering incentives, like free or discounted goods or services, in exchange for customers to post reviews, change reviews, or remove negative reviews is considered fake & misleading content and is strictly prohibited." In the United States it is also law. The FTC's Rule on the Use of Consumer Reviews and Testimonials went into effect on 21 October 2024 and authorises courts to impose civil penalties for knowing violations. Bought reviews also get removed in volume, so you pay for a number that then disappears.

What is left is asking everyone, once, at the right moment. What a five-star review request may and may not say covers where the line sits in the wording.

Frequently asked questions

How many Google reviews do I need?

Google publishes no minimum. Consumer research puts the practical floor at about 20: BrightLocal's Local Consumer Review Survey 2026, from 1,002 US consumers, found 47% will not use a business with fewer than 20 reviews and 68% will only use one rated four stars or higher. Past that, what matters is how you compare with the businesses shown beside you in the map pack.

How many 5-star reviews do I need to raise my rating?

Multiply your current review count by the gap you want to close, then divide by the distance from your target to 5. From 4.2 with 90 reviews, reaching 4.5 takes 54 five-star reviews and reaching 4.7 takes 150. If the reviews you collect average below 5, divide by the gap from that average to your target instead. On the worked example above, an average of 4.8 rather than 5.0 turns 54 into 90.

How many reviews does it take to recover from a one-star review?

At a 4.5 average it takes 7 five-star reviews, at 4.7 it takes 13, and at 4.8 it takes 19. Your total review count does not change that figure. What it changes is how quickly you collect them.

Is a 5.0 rating the goal?

No. Once one review below five lands, a true 5.0 is gone, and a displayed 5.0 only needs 4.95, which after a single one-star review takes 79 five-star reviews to restore. Northwestern's Medill Spiegel Research Center found purchase likelihood peaks between 4.0 and 4.7 and falls above it, because a perfect score reads as unlikely. Somewhere between 4.5 and 4.8, with recent reviews and replies under them, is the profile that actually converts.

How to monitor AI search visibility for your business

Lachlan Fea — Sun, 06 Sep 2026 00:00:00 GMT

To monitor AI search visibility, run a fixed set of prompts through the same assistants on the same day each month, signed out, with your suburb written into the question, and record whether you were named, which rivals were named and what the answer cited. The measurement is the log, not any one answer. A screenshot of one good reply proves about as much as one good day of trading.

For the wider measurement, see how AI search decides which local businesses get named. The guide to does ChatGPT recommend businesses like yours covers where each assistant's local answers come from and what the vendors document.

Five shortlists from eight prompts

I ran the eight prompts below through Perplexity, signed out and with no account attached, on the morning of 6 September 2026. Eight physiotherapy prompts, one Sydney suburb, six minutes end to end. The clinics are not customers of ours and did not ask to be in a blog post, so they are not named here.

"Best physio in [suburb]" came back with ten clinics and their star ratings. "Top rated physio near [the local shopping centre]" came back with a different set. One clinic appeared in both. Nine did not.

The Saturday-opening prompt returned roughly the first list again, with nothing to suggest the constraint had filtered anybody out. "Who do I see for shoulder pain in [suburb]" did not lead with a physiotherapist at all: it told me to start with a GP, then listed orthopaedic surgeons. "Physio in [suburb] that bulk bills" produced a third set headed by a medical centre and a clinic whose trading name contains the words "bulk billing", and none of the highly rated clinics from the first prompt survived into it.

Then two prompts about one named clinic. "Is [clinic] any good" answered warmly and in detail, naming individual practitioners, out of a third-party aggregator page rather than the clinic's own Google profile. "What do people say about [clinic]", asked two minutes later, said user reviews were not in the results and answered off the clinic's own website.

Five shortlists from eight prompts. One answer tells you what one phrasing returned once. It does not tell you whether you are a candidate. For how widely this is happening rather than what happened here, AI search statistics carries a source on every figure.

Why the answer moves between runs

Four things change the answer, and each one is documented by the company that built the assistant.

Memory rewrites the question before it is asked. OpenAI's help centre is direct about it: "If memory is enabled, ChatGPT may use relevant saved memories when rewriting a search query", and its own example is a user who has mentioned being vegan and living in San Francisco getting a search for "good vegan restaurants San Francisco" (Searching the web with ChatGPT). All five surfaces have a version of it. Gemini personalises "by referencing your chats in Gemini Apps Activity", Perplexity's memory article says it may draw on stored memories and past searches, and AI Mode's Personal Intelligence "references previous searches and activity saved in your Search Services History". Test inside your logged-in account and you are measuring your account, not what a stranger sees.

Location decides the shortlist. ChatGPT "may use an approximate location based on your IP address to provide relevant local results", and device location sharing "is optional and off by default". Google is blunter about Gemini: "Location data is always collected if you use Gemini Apps so that they can provide you with a response that is relevant to your query", and by default that means the general area from your IP address or the Home or Work addresses in your Google Account. Google Search estimates it from your device, your saved addresses, your past activity and your IP (manage your location on Google). Run the test on the shop wi-fi and you have measured your own front door, which is the one place your customers are not standing when they ask.

Phrasing is not one thing. Google says AI Mode "uses a 'query fan-out' technique, dividing your question into subtopics and searching for each one simultaneously across multiple data sources", and its advice to searchers on the same page is "Ask multiple versions of your question to get the best answers" (AI Mode in Google Search). When the company running the system tells people one phrasing is not enough, one phrasing is not a measurement either.

The model underneath changes too. A Perplexity Pro subscription "includes all our latest and most powerful AI models", and in AI Mode a signed-in user can pick Pro from the menu and get Gemini 3 Pro instead of the Fast model on the same question. None of this is deterministic. A re-ask can differ, so one miss is not a verdict and one hit is not a rank.

The eight prompts a customer would actually type

Write eight prompts once, then stop changing the sentences. Change the values inside them when a location or a service changes. Never change the shape, or you lose the ability to compare one month to the next. They fall into five kinds of question, and you want all five.

Plain discovery, with no business name in it. This is the one that tells you whether you are a candidate at all.

best {category} in {suburb}
top rated {category} near {landmark}

Constrained discovery, with the detail people care about: opening hours, parking, a health fund, a brand you stock, whether you see children. This tests whether anything on the open web says that about you.

{category} in {suburb} open on a {day}
{category} in {suburb} that {constraint}

Problem first, because customers rarely search the category name. They search the thing that is wrong.

who do I see for {problem you solve} in {suburb}

Named, which is what the assistant says when a friend has mentioned you and someone is checking.

is {your business} any good
what do people say about {your business}

Comparison, the one that decides a booking.

{your business} or {a rival you actually lose to}, for {the job}

These overlap with the shorter ten-minute test in does ChatGPT recommend businesses like yours on purpose. That post asks the question once. This one is built to be run again in October, and again in November, against the same eight sentences.

With more than one location, run the discovery prompts per location rather than once for the brand. A flagship being named tells you nothing about the suburban site, and the suburban site is usually where the gap is.

How to monitor AI search visibility across ChatGPT, Gemini, Perplexity, Copilot and Google AI Mode

Same day each month, fresh chat for every prompt, and the location written into the wording every time even when the assistant already knows where you are: OpenAI's own fix for local results showing the wrong area is to "include your city, neighborhood, or postal code in your question". Set the assistants up first, because each vendor documents a different control.

Assistant	The documented way to run it clean	How the location gets decided
ChatGPT	Web search works signed out: "People who are not signed in can also use web search." Signed in, use a Temporary Chat, which OpenAI says "do not use existing memories or create new memories". Memory sits in Settings, under Personalization (Memory FAQ)	Approximate, from your IP address. Device location sharing "is optional and off by default"
Gemini	You can use Gemini signed out, and Google says your data is then "not associated with your Google account". Signed in, start a Temporary Chat, and "to stop Gemini from personalizing your experience using info from a past chat, delete that chat"	"Location data is always collected." By default that is the general area from your IP address, or the Home or Work addresses saved in your Google Account
Perplexity	Incognito mode. Perplexity's help centre: "Memory and previous searches are always off when using incognito mode, and questions asked in incognito are not retained or used in memory ever." The toggles are in Settings, under Memory	Not documented in Perplexity's help centre. Name the suburb in the prompt
Copilot	Open Settings, select Personalization, and move the Saved memories toggle off. Microsoft's line for what you are switching off: Copilot "can offer you tailored experiences by remembering key details and preferences from your conversations" (privacy controls)	Not documented on Microsoft's Copilot privacy pages. Name the suburb in the prompt
Google AI Mode	At google.com/ai. Google says that without history and personalised recommendations enabled "you can still access AI Mode but can't pick up where you left off with previous searches"	Google estimates it from your device, your saved home and work addresses, your past activity and your IP address

Run the prompts this way.

Open a fresh chat or a new incognito thread for each prompt. No follow-ups in the same thread: the first answer is now context for the second.
Paste the prompt exactly as written in your list.
Fill in the seven columns below before you move on. Doing it afterwards from memory defeats the point.
Open the sources. All five assistants show what they read, and that list is the most useful thing on the screen.
Do not re-ask a prompt that missed until you like the answer. Log the miss.

The asking is quick. Every answer in my run landed in well under a minute. Writing down what came back takes longer, and it is the part that is worth anything.

The log: seven columns, every month

A spreadsheet, a notes file, anything you will still have in a year. Seven columns, the same ones as the shorter test in the ChatGPT piece so the two are comparable.

Date	Assistant	Prompt	Named?	Rivals named	Sources cited	Facts correct?
2026-09-06	ChatGPT	best physio in {suburb}	yes, third of four	Harbourline Physio, Ridge Sports Clinic	Business Profile, a "best physios in {suburb}" roundup, HealthEngine	phone number wrong
2026-09-06	Gemini	who do I see for shoulder pain in {suburb}	no	Harbourline Physio, Ridge Sports Clinic, a GP clinic	Google Maps
2026-09-06	Perplexity	is Coastline Physio any good	yes	none	the practice website, two directory listings	yes

Coastline Physio and its two rivals are invented, so nobody reads those rows as a case study. The last column earns its place: OpenAI warns that "search results and citations can be incomplete, outdated, or incorrect", and an assistant reading a stale phone number off a directory is a booking you never hear about.

Three months in, the log answers questions a screenshot never can. Are you named more often than in July, or only on the named prompts where the customer already knew you existed? Is the same rival in every assistant, or only in Gemini? Is the same directory cited in six answers out of eight? That last one is the work list.

How often should you check AI visibility?

Monthly. The tool vendors writing about this recommend daily scans and weekly audits, which makes sense when you are tracking a national brand across hundreds of prompts and can average the noise away. With eight prompts and one business, daily checking measures the noise: my own run threw up five shortlists inside six minutes without a thing changing about the businesses in them. Pick a day, put it in the calendar, and treat a month where you did the run and learned nothing as a good month. The value is in the series.

What to do when the answer does not name you

A miss is a starting point, and the log usually tells you which of three things went wrong.

You were not in the sources. If the same roundup, directory or association page is cited every month and you are not on it, that is a job with a name and a deadline. It is the most common finding and the easiest to fix. In my run, the warmest answer about a named clinic came off an aggregator page the clinic almost certainly never thinks about.

Your profile did not answer the question. The constrained prompts are the diagnostic. If "physio in {suburb} that bulk bills" names three rivals and not you, and you do bulk bill, the problem is that nothing public says so. Finishing your Google Business Profile is the first hour of work, every time.

You had nothing worth reading. Google's local ranking guidance says "more reviews and positive ratings can help your business's local ranking", and its Grounding with Google Maps documentation says a place question is answered "based on Google user reviews and other Maps data". A profile with 30 one-line reviews from 2023 gives an assistant nothing to match against a specific question. Getting more Google reviews steadily, and replying to the ones you get, is the slow half and the half that compounds. Whether reviews move your local ranking is the longer version of that argument.

One thing not to do: filter who you ask. Google's contribution policies stop merchants who "discourage or prohibit negative reviews, or selectively solicit positive reviews from customers", and a screened profile does not describe your business anyway, so it gives an assistant less to work with rather than more. Ask everyone or ask nobody.

None of this buys a mention. OpenAI's own wording is "Placement is not guaranteed", and no vendor publishes a formula. What the work buys is candidacy, and the full list of what a local business can change is the parent piece to this one.

Where AI visibility tools fit

Tools do this at a scale a person cannot. Fifty prompts across twenty locations and five assistants is thousands of runs a month, and it has to be automated or it will not happen. What a tool cannot do is make the system underneath deterministic. It is still sampling, one sample at a time, and any product reporting a stable rank is presenting a sample as a fact. Read whatever you buy for how it describes its own sampling. With one or two locations, the log above is the same measurement done by hand.

Cloutly's AI search visibility asks ChatGPT, Gemini and Perplexity discovery questions such as "best {category} in {locality}" once a month and records whether each location was named and which rivals were named; it does not sample Copilot or Google AI Mode, and its results are a point-in-time sample of a non-deterministic system, one sample each, so a re-ask can differ.

FAQ

Should I test signed in or signed out? Signed out where the assistant allows it, because a signed-in account carries memory and saved locations into the query. OpenAI documents that web search works for people who are not signed in, and Google documents signed-out use of Gemini. Where you must be signed in, use the documented private mode: a Temporary Chat in ChatGPT or Gemini, incognito in Perplexity.

Why did the same prompt give me a different answer an hour later? Because these systems are not deterministic, and because the web underneath them changed. That is the reason for the log, and the reason for monthly rather than daily. If you got two answers, log both.

Is this the same thing as tracking my Google ranking? No. Your local ranking is one input the assistants read, not the output they produce, and an assistant can name a business that is nowhere near the map pack. Track both, separately.

Review monitoring: how to catch a review the day it lands

Lachlan Fea — Sun, 06 Sep 2026 00:00:00 GMT

Review monitoring is knowing a review landed, on any profile, without going to look for it. You set it up by switching on the notification each site already offers, adding a standing check for the sites that send nothing, and deciding in advance who acts when one arrives. For a single location with two or three profiles, that is an afternoon of work.

Verified 6 September 2026 against Google's help pages on managing your notifications, managing customer reviews, duplicate profiles and creating a Google Alert, plus the Google Alerts options panel itself; Yelp's notification settings article; Tripadvisor's guide to Management Responses; Facebook's pages on seeing your Page's recommendations and turning Recommendations on or off; and Meta's pages on business notifications and ratings and reviews in Meta Business Suite. Quotes are the platforms' own words.

The five notification groups on a Google Business Profile, from Manage your notifications. Reviews sit under Customer activity. Screenshot taken 6 September 2026.

What review monitoring is, and what it is not

Online review monitoring is the same job with a longer name. A review tracker is software that does it for you. Whatever you call it, the job is the same: get a review in front of someone while they can still do something about it.

It is not responding, and it is not asking. Monitoring is one of the four jobs in review management, and it sets the speed limit for the other three. A reply written eleven days late is a reply nobody reads.

Turn on what each site already sends you

Start with the free notifications. They cover most of what arrives, but each setting lives somewhere different and each has a hole worth knowing about before you rely on it.

Google Business Profile

Google's notification settings sit on the profile itself. From Google Search, open your Business Profile, select More, then Notifications, find the notification you want and turn it on or off beside it. In the Google Maps app the path is different: tap Business at the bottom right, then Notifications at the top right.

The Manage your notifications page sorts them into five groups: Account updates, Features and tips, Customer activity, Business info alerts, and Bookings and requests. Reviews sit under Customer activity, which Google describes as "Alerts when customers leave new reviews or add photos". Switch that one on and Google will tell you a review arrived. Read the caveat printed on the same page while you are there: "Even if you turn off some notifications, you may still get important updates from Google." Turning things off is less final than it looks.

Then there are three gaps, and none of them is obvious from the settings screen.

The settings are per profile. Ten locations means ten passes, ten chances to miss one, and no screen anywhere that shows you which profiles you have already done.

Notifications announce arrivals, not edits. Google's review help page says a customer "can still change their review after reading your reply", and that "if they change their review, the date on their review will change to show when the latest update was made". A four star quietly rewritten down to one star appears as a fresh date on something you read a fortnight ago and stopped watching.

And a review on a profile you do not manage never reaches you at all. Duplicate and auto-created profiles are common, and Google's duplicate profiles page warns that when two are merged "their reviews are combined, but replies to reviews may be lost". Finding the duplicate late costs you the replies you already wrote.

Facebook

On a Facebook Page they are not called reviews. They are Recommendations, and they live on the Reviews tab at the top of the Page. Facebook's help page gives the path plainly: click your profile photo, click See all profiles, switch into the Page, then "click Reviews at the top of your Page".

Before you monitor anything, check there is something to monitor. Recommendations can be switched off for a Page entirely, under Settings and privacy, then Settings, then Page and tagging, then the "Allow others to view and leave reviews on your Page?" toggle. Facebook's own wording is that turning Recommendations off "will disable Recommendations and remove the rating and reviews from your Page". A Page that has looked quiet for a year is sometimes a Page with that toggle off.

Facebook is the one platform here with no documented review alert. Meta sorts business notifications into three categories, Accounts, Ads and Pages, and describes the Pages group as covering "interactions on your business page, like comments and likes". Recommendations are not named in it. Meta Business Suite does have a Ratings and reviews tool under All tools, but Meta's page for it says those ratings come from customers who interacted with your ads, which is a different thing from a recommendation left on your Page. Until Meta documents an alert for the second one, treat Facebook as a profile you open on a schedule rather than one that chases you.

Yelp

Yelp does email owners, and the setting lives on the website only. From your Yelp for Business account, open the Language & Notifications page, tick the notifications you want, choose an email language, and click Save Settings.

The line worth reading twice is Yelp's own: "Please note you can't change your email notifications from the Yelp for Business app." The app carries separate push switches, under More then Notification Settings, and Yelp attaches a warning to those steps: "If you have access to multiple business pages, you'll need to follow the steps below for each business page location." Same trap as Google, different building.

Yelp's mail comes from no-reply@yelp.com, and the first item on Yelp's own troubleshooting list is to search every folder, Spam and Trash included, for messages from that address. Do that before you conclude Yelp has gone quiet.

Tripadvisor

Tripadvisor's owner email is opt-in and it is buried. Click your profile icon at the top right of the Tripadvisor homepage, select Account info, hover over Settings and click Subscriptions, then on the Emails for Owners tab make sure Subscribed is selected next to Reviews & Questions.

Tripadvisor says the subscription "will help you monitor reviews as they come in", which is the closest any of these four gets to describing monitoring as a job.

Replying happens in the free Management Center. Claim the property at tripadvisor.com/Owners, reach the centre through your profile icon and My Business, then use the Respond to Reviews card. Reviews there "can be filtered by response status, bubble rating, date and language", and the response-status filter is the most useful monitoring view on the site: a standing list of everything you have not answered.

The gap here is on the way out rather than the way in. Your reply is not live when you press submit. The status becomes "Response Pending", and Tripadvisor says "the majority of Management Responses will be reviewed and posted within a few business days". You cannot edit a response once it is up, only delete it and submit a new one. Build that delay into anything you promise a customer on the phone.

Google Alerts watches your name, not your reviews

Set an alert for the business name, and a second for the name plus the word review. Two minutes, and worth having, as long as you know what it is.

Google's Create an alert page is precise about the scope: you "can get emails when new results for a topic show up in Google Search". New results means pages entering the search index. A review posted on your Google Business Profile is not a new page in the index, so no alert will tell you it landed.

What alerts do catch is everything happening away from your own profiles: a forum thread, a local news mention, a complaint site, a directory that copied your listing and started collecting reviews of its own. Anything that arrives claiming a review landed is worth checking against the profile itself, because the negative review email scam is built on that message.

Click Show options before you create one. How often offers As-it-happens, At most once a day, and At most once a week, and it defaults to once a day. For a business name, leave it there. As-it-happens turns one busy news day into twenty emails, and an alert you have filtered into a folder is an alert you have switched off.

The weekly check, once you have more than one location

Notifications thin out as profiles multiply, so a group needs a standing check as well. Fifteen minutes on the same morning each week covers it.

Open the unanswered view on every site that has one: Tripadvisor's response-status filter, and your Google reviews list sorted newest first.
Write down the count of new reviews per location. The count is the point. A location that got none is a finding, and it vanishes inside a group total.
Look at the reviews you have already replied to for changed dates. An edited Google review carries the date of its latest update and announces nothing.
Once a month, search your own business name in Google Maps for every suburb you trade in, looking for duplicate or unclaimed profiles quietly collecting reviews.
Confirm the Facebook Reviews tab is still switched on, and that the Yelp notification address still belongs to somebody who works there. Both fail silently.
Send each location's new reviews to the person who was there. Head office cannot write the reply that names the real Tuesday.

Once that check is running, read the reviews in a batch to count recurring themes by location and decide what needs changing.

Where this stops working is arithmetic rather than discipline. Drayhill Dental runs six clinics, each with Google, Facebook and a booking platform. That is eighteen profiles, and at two minutes each it is a thirty-six minute Monday, every Monday, which is the first thing dropped in a week that goes wrong. Coastline Physio, one site and three profiles, will still be doing this by hand in five years and will be fine.

When a review monitoring tool earns its place

A tool starts to make sense when any of these is true:

More than one location.
More than about three profiles collecting reviews.
Reviews arriving faster than anyone checks, so replies go out days late.
More than one person needing to see the same review, which is where forwarded email starts to fail.

Below that, a tool is a paid substitute for a habit, and the habit is not hard.

The promise every tool makes is all your reviews in one place, and that really is the whole of it: one list instead of a tab per profile, a count per location, and a record of who replied and when. Cloutly does that across 39 review sites: every location in one inbox, filterable down to one, and new reviews appear on their own.

Be sceptical of two things while you shop. No tool makes a review arrive sooner than the site publishes it, so treat any promise built on speed as marketing. And walk away from any product offering to show your review link only to customers who rate you well first. That is review gating, and Google's Maps content policy tells merchants not to "Discourage or prohibit negative reviews, or selectively solicit positive reviews from customers".

The first hour after a bad review

Monitoring only pays off if something happens next.

Read it twice, then check it. Find the date, the service and the name, and look them up in your booking system before you accept the account as written or dispute it.
Decide whether it breaks the site's rules. Most bad reviews do not, and the test is narrower than owners expect: see how to remove a Google review. Report it if it qualifies, then carry on as though it will stay, because most reports fail.
Reply for the next reader, not the reviewer. The person who wrote it has decided. The next forty people reading your profile have not. Worked replies are in our 1-star review response examples, and the same principle covers the good ones in our review response examples.
Do not send it in the first ten minutes. An hour is fine. A day is fine. A fortnight is not.
Tell the location, then log the reason. One review about the wait is a bad Tuesday. Three in a month about the wait is an operations item, and that is the return on monitoring at all.

One thing that is not a monitoring failure: a review a customer swears they left that you cannot find. Google holds, delays and drops reviews for reasons of its own, listed in Google review not showing up.

Frequently asked questions

Does Google email you when someone leaves a review?

It can. Review alerts sit under Customer activity in the notification settings on your Business Profile, reached through Google Search or the Business tab in the Maps app, and they cover new reviews and new photos. The setting is per profile, so it has to be switched on for each location you manage.

What is a review tracker?

A review tracker is software that collects reviews from the sites your business appears on, puts them in one list, and records which ones have been answered. Review tracking, review monitoring and online review monitoring all describe the same job; the wording varies by vendor.

How do you monitor reviews across multiple locations?

By hand, you turn on each site's notification for each location, then run one weekly check that counts new reviews per location and lists everything unanswered. That holds to roughly ten or fifteen profiles. Past that most groups move to software, because a per-location count stops being visible in a shared inbox.

Can you monitor online reviews for free?

For a single location, yes. Google, Yelp and Tripadvisor all offer free owner notifications, Facebook has a Reviews tab you can check, and Google Alerts covers mentions away from your profiles. What free will not give you is one list, a count per location, or a record of who replied.

Do reviews affect what AI assistants say about your business?

Your public profiles and the reviews on them are part of what an assistant has to work with when someone asks it for a business like yours, so what the assistants say is worth checking alongside what the review sites show. That is a separate check from a review notification, and it is covered in AI search for local businesses.

Negative review email scam: how to tell a real notification from a fake

Lachlan Fea — Sun, 06 Sep 2026 00:00:00 GMT

A negative review email scam is a message that looks like a notification from a review site and is not one. It arrives by email or text, says a customer has left you a bad review, and puts a link in front of you. Two sorts of people send them: phishers who want the password to your Google or Facebook account, and sellers who want to pitch you a listing or a "reputation repair" service for a review that was never there. You can settle it in under a minute, and you do not need the link to do it. Open your profile yourself and look.

Verified 6 September 2026 against Yelp's page on scams impersonating Yelp, Tripadvisor's equivalent, Meta's phishing page, Google's help pages on fraudulent calls and texts, protecting your Business Profile, reporting phishing email and review extortion, and the FTC's Scams and Your Small Business. None of it is legal advice.

The six domains Meta publishes on Protect yourself from phishing on Facebook. Anything outside that list is not from Meta. Screenshot taken 6 September 2026.

What the negative review email scam actually is

There is no single sender behind these. The message is a template, and it works because it lands on the one thing an owner will open at 11pm without thinking. They come in two shapes.

Phishing. The message says you have a new one-star review and asks you to sign in to read it or reply to it. The link goes to a page built to look like a Google, Facebook or Yelp login. What the sender wants is the password, and behind the password the Business Profile or the Page. Google's version of the warning is short: "Beware of phone calls, e-mails, or text messages from people who offer to help with your Business Profile in exchange for money", and "Google will never ask for One Time Password (OTP) or Personal Identification Number (PIN)."

Lead generation dressed as a notification. The message says you have a negative review or a broken listing, and offers to fix it, remove it, or upgrade you to a paid directory profile. Often the directory is one you have never heard of, with a name that borrows a familiar one. The FTC names the end of that funnel: "Scammers try to fool you into paying for nonexistent advertising or a listing in a phony business directory." Google files the same thing under the scams that trade on its brand, as Google Maps/SEO Fake Invoices and the Google Top Placement/SEO Scam.

Both share a tell that has nothing to do with the wording. A real notification describes something you can go and verify on the platform in ten seconds. With a fake, the link is meant to be the only way you can check.

How to tell a real review notification from a fake

Start with what each platform publishes about itself, because that is the only sender information you can lean on. Three of the four publish a domain rule. Google does not publish an allow-list of the addresses its Business Profile mail comes from, so for Google the answer is always the profile rather than the headers.

Platform	What it publishes	The check that settles it
Google	No list of legitimate sender addresses. Google says it "will never ask you for private or sensitive information" and "will never try to convince you to pay to maintain your Business Profile"	Open your Business Profile from Google Search or Maps, signed in, and select Read reviews
Facebook and Instagram	Meta says correspondence comes only from fb.com, facebook.com, facebookmail.com, instagram.com, meta.com or metamail.com, or subdomains of those	Open the Page and look under Reviews or Recommendations
Yelp	"Legitimate Yelp links will begin with yelp.com, biz.yelp.com, business.yelp.com, or include our country-specific domains"	Sign in at biz.yelp.com by typing the address yourself
Tripadvisor	"Legitimate Tripadvisor links will begin with tripadvisor.com, or include our country-specific domains like tripadvisor.com.br or tripadvisor.co.uk"	Open the Management Center and the Reviews tab

A domain rule is weaker than it looks, and both Yelp and Tripadvisor say so on the same pages that give the rule. Yelp's wording: scammers use "a tactic called 'spoofing' where they will make it seem as if their email or website is coming from a known, trusted source, typically by using a similar sounding domain. For example, yeIp.com, spelled with a capital 'i', is not a legitimate Yelp website." Tripadvisor's example is tripadvisero1.com. A capital I and a lowercase L are the same shape in most fonts, so skim-reading a sender address is not a test.

Yelp's page in September 2026. The domain rule is the fourth bullet; the reason it is not enough on its own is the fifth.

Then read the rest of the message. These are the tells that hold up:

The link does not go where the text says. Hover over it on a computer, or press and hold on a phone, and read the actual destination. If the visible text says Google and the destination is anything else, stop there.
It asks you to sign in. Gmail's guidance is worth memorising: "If you're signed in to an account, emails from Google won't ask you to enter the password for that account." If you have already clicked, the instruction is to not enter your information and to "go directly to the website you want to use" instead.
There is an attachment. Yelp says legitimate Yelp communications "will not require you to open ZIP file attachments, create accounts on other sites, or download programs other than the Yelp app(s)". Tripadvisor says the same about ZIP files.
It arrived on WhatsApp or Telegram. Yelp and Tripadvisor both say they never use either. Google does send WhatsApp and RCS messages in some countries, and the tell is the blue verification tick: its verified WhatsApp account is called "Google Maps", sometimes with a country name after it, and an RCS sender shows as "Google".
It asks for money, or offers you some. Nobody at a review site will ask you to pay to change a rating, and nobody at a review site will pay you to leave one.
It is written to rush you. The FTC puts this first among scammers' tactics: "Scammers create a sense of urgency, intimidation, and fear." A genuine review notification carries no deadline, because a review is not a deadline.

The "reputation repair" pitch about a review that does not exist

There is a quieter version of this that catches careful people, because there is no malware and no fake login. Somebody emails or calls, says they have noticed a damaging one-star review on your listing, and offers to have it taken down for a fee. Sometimes they claim to work with Google. Sometimes they send a screenshot. The FTC gives it a heading of its own, Changing Online Reviews: "Some scammers claim they can replace negative reviews of your product or service, add positive reviews, or boost your scores on ratings sites. However, posting fake reviews is illegal."

Two facts kill the pitch. The first is that you can go and look. Open the profile and count. If the review they described is not there, the conversation is over, and it is worth keeping the email, because a claim about a review that does not exist is a useful thing to have in writing.

The second is that there is no paid channel into a review team. Google documents a report, one appeal per review and a legal request, and none of them are for sale. Yelp puts it flatly: "There has never been any amount of money someone can pay Yelp to alter reviews or ratings." Our guide to removing a Google review sets out the routes that do exist, and we went through what a legitimate removal firm can and cannot do in our look at Removify.

One case is different and needs a different response. If the one-star reviews really did land, in a burst, and then a demand for money arrived, that is review extortion rather than a scam email, and Google runs a separate report form for it.

The first instruction on that page is not to negotiate: "Do not engage with or pay the malicious individuals. This can encourage further attempts and doesn't guarantee the removal of reviews."

We walk through the whole pattern, and the evidence a report needs, in how to spot a fake review.

What to do when one of these lands

Do not click, do not reply and do not open the attachment. Replying confirms the address is live and staffed.
Open the profile yourself, by typing the address or using a bookmark or the app, rather than the link or a search advertisement. Review monitoring is what makes that check quick.
If the review is not there, report the message as phishing. In Gmail, open the message, click More next to Reply, then Report phishing. Meta asks you to forward it to phish@fb.com. Tripadvisor asks you to forward anything claiming to be from Tripadvisor to help@tripadvisor.com. Yelp asks you to contact its Support team.
Report it to the regulator too. It takes a minute, and as the FTC puts it, "your report can help stop the scam". In the US that is ReportFraud.ftc.gov. In the UK, forward the email to report@phishing.gov.uk, the address the NCSC publishes. In Australia, report it to Scamwatch.
If somebody already clicked and typed a password, change it everywhere it was reused, turn on two-step verification, then check who has access to the profile. Google's own hardening advice is to claim every location, because "unclaimed locations will make your business more vulnerable and prone to hijacks", and to keep the access list short. Watch for the follow-up as well: an emailed request to become an owner or manager of the profile should not be approved "unless you know the individual requesting access".

If the review turns out to be real

Sometimes you open the profile and it is sitting there. Answer it in public, once, within a day or two: name the thing that went wrong, say what changed, give one route to take the rest offline. Worked replies for every rating sit in our review response examples, and the hard end of the range is in how to respond to a 1-star review.

How a network trains 40 front desks not to click

One owner deciding carefully is not a defence when 40 receptionists share a generic inbox. A dental group with 40 practices can fix that with one rule and no training deck: nobody opens a review from an email link, ever. Reviews get read in one place, and that place is not your inbox.

Two things make the rule stick. Give every location one named person who can see the reviews, so a front desk that gets a scary email has somebody to forward it to instead of a decision to make. And give the team the honest reason, which is the FTC's: "Train employees not to send passwords or sensitive information by email, even if the email seems to come from a manager." A rule with a reason under it survives the week. A rule without one does not.

It is also easier to hold when there is somewhere real to look. Cloutly pulls reviews from 39 review sites into one inbox across every location, from the source rather than from a notification, so a review nobody can find there is a review that probably does not exist.

Frequently asked questions

Is the "you have a negative review" email real?

Sometimes. The way to find out is never the link. Open your profile on the platform the message names, signed in, and look at the reviews. If the review is there, the notification was real. If it is not, the message was written to make you click something.

The sender address looks right. Is that enough?

No. Yelp warns specifically about lookalike domains, and gives yeIp.com with a capital I as its example. Meta publishes the six domains its mail comes from, and Yelp and Tripadvisor publish their link rules, so an address that fails those rules is definitely fake. An address that passes them is only probably genuine.

Can anyone remove a bad review for a fee?

No. Google documents a free report, one appeal per review and a legal request, and Yelp says there has never been any amount of money that changes a review or rating. Anyone selling removal is selling you the free routes, a legal process, or nothing.

What should I do if a staff member clicked the link and signed in?

Change that password immediately, and anywhere else it was used. Turn on two-step verification. Then open the profile's list of owners and managers and remove anything you do not recognise, because taking the password is usually a step towards taking the listing.

60 online review statistics for 2026

Lachlan Fea — Sun, 06 Sep 2026 00:00:00 GMT

In the US, 97% of consumers read reviews for local businesses, 68% need to see at least four stars, and 74% want reviews written in the last three months. Every figure here carries its publisher, its edition and its sample.

Too many online review statistics pages give you a number without a year, then send you through three blogs to a survey you cannot read. There are sixty figures here, and we went back to the publisher's own page for every one on 6 September 2026. Each includes its edition, its sample and a source link. BrightLocal and ReviewTrackers are exceptions because they sell review software too, so we name them in full but do not link them. Older figures are marked, along with the reason they remain useful.

Google's own 2025 numbers, from New ways we're protecting businesses on Maps, 16 April 2026. Screenshot taken 6 September 2026.

How many people read online reviews

97% of consumers read reviews for local businesses. BrightLocal, Local Consumer Review Survey 2026 (published 11 February 2026, 1,002 US consumers).
The average consumer uses six different review sites when choosing a business. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
71% used Google to read reviews of local businesses in the past year, down from 83% the year before. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
95% of shoppers say they regularly read product reviews as part of their shopping journey. PowerReviews, The Complete Guide to Ratings & Reviews, survey fielded June 2025, 21,279 consumers.
Google Maps published more than 1 billion helpful reviews in 2025. Google, "New ways we're protecting businesses on Maps", 16 April 2026, covering calendar 2025.

How many reviews people read before they decide

47% of consumers will not use a business with fewer than 20 reviews. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
42% of shoppers typically read six to ten reviews before buying, 29% read 11 to 25, and 13% read one to five. PowerReviews, The Complete Guide to Ratings & Reviews, June 2025, 19,000+ consumers.
Only 43% of shoppers say they would buy a product with zero ratings or reviews. PowerReviews, The Complete Guide to Ratings & Reviews, June 2025, 21,279 consumers.
Purchase likelihood for a product with five reviews is 270% greater than for the same product with none. Medill Spiegel Research Center, Northwestern University, "How Online Reviews Influence Sales", 2017. Dated. It is here because it is still the only published figure putting a number on the jump from zero reviews to a handful, and nothing since has replaced it.

What star rating a business needs

92% of consumers care about a business's star rating when choosing one. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
68% will only use a business rated four stars or higher, up from 55% a year earlier. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
31% now require 4.5 stars or higher, up from 17% a year earlier. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
77% say negative reviews make them less likely to choose a business. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
56% of consumers do not trust a star rating on its own as much as a star rating with written reviews under it. PowerReviews, The Ever-Growing Power of Reviews, fielded March 2023, 8,153 US consumers.
Purchase likelihood peaks in the 4.0 to 4.7 star range and falls above it, because a perfect score reads as unlikely. Medill Spiegel Research Center, Northwestern University, 2017. Dated. Still the only source with published product-level data behind the finding that 5.0 is not the target.

If you are trying to improve a rating, the highest possible score is not necessarily the useful target. The rating people trust can be lower. If volume is the issue rather than average, how to get more Google reviews covers the ask, and how many Google reviews you need does the arithmetic.

How much review recency matters

74% of consumers want reviews written in the last three months. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
44% name "posted within the last month" among the things that make a review count, which puts recency third of the ten review features consumers were asked to weigh. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
90% of shoppers at least regularly consider how recently a review was written. PowerReviews, The Complete Guide to Ratings & Reviews, June 2025, 19,000+ consumers.
Review recency ranks 11th out of 187 factors local search experts scored for Google's local pack. Whitespark, 2026 Local Search Ranking Factors, published 6 November 2025, 47 local search experts.

What responding to reviews does

89% of consumers expect a business owner to respond to reviews. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
80% say they are likely to use a business that responds to all of its reviews. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
42% are unlikely to use a business that ignores its reviews entirely. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
81% expect a response within a week, and 19% expect one the same day, up from 6% a year earlier. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
50% are unlikely to choose a business whose replies read as templated or generic. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
37% name an owner's response among the review features that matter most to them. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).

Most reply templates fail because the response sounds issued, not written by a person. Review response examples has the copy.

What consumers think about fake reviews

97% of consumers think a business caught with fake reviews should face some punishment, and 57% would ban it from the review platform. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
63% hold the review platform responsible for detecting fake reviews, and 49% hold the business responsible. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
11% of consumers were offered an incentive to write a positive review. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
The FTC's rule on the use of consumer reviews and testimonials went into effect on 21 October 2024. Federal Trade Commission, questions and answers for business. The final rule was announced on 14 August 2024.
Civil penalties under that rule run to $53,088 per violation, and on 22 December 2025 the FTC sent warning letters to a number of companies it said were using fake reviews or offering incentives for five-star ones. FTC business blog.

The rule applies directly to the conduct behind that 11%: paying for a review on condition that it is positive. It also breaks Google's and Yelp's policies. To comply with all three, ask every customer and accept whatever they write. That is most of Google's review policy in a sentence. How to spot a fake review covers the reader's side of it.

How many fake reviews the platforms catch

Google blocked or removed more than 292 million policy-violating reviews in 2025. Google, "New ways we're protecting businesses on Maps", 16 April 2026, covering calendar 2025.
Google removed over 13 million fake Business Profiles in 2025. Google, 16 April 2026.
Google placed posting restrictions on more than 782,000 policy-violating accounts in 2025. Google, 16 April 2026.
Yelp filtered out nearly 500,000 suspected AI-generated reviews in 2025. Yelp Trust & Safety Report 2025, covering calendar 2025, global.
Of the 22 million reviews contributed to Yelp in 2025, 70% were recommended, 17% were not recommended, 11% were removed by Yelp's User Operations team and 2% were removed by the reviewers themselves. Yelp Trust & Safety Report 2025, global.
Yelp closed more than 1.3 million user accounts in 2025 for violating its terms of service, up 138% on 2024. Yelp attributes most of that rise to fake airline phone-support accounts rather than to review fraud. Yelp Trust & Safety Report 2025.
Yelp closed 1,991 accounts in 2025 for being tied to review exchange rings or other suspicious review activity. Yelp Trust & Safety Report 2025.
Tripadvisor blocked or removed 2.7 million fraudulent reviews in 2024, against 31.1 million reviews submitted. Tripadvisor Transparency Report 2025, covering calendar 2024.
Tripadvisor removed over 214,000 reviews it believed contained AI-generated text, across 101,411 properties in 189 countries. Tripadvisor Transparency Report 2025, 2024.
Tripadvisor removed over 360,000 reviews that appeared to come from staff incentive schemes, where a business rewards its own employees for gathering positive reviews. Tripadvisor Transparency Report 2025, 2024.

Three platforms, three different definitions of removal, and no shared denominator. Google reports what it blocked. Yelp reports what its recommendation software demoted as well as what it deleted. Tripadvisor reports removals against a submission total. They are separate enforcement stories, not a league table.

How reviews affect local ranking

Start with Google's own wording. Local results are "mainly based on relevance, distance, and popularity", and under popularity, "more reviews and positive ratings can help your business's local ranking" (Google Business Profile Help). The same page says there is no way to request or pay for a better local ranking. Everything below is practitioner opinion, labelled as such.

High numerical Google ratings rank 6th out of 187 factors scored by local search experts for the local pack. Whitespark, 2026 Local Search Ranking Factors, 6 November 2025, 47 experts.
Quantity of native Google reviews with text ranks 9th of 187. Whitespark, 6 November 2025.
Keywords in native Google reviews rank 36th of 187. Whitespark, 6 November 2025.

Review recency sits at 11th on the same list, as noted in the recency section above. The two factors above everything else are the primary Google Business Profile category and proximity to the searcher. Reviews cannot move either.

Reviews and AI assistants

45% of consumers used an AI tool to get a local business recommendation in the past year, up from 6% a year earlier. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
31% used ChatGPT specifically for a business recommendation in the last 12 months. BrightLocal, Local Consumer Review Survey 2026 AI trust analysis (published 10 March 2026, 1,002 US consumers).
42% trust AI platforms for local recommendations as much as they trust reviews. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
97% of the consumers who use AI for recommendations at least sometimes check the answer against real reviews. BrightLocal, Local Consumer Review Survey 2026 AI trust analysis (455 AI users).
82% of consumers read AI-generated review summaries. BrightLocal, Local Consumer Review Survey 2026 (1,002 US consumers).
58% of the 900 US adults in Pew's panel ran at least one Google search in March 2025 that produced an AI summary. Pew Research Center, 22 July 2025, 68,879 searches by 900 US adults who agreed to share their browsing.
18% of all the Google searches in that study produced an AI summary. Pew Research Center, 22 July 2025.
Users who saw an AI summary clicked a traditional search result on 8% of visits, against 15% when no summary appeared. Pew Research Center, 22 July 2025.
They also ended the browsing session outright on 26% of pages carrying an AI summary, against 16% of pages without one. Pew Research Center, 22 July 2025.
88% of AI summaries cited three or more sources. Pew Research Center, 22 July 2025.
The authority of the third-party sites a business's reviews sit on ranks 5th out of 187 factors that local search experts scored for AI search visibility, above anything to do with the business's own Google Business Profile. Whitespark, 2026 Local Search Ranking Factors, 6 November 2025, 47 experts.
High numerical Google ratings rank 8th on that AI list, and the diversity of sites carrying a business's reviews ranks 11th. Whitespark, 6 November 2025.

An assistant is increasingly the first answer. Reviews are what people check it against. The two lists also diverge: for the local pack, reviews on your Google profile matter; for AI visibility, the experts put the authority of other sites carrying your reviews above anything on your profile. Does ChatGPT recommend your business measures that question, and AI search statistics has the wider figure set.

What differs by industry

This is where the public record is thinnest. No current consumer survey of any size breaks review behaviour down by sector. Most industry figures in circulation trace back to one analysis of 2020 and 2021 data, so we show their age rather than pretend they are current.

88% of all reviews sit on four platforms, and 73% are on Google, followed by Yelp at 6%, Facebook at 3% and Tripadvisor at 3%. ReviewTrackers, Online Reviews Statistics and Trends Report (published 9 January 2022, 48,000+ business locations, Q2 2020 to Q1 2021). Dated. No newer platform-share analysis of comparable size has been published.
Average response time to a review ran 8.8 days in automotive, 6.9 days in hospitality and 5.1 days in restaurants. ReviewTrackers, January 2022, same sample. Dated.
Average rating ran 3.92 stars in automotive and 3.73 in both hospitality and restaurants, while the fastest-replying tenth of brands in those industries answered in about a day and averaged 4.19 to 4.32 stars. ReviewTrackers, January 2022, same sample. Dated. Treat the gap as an ordering, not as a benchmark to hit.
A one-star increase in a restaurant's Yelp rating leads to a 5% to 9% increase in revenue, and the effect comes entirely from independents: ratings did not move revenue at restaurants with a chain affiliation. Michael Luca, "Reviews, Reputation, and Revenue: The Case of Yelp.com", Harvard Business School working paper 12-016, Yelp reviews matched to Washington State Department of Revenue data. Dated (2011). It is the most-quoted revenue figure in this whole category, and almost every page that quotes it drops the chain finding, which is half of what the paper says.
75% of Tripadvisor reviews carry a five-bubble score, and the platform average is 4.42. Tripadvisor Transparency Report 2025, 2024. This is the one current, first-party, sector-specific rating benchmark in the set, and it covers travel and hospitality only.
Yelp names locksmiths, garage door repairs, roadside assistance and plumbing as its high-risk categories for spammy new business page submissions. Yelp Trust & Safety Report 2025, 2025. Not a statistic, but it is the only current first-party statement about which categories attract the most review fraud. More of Yelp's own numbers are in Yelp statistics 2026.

How these online review statistics are checked

We opened every figure above at its publisher's own page on 6 September 2026. Nothing comes from another statistics roundup. Every entry names a publisher, an edition or year, and the sample where the publisher states one.

Four rules govern what gets in.

A figure has to be readable at source. If the study is gated, unlinkable or has moved, it does not go on the page.
Nothing older than 2023, unless it is the only published figure on a point that matters. Six figures qualify, two from 2017, three from 2022 and one from 2011, and each is marked Dated with the reason.
Publisher, edition, sample. Where a publisher does not state a sample, we say so rather than fill it in.
One link per figure, to the primary source, unless the publisher is a competitor of ours. BrightLocal and ReviewTrackers both sell review software, so we cite their figures by publisher, edition and sample and do not link them. Everything else is linked.

Two caveats apply to the set. Almost all consumer research on reviews is US-only, which is why the samples are stated. Survey figures and platform figures also answer different questions: BrightLocal and PowerReviews report what people say they do, while Google, Yelp and Tripadvisor report what their enforcement systems did. They are not interchangeable, so we keep them in separate sections.

Last checked: 6 September 2026. Next check: December 2026. We re-check this page every quarter. Figures whose source has moved or been withdrawn come off, superseded editions replace the older ones, and the date above changes. If a number here is wrong or out of date, tell us. We will fix it rather than leave it.

We keep this page current because reading reviews across 39 sites is what Cloutly does all day.

Customer feedback analysis without running a survey

Lachlan Fea — Sun, 06 Sep 2026 00:00:00 GMT

Customer feedback analysis turns what customers wrote into a theme, a count and a decision. For a service business, the raw material may already be sitting on public review profiles, whether a customer was prompted to leave a review or wrote one on their own. The aim is a theme with a number beside it and the reviews behind that number.

Verified 6 September 2026 against Google's help page on managing customer reviews, the Google Business Profile API's review data reference, and the Maps user contributed content policy.

Some customer-feedback guides begin with a survey. If a business already has a steady run of public reviews, it can first read that material in a consistent way and see what it says by location.

What customer feedback analysis has to produce

The problem usually appears at the end of the process. Someone reads a handful of reviews, writes "customers are frustrated with our booking process" in a deck, and nobody knows whether that means nine people or ninety, which site they visited, or whether the issue is new. A useful analysis produces four things.

Output	The test it has to pass	What it looks like
Theme	Named in the words customers use, not the words in an org chart	"Cannot get through to reschedule"
Count	Carries the denominator it came from	19 of the 71 reviews at that clinic
Evidence	Lets a reader open the number and read what it counted	Those 19 reviews, with dates
Comparison	Sets the number against another location or an earlier period	27% this quarter, 7% last quarter

A theme without a count is an anecdote. A count without a comparison is hard to interpret. A score alone cannot show which issue moved or where to start.

Keep the source row available when you report the number. A manager should be able to move from "19 booking mentions" to the matching reviews without asking someone to rebuild the analysis. That makes a disputed tag easy to inspect, and it prevents a tidy chart from becoming a claim nobody can check.

The feedback you already have

Reviews and surveys answer different questions. Public reviews are continuous and visible to the next customer. Surveys can ask a narrower question of a chosen group. Both are biased samples, so each count in this method stays next to its denominator.

The longer argument is in review-led versus survey-led reputation management. For published figures on how people use reviews, see our online review statistics roundup.

How to analyse customer reviews by hand

This is a spreadsheet method for a review window you can read consistently. It starts with the reviews themselves, then makes the comparison clear enough for someone to act on it.

1. Put the reviews into one sheet

Google's help page on managing customer reviews documents reading and replying. It does not document a review download control, so copying and pasting may be the practical option for one location.

The Google Business Profile API also exposes accounts.locations.reviews.list for one location and accounts.locations.batchGetReviews across several locations. Review software may offer its own export.

Use one row per review. Include date, location, review site, star rating, review text, and a column for each theme.

2. Set the taxonomy before you start reading

A taxonomy is the closed list of themes used for tagging. Write it before the first review. If the list changes with every new comment, the results will not be comparable.

Choose a small set of themes the business can change. For Coastline Physio, a fictional three-clinic group, the list could include booking and reschedule, wait time, treatment result, practitioner, reception and admin, price and billing, parking and access, facilities, and Other. Treat that as a starting point, then revise the list between reporting periods if the Other column is carrying a meaningful share of the comments.

Write a short definition beside each label. "Booking and reschedule" might include a failed online booking, an unanswered reschedule request, or an appointment that could not be changed. "Reception and admin" might cover the front desk only. The definitions do not need to be elaborate. They need to keep two people from using the same label for different problems.

3. Tag every mention

Put a 1 in each theme column a review mentions. A single review can mention more than one theme.

Tag the mention rather than the star rating. A five-star review that says "brilliant physio, shame about the parking" still contains a parking complaint. A separate complaint-or-praise column makes that distinction visible.

Use a tagging guide and keep it with the spreadsheet. A severity score can be useful only when the people applying it share a stable rubric; otherwise it introduces another moving part.

4. Count with the denominator

Sum each theme by location and for the group. Divide each location's theme count by that location's reviews in the chosen window, rather than by total theme mentions. That denominator stays stable when an unrelated theme moves.

Check that every review profile belonging to a location is in the denominator. A duplicate profile can split the review set, which is why a duplicate profile is a different problem from two locations with the same name.

5. Compare the same view twice

Run the table for the previous window as well. You can then compare each location with the group and with its own earlier result. Use the same window length and taxonomy. A January-to-March report and an April-to-June report can sit beside each other. A two-week report beside a quarter cannot tell the same story.

When you share the result, lead with the location and the fraction: "Milton Street: 19 booking mentions in 71 reviews." Add the earlier result beside it, then link the number to the matching reviews. That small reporting pattern keeps the discussion on the evidence instead of on a chart's colour or a broad label such as "poor customer experience". It also lets the manager ask a useful follow-up: which booking step appears in those 19 reviews, and does the same wording appear in last quarter's five?

A worked example

Coastline Physio is a fictional group with three clinics. In one quarter it received 214 reviews: 96 at Harbour Road, 71 at Milton Street and 47 at Westgate. The table records complaint mentions against the taxonomy above.

Before turning a theme into work, open a handful of the reviews behind it. Counts make a good starting point, but the wording tells you whether the same label is hiding different problems. Five booking mentions might all concern the online form. Or three might be about a delayed confirmation and two about a phone queue. Keep those differences in the notes column, then decide whether they need one operational change or two smaller fixes.

That check is especially useful when a theme rises sharply. A jump may be real, but it can also reflect one busy weekend, a new staff member or several reviews describing the same incident. The count still belongs in the report. The review text simply keeps the next action specific.

Theme	Harbour Rd (96)	Milton St (71)	Westgate (47)	Group	Share of 214
Booking and reschedule	4	19	3	26	12.1%
Wait time	7	6	2	15	7.0%
Parking and access	11	1	0	12	5.6%
Price and billing	3	4	2	9	4.2%
Reception and admin	2	5	1	8	3.7%
Facilities	1	2	3	6	2.8%
Treatment result	2	2	1	5	2.3%

The group figure says booking and reschedule accounts for 12.1% of the quarter's reviews. The location split changes the conversation: Milton Street has 19 mentions in 71 reviews, or 26.8%. Harbour Road has 4.2%; Westgate has 6.4%.

Milton Street had five booking complaints in 68 reviews in the previous quarter, or 7.4%. The clinic changed its online booking system in July. The change in the count does not prove the system caused the complaints. It gives a manager a specific place to investigate.

Harbour Road's parking issue is different. Eleven of its 96 reviews mention it, compared with one at Milton Street and none at Westgate. The clinic cannot change the street, but it can put clear parking directions in the booking confirmation.

The same example also shows why a lifetime rating can be a poor operating measure. As an illustrative weighted calculation, 552 reviews at 4.83 plus 71 new reviews at 4.52 equals about 4.7947, which rounds to 4.79. That is arithmetic for this example, not a claim about how Google calculates or displays profile ratings.

Where the manual method breaks

The limit is not a universal review count. It is whether someone can tag the chosen window using the same guide, then repeat the work when the next window closes. A three-location group with 214 reviews can use the example above as a planning exercise. A larger review flow may need a different process or software before the routine starts getting skipped.

Two checks matter as volume rises:

Compare a sample of tags between periods. If "waited 25 minutes past my appointment" moves from wait time to reception and admin because the tagger changed, the trend may be a tagging change.
Keep the reporting cadence realistic. Missing a period removes the comparison that gives the count context.

What to look for in customer feedback analytics software

Ask what every number represents. A useful screen can tell you how many reviews matched a theme and let you inspect the review set. Ask whether the result is reproducible for the same filters and whether the count is shown per location.

Look for the reviews behind the number. If a screen says 19, a manager should be able to open those 19 reviews and understand why they were included.

Ask how the tool handles one review with two issues. A review that praises a practitioner and complains about parking should be able to contribute to both themes. If the product forces every review into one bucket, the count may hide the issue that prompted the reader to open the report in the first place.

Location comparison matters too. The Coastline Physio example would have sent the wrong team looking for a fix if it had shown only a group total. The useful view puts one location beside another and beside its previous period.

Finally, check what the software turns into an action. A short list of themes, counts and underlying reviews is easier to work through than a screen that leaves the team to decide where to begin. Exporting the data can still be useful, but a manager should not need a fresh spreadsheet each month just to find the reviews behind a reported theme.

Cloutly's Ask answers a question about an account's own reviews with a computed count, shows how many reviews it searched, and links to the reviews behind the number.

Google's Maps user contributed content policy says businesses may not "selectively solicit positive reviews from customers".

Acting on what you find

The public response and the operational response are separate jobs.

Reply to the reviews behind a theme with the next reader in mind. For a parking finding, that may mean naming the nearby car park. For a booking problem, it may mean giving a direct number to call. Our review response examples cover the writing side.

Then choose one theme, name the change, record the starting share, and check the same share in the next reporting window. If Milton Street's booking share stays at 26.8% after a booking-flow change, the team has more work to do.

Reading reviews in a batch is the "Use" part of review management: the four jobs and who does them. Review monitoring covers the separate job of catching reviews as they arrive.

What to distrust

Sentiment scores. A sentiment score may be useful as one signal, but it does not replace a coded-theme count. Check whether it identifies the theme, denominator and location behind a change.

Lifetime star averages. The illustrative Milton Street calculation moves from 4.83 to 4.79 while 26.8% of its current-quarter reviews mention the same booking issue. A lifetime average may still be useful on a profile. For operations, use the chosen window and location.

Word clouds. A word cloud retains word-frequency counts, but it does not by itself tell you whether a word is praise or a complaint, or provide a coded-theme denominator. Use it as a prompt for reading, not as the report.

Frequently asked questions

What is customer feedback analysis?

Customer feedback analysis groups what customers wrote into a fixed set of themes, counts each theme against a stated denominator, and compares those counts by location and over time. The working output is a theme, a count and the reviews behind it.

How do you analyse customer reviews?

Put the reviews in one sheet, set a theme list before reading, tag every theme each review mentions, sum the columns by location, and divide by that location's review count. Run the same view for an earlier period so the result has context.

Is review data biased?

Yes. Public reviews come from customers who chose to write in public, whether prompted or spontaneous. Survey responses come from customers who chose to answer a form. Neither sample is random, so the method keeps the denominator beside the count.

What is the difference between customer feedback analysis and sentiment analysis?

Sentiment analysis classifies text by polarity. Customer feedback analysis asks what the text is about, how often it appears, and which location it concerns. Sentiment can be one field in a wider analysis.

Can you export your Google reviews?

Google's review-management help page does not document a review download control. The Google Business Profile API exposes reviews per location and in batches across locations.

Reputation management for agencies: what the work is and what to charge for it

Lachlan Fea — Sun, 06 Sep 2026 00:00:00 GMT

Reputation management for agencies is a productised service: you run a client's review programme for a monthly fee. The ask that goes to their customers, an inbox that catches every review, the replies, the profile data behind them, a report at the end of the month. It sells easily and loses money easily, because agencies price it per client while the cost sits in replies, and replies scale per location.

Verified 6 September 2026 against Google's help pages on local ranking, replying to reviews and profile owners and managers, the Maps content policy, and the FTC's Consumer Reviews and Testimonials Rule questions and answers. None of it is legal advice.

Written for the agency principal deciding whether to put this on the service list. If that is settled and the open question is whose brand the client sees, white-label review management is the piece on that.

Why clients ask agencies for reputation management

Reviews are the part of local marketing a client can see without you. They cannot read a rank tracker and they do not really believe an impressions chart, but they can read a 4.1 sitting next to a competitor's 4.7 in the map pack. So can their franchisor. So can the person on the front desk who keeps getting asked about it. That is why the request usually arrives unprompted, attached to a complaint about something else.

It is not vanity. Google names relevance, distance and prominence behind local results, says prominence is based partly on "how many reviews you have", and adds that "more reviews and positive ratings can help your business's local ranking".

There is a reason on your side too. A reputation retainer moves a number inside the first month, in a category where most of what you sell takes a quarter to show anything, and clients rarely cancel a service whose result they can watch. The visibility runs both ways. If nothing has moved by month three, everyone can see that too.

What reputation management for agencies actually involves

The jobs are the ones any business does for itself, and the four jobs of review management covers them from the client's side. What changes for an agency is that you do them across every client at once, and your real constraint is not effort. It is approval.

Job	Cadence	What happens if you skip it
The ask	Automatic, fired by the client's booking, point-of-sale or CRM system	Review count stays flat and the retainer has nothing to show
The inbox	Daily	A one-star review sits for nine days and the client finds it before you do
Replies	Twice a week, drafted by you and approved by the client	The profile reads as an absent owner
Profile data	Monthly	Wrong hours on Google in December, the complaint that reaches the owner
The report	Monthly, on the same date every time	Judged on feel, and feel is not on your side in a flat month

Only the ask scales for free. For one client or thirty it is a template, a trigger and a decision about timing, and the trigger should come from a system that already knows the job is finished, not from a person remembering.

The inbox is where agencies underquote. Watching one profile is a notification setting. Watching four profiles across six locations for eleven clients is a list somebody opens every morning, and what you sell is that it gets opened.

Replies are the cost centre. Ten clients averaging 25 reviews a month is 250 replies, and at three minutes each that is twelve hours before one goes for approval. Approval turns twelve hours into a week of chasing. Positive review response examples has the templates worth systemising first, because praise is the volume.

How to offer reputation management as an agency: pick the delivery model first

If you intend to sell it under your own brand, read the white label buyer's checklist before you pick, because it decides what you can promise.

Set the delivery model before you quote anybody. It determines the scope and price.

Model	Works up to about	Where it breaks
By hand: notifications, a spreadsheet, a calendar reminder	Five clients	The morning check gets skipped and nobody notices for a fortnight
A platform, under the vendor's brand	Fifty clients and beyond	The client sees the vendor's name and works out they could buy it themselves
White label: the same platform, your brand	Fifty clients and beyond	You are the support desk, because you are the name on the login page

Those client counts are rules of thumb, not research. The line between the first two rows is less a number than a moment: the first time you cannot answer "how many reviews did that client get last month" without opening four browser tabs.

Most of the platform shortlist looks identical in a demo, and three questions separate them. Does one login reach every client without a password swap? Does the ask fire off the client's own booking or point-of-sale system, or does somebody upload a CSV? And is each client account separate, so one client's reviews can never surface in another's dashboard?

Go white label when the client has to see your brand: when you are the agency of record and a second vendor's name on the login page invites the client to go around you. Cloutly's white-label tier points your own hostname at us with one CNAME and the certificate handled at our end, carries your name, colours, logo and links on every screen a client reaches, and puts every client account in one list you can log in to.

How to scope and price it as a retainer

Charge on locations and expected review volume, not per client, and anchor the fee against what doing the work in-house would cost the client, which is mostly reply time. A retainer quoted per client gets worse every time a good client opens a second site.

Five things the scope has to name, in writing, before the first invoice.

Which profiles are covered. Google, whichever second profile their customers actually use, and stop. Every extra profile is another surface you have promised to watch.
A review volume band. Replies are your variable cost, so state the volume the fee assumes and what happens above it. That protects you in the month a client goes viral for the wrong reason.
Who publishes replies. Either you draft and the client approves inside an agreed window, or you publish under a written policy with named exceptions. Pick one. Hybrids are where retainers quietly stop being profitable.
Whether profile data is in or out. Hours, phone, address and the monthly check on them are real work. Charge for it or say plainly it is not included.
The report, and its date. Same date, same numbers, every month. A report that changes shape reads as an argument.

Keep set-up out of the retainer. Access, the trigger, the reply policy and the baseline are a one-off project with a one-off fee, and folding them into month one is how the first quarter of a twelve-month retainer becomes unpaid work. Message costs work the same way: texting carries a per-message cost that varies by country, so it belongs in the contract as a named pass-through or a stated allowance.

Do not price on outcomes you do not control. Rating movement is the trap, because it lags and depends on how many reviews the client already has, so a client with 900 lifetime reviews could pay you almost nothing for excellent work. Price on the work and report on the outcome. And ask for a term: ninety days is the honest minimum, because velocity takes a month to establish and two more before a trend is a trend rather than a good fortnight.

What to report to the client each month

Four numbers, on one page, in the same order every month.

Metric	How to define it	Why it is the one to show
Review velocity	New reviews per location this month, against the same month last year	Reviews are seasonal, so year on year beats month on month
Response coverage and speed	Percentage answered, and median hours to first reply	Entirely within your control, so lead with it in a flat month
Rating movement	The rolling 90-day rating, per location	The lifetime average is arithmetic sludge and hides your work
AI visibility, if you sell it	Whether assistants name the client when asked for a business like theirs, sampled monthly	The question clients started asking in 2025 that most agencies cannot answer

The rating row is worth the arithmetic, because it is where agencies get punished for good work. A client sitting on 400 lifetime reviews at 4.3 who collects thirty new ones at 4.9 moves their lifetime average by about four hundredths of a star. On the report that reads as nothing happened. The rolling 90-day rating moves visibly over the same period, and it is the more honest number anyway, because it describes the business as it runs now rather than as it ran in 2021.

Report AI visibility as a sample, not a rank, and say so on the page: ask an assistant the same question twice and the answer can differ. How to check whether AI recommends your business is the method, and it works better as a paid add-on than folded in for free.

Leave two things out. A sentiment score you cannot explain will cost you the whole meeting the first time a client asks how it is calculated. And never lead with a multi-location client's network average: it hides the two sites dragging the brand down, and those sites are why you were hired. The multi-location playbook covers reading a network properly.

Take the baseline before the first invite goes out. Without it, month three is your word against the client's memory.

The mistakes that end the retainer

Gating, in any form

Asking for a star rating first and showing the review links only to customers who answer four or five is review gating. Google's Maps content policy puts it in the prohibited column: merchants may not "discourage or prohibit negative reviews, or selectively solicit positive reviews". It is self-defeating as a service, because a filtered rating describes your filter rather than the client's business. Review gating covers why vendors still sell it.

The part agencies miss is who carries the risk. The FTC's rule on consumer reviews and testimonials has been in force since 21 October 2024, and it "authorizes courts to impose civil penalties for knowing violations". Its questions and answers page asks whether advertising agencies, PR firms, review brokers or reputation management companies can be liable under it, and answers: "Yes. These entities are not immune from liability under the rule." Running the programme on a client's behalf does not move the exposure onto the client.

Incentives, and staff quotas

Google prohibits offering "payment, discounts, free goods and/or services" in exchange for a review. The same policy prohibits "merchants requesting that staff solicit a certain number of reviews" and "merchants requesting that staff solicit reviews that include specific content". That second one catches a lot of well-meaning agency work: a reviews-per-week target on a branch manager's scorecard gets written into a rollout plan without anybody checking the policy. What is allowed is soliciting content that represents a genuine experience, without incentives and without influencing the rating or the wording.

Replying without the authority to speak

Google is explicit about how a reply appears. It publishes under the customer's review, and "it will appear like your business replied, and your personal name won't be shown". The client's brand carries whatever you write, with no visible agency byline.

So the reply policy has to name the tone, the topics that always go back to the client first, and the person on the client side who answers within the day when one of those lands. Refunds, anything about a named staff member, anything clinical or legal, anything involving a minor, and anything alleging injury belong in that middle group.

Taking ownership of the client's profile

Get added to the client's Google Business Profile as a manager, not an owner. Google's own capability table gives managers the tick on "Respond to reviews" and withholds it on "Add and remove users" and "Remove Business Profiles". That is the right amount of power for a supplier to hold over an asset the client cannot rebuild. Never accept primary ownership, and never work from a login the client also uses. New owners and managers wait seven days before some profile features become available, so access is the first onboarding step, not the last.

The test is simple. If the relationship ended on Friday, would handing everything back be a five-minute administrative task?

Selling removals

You cannot delete a review the client dislikes. You can report one that breaks the platform's rules, and that test is narrower than owners expect, so selling removal as a deliverable means promising an outcome you do not control to somebody who will remember the promise word for word. How to remove negative reviews from Google has what a report can and cannot do.

An onboarding checklist for a new reputation client

Nine steps. The order matters more than the list.

Get access properly: manager on the Google Business Profile, an admin role on the Facebook page, named logins elsewhere. Your accounts, never the client's.
Audit what exists, claimed or not, including the duplicate somebody created in 2019 and the page still carrying the old address.
Take the baseline: reviews per location for twelve months, current rating, response rate, median reply time.
Find the trigger, and how a mobile number or email comes out of it. This is the step that stalls, so start it in week one.
Agree the reply policy: tone, approval window, escalation list, and the named person who answers.
Set the ask timing. A physiotherapist asking the morning after a first appointment and a builder asking after handover are different programmes.
Tell the frontline staff. A front desk that does not know why customers mention a text message will apologise for it.
Fix the wrong hours and the wrong phone number in the first fortnight, while it is still scoped as set-up.
Book the report date and a 30-day review, where you check whether the ask lands at the right moment.

Restaurant reputation management: how to run it across every venue

Lachlan Fea — Sun, 06 Sep 2026 00:00:00 GMT

Restaurant reputation management is three habits rather than a project. Ask every guest the same way after the visit, answer what comes back, and read the reviews across your venues for the complaints that repeat. It matters more for a restaurant than for most businesses because the rating sits between the search and the booking. Someone standing on the street at seven o'clock deciding where to eat never opens your website.

What follows is the venue version of that job: where the ask belongs in a service, what Google forbids at the table, which sites are worth the effort, what to write back, and how any of it survives a second and a fourth venue. Most advice on reputation management for restaurants stops at reply politely and ask for reviews, which is true and useless.

The venue view from our hospitality page, drawn with an invented four-restaurant group. Counting complaints venue by venue is what turns a rating into something you can act on.

What reviews do for a restaurant

Start with the map result. Google's guidance on local ranking lists relevance, distance and prominence, and puts reviews inside prominence: "More reviews and positive ratings can help your business's local ranking." Prominence itself is "based on info like how many websites link to your business and how many reviews you have". For a restaurant that covers most of the searching that happens near you.

Then the walk-in. Someone two hundred metres from your door is comparing you with two other places on the same street, and what they see is a rating, a count and the two most recent reviews. A venue with 480 reviews at 4.5 reads as busy. The same venue with 46 reads as untested, whatever the food is like.

Managing restaurant online reviews gets simpler once you accept that both of those happen on Google. Everything after them is a decision about who eats with you.

When to ask a guest for a review, and why never at the table

Ask after the visit is over. Two moments work: shortly after the bill closes, while the guest is in the taxi or walking home, and the next morning, which suits a long dinner and not a lunch. Either beats a week later, when the meal has blurred into every other meal.

The table itself is out, and not because it is awkward. Google's prohibited and restricted content policy, read on 6 September 2026, says under rating manipulation: "When soliciting reviews, merchants should not require or pressure users to leave ratings or write reviews while on the premises, nor should they request that specific content be included."

Read that closely, because most articles get it wrong in one direction or the other. It is not a ban on a review link existing inside your building. A QR code on the bill folder is fine, and Google's own tips page says that "to leave reviews, you can ask customers to visit a Google link or scan a QR code". What is banned is a person standing there while the guest types. A tablet on the pass, a server waiting for the phone to come out: that is pressure on the premises, and it is how you end up with a page of five-word reviews that read like they were written under supervision.

The same policy bans the other shortcut. Merchants may not "offer incentives ... in exchange for posting any review or revision or removal of a negative review", so a free dessert for a five-star breaches it however friendly the sign is. Nor may you sort your guests: sending happy diners to Google and unhappy ones to a private form is review gating, which the policy covers under "Discourage or prohibit negative reviews, or selectively solicit positive reviews from customers". Ask everyone the same way at the same point.

Let the till or the booking system decide the moment

An ask that depends on somebody remembering stops on a busy Saturday, which is the night you most want reviewed. Hang it off something that already happens.

The till is the obvious trigger, because payment is the one event every seated guest generates. Cloutly connects to Square and Clover for this: Square can fire on "Payment received" or on "Order completed and payment received", Clover on "Payment Completed", and you choose how long after that the message goes out. A booking system reaches the same place through Zapier, so a completed reservation can be the trigger instead if that suits your floor better.

What matters more than the trigger is what the ask does with a regular. Someone who eats with you fortnightly should be one contact asked once, not one ask per visit, and a guest who reviewed you two months ago should not be asked again on their next booking. Cloutly holds one contact per person, moves the send time when they book again rather than adding a second ask, skips anyone who has reviewed you in the last 90 days, and stops the follow-ups the moment a review lands.

No till reaches the walk-in who paid cash. That is what a QR on the bill folder is for, and it is the honest limit of automation in a dining room. More of this is on our hospitality page.

Which sites to send guests to

Two, for almost every venue. Google takes the ask at every venue, on every service. Tripadvisor takes the second ask if travellers are a real share of your covers, and nothing at all if your room is mostly regulars from three suburbs. Check your bookings before you decide which you are.

Then stop, because the rules stop you. OpenTable asks the diner itself the day after a seated booking. Yelp tells businesses never to ask. Zomato answers selective asking with a public disclaimer on your own page telling diners your reviews look suspicious. Which sites allow the ask, which punish it and what each lets you say back are in restaurant review sites: the 9 that matter. The wording of the ask itself is in how to get more Google reviews.

The complaints every venue gets, and what a reply has to do

The negatives repeat. The wait, cold food, noise, price, a member of staff, and a booking that went wrong: after a few hundred reviews you can name the complaint before you have finished reading it. The star ratings vary. The complaints do not.

A reply that works takes about ninety seconds. It uses the guest's name, says plainly which part of their account is true, names the change in one sentence if there is one, and offers a way back that is a person rather than a form. Google's reply guidance adds a rule that catches restaurants: be "conversational, not promotional", because "your reviewers are already customers". Putting right one bad night is not a promotion. Closing every reply with a discount code is.

Two rules are specific to hospitality.

Answer the one-shot sites when you are calm. Google lets you edit a reply after it publishes. Tripadvisor does not: "At this time, it's not possible to edit a management response. However, you can delete a response and then submit a new one in its place." Deleting pulls your answer off the review straight away, so the reply you type at eleven at night either stays or leaves the review bare while you write another.

Never trade a comp for a review coming down. Making good on a bad night is fine and expected. Offering a meal in exchange for a revision is the same breach as buying the review outright, and Google's policy names both in one sentence.

Here are three templates for complaints venue-specific enough that generic advice fails on them. The wait, the price and a complaint about a person already have worked examples in review response examples, and ten written for the Tripadvisor format are in how to respond to a bad Tripadvisor review. Every business below is invented.

Noise: "we could not hear each other"

Thanks for the review, Marianne. The room is brick and glass and it gets loud the moment it fills, which is a fair thing to be annoyed about and not something you should have to shout through. The two booths along the back wall are the quietest tables we have and they are yours if you ring and ask for them. We have also brought the music down after seven, which will not change the room but it takes the edge off. Rosa, Owner, Bramble & Rye

Noise is the complaint owners answer worst, because the honest answer is that the room is the room. Do not promise an acoustic rebuild. Offer the quiet table, name the one thing you changed, stop.

Cold food, when the guest said nothing at the time

Thanks for writing this, Owen. The pork should not have reached you cold, and it is not on you to have flagged it at the time, so I am not going to ask why you didn't. That plate sat on the pass while a table of twelve went out, which is a service problem and not a kitchen one. The pass is split between the two sections from this week. Ring the restaurant and ask for me and dinner is on us next time. Callum, General Manager, Bramble & Rye

The instinct to write "we wish you had told us at the time" is strong and always wrong in public. It reads as blame. Take the point, name where the failure sat, and leave the invitation unattached to the review.

A booking or a function that went wrong

Thanks for writing, Ellery. Fourteen people booked six weeks out and then split across two rooms on the night is not a mix-up, it is us not reading our own diary. The function sheet now goes to the floor manager on the Monday of that week instead of the morning of, so a room can be held properly. Your deposit went back to the card that paid it on Tuesday. If you will let us have the birthday next year, ask for me and I will run it myself. Tam, Floor Manager, Bramble & Rye

Booking failures produce the angriest reviews a venue gets, because the guest planned around you and told other people to come. The refund goes before the apology, and the process change is what stops the next one. More of what a reply should never say is in examples of bad reviews.

Give the floor the credit, inside the rule you just read

Guests name people. "Marianne looked after us all night" is the most common shape a five-star restaurant review takes, and it is worth more to the person named than any roster note.

There is a rule sitting under the on-premises one that almost nobody in hospitality has read. In the screenshot above, Google lists among the things merchants may not do "requesting that staff solicit a certain number of reviews" and "requesting that staff solicit reviews that include specific content, including content that identifies a staff member". A target of ten reviews a shift is out. So is asking guests to mention Marianne by name.

What is left is arithmetic you do afterwards. Give each person their own review link or QR code and the reviews arriving through it are counted to them, with nothing asked of the guest. Cloutly reads it that way on its staff recognition board, and where there is no personal link it falls back to matching names in the review text and says so in the product: name matching fills the gaps, it can credit the wrong person, and it can miss a review that names nobody.

That caveat is the useful part. Two Georges on the floor and no review text will tell them apart. Personal links fix that, and a board read out at a Monday briefing beats one nobody opens.

Read every venue's reviews for the theme, not the score

A rating tells you something is wrong. It never tells you what. Hospitality reputation management at more than one venue is mostly the work of turning a few thousand reviews into the two or three things worth fixing this month.

Do it by counting rather than by feel. Take a quarter of reviews per venue, count how many mention each recurring complaint, and put those counts beside each venue's total review count so a busy site is not punished for volume. Look for a theme heavy at one venue and light at the others: that is an operational difference you can go and stand in, rather than a fact about your food.

Cloutly does this as Signals, against ten hospitality themes: Food & drink, Service, Bookings & entry, Price & value, Cleanliness, Venue & facilities, Safety, Events & functions, Digital & contact, and Other. It reads by venue as well as by theme, carries the denominator on every number and a verbatim quote under every signal, and marks a venue with too few reviews in the window as thin instead of pretending the number means something. Our team switches it on for an account rather than you enabling it yourself, so ask us.

Restaurant reputation management across a group

Nothing above gets harder at four venues. It gets repetitive, which is a different problem with a different fix.

Each venue has its own Google Business Profile, its own Facebook Page and its own Tripadvisor listing with its own identity check. No single reply box answers for a group, and a tool claiming otherwise is describing an inbox rather than a shortcut. What you can standardise is the ask: same trigger, same delay, same wording, so a guest at your newest site gets the same message at the same point as a guest at your first. Merivale is one of the restaurant groups that manages its reviews in Cloutly.

Decide who replies before you roll anything out. Head office replying to everything is consistent and reads like a call centre. The venue replying to everything is warm and stops dead in a busy December. What survives is the venue manager replying, with head office writing the four or five answers to the complaints that repeat and checking they go out. The argument in full, league table included, is in multi-location review management.

Frequently asked questions

How do restaurants get more Google reviews?

By asking every guest the same way, shortly after the bill or the next morning, with the ask hung off something automatic like the till rather than a person remembering. Google encourages asking and suggests a link or a QR code. It bans incentives, and it bans sorting guests by how happy they are.

Can a restaurant ask for a review at the table?

Not by standing over the guest. Google's policy says merchants should not require or pressure users to leave reviews while on the premises, or ask for specific content. A QR code on the bill folder that the guest uses later is fine. A server waiting while they type is not.

Should a restaurant reply to every review?

Reply to every negative one, and to positive reviews that name a person or a dish. Answering everything is a nice ambition and the first thing to lapse in December. Write your Tripadvisor responses when you are calm, because you cannot edit one after it publishes, only delete it and start again.

Who should reply to reviews in a restaurant group?

The venue manager, with head office writing the standard answers to the complaints that repeat and checking the replies go out. Head office replying to everything reads like a call centre, and the venue replying alone stops during service peaks. Splitting it survives both.

Reviews - Blog | Cloutly | Reviews, Reputation and Digital Marketing Insights

How to add Google reviews to Squarespace (code block)

Which Squarespace plan do you need to add Google reviews?

Squarespace has no Google reviews feature

Code block, embed block or code injection

Fluid Engine or the classic editor: where the block can go

How to add Google reviews to Squarespace, step by step

Why your review block is blank

Stars, filtering, and keeping the block current

FAQ

How to add Google reviews to a Wix website (no app needed)

Wix has no Google reviews element

Route 1: an app from the Wix App Market

Route 2: a Google reviews widget for Wix, as one HTML snippet

What Wix's Embed HTML element does to your widget

It is an iframe, and it will not resize itself

HTTPS only

You do not need Velo, and you do not want a custom element

Do you need a paid Wix plan to embed Google reviews?

How to add Google reviews to a Wix website, step by step

Wix Studio puts it under a different menu

The mobile version is a second job

Keeping the block honest, and current

FAQ

AI search optimization for local businesses: how ChatGPT, Gemini and Google decide who gets named

What AI search optimization means, and whether GEO and AEO are different

How AI search works for local businesses: the five surfaces

The inputs all five have in common

What does not work

AI answers send fewer people to your site. Being named is the point.

How to get found in AI search: the monthly check

Where to start

Where to go deeper

Frequently asked questions

Does AI search replace my Google Business Profile?

Which assistant should I care about most?

How long before any of this changes an answer?

Do I need a separate version of my website for AI?

AI and Google reviews: do they change what AI says?

AI and Google reviews: which assistants document reviews as an input

How AI reads reviews: the nouns are the point

Do review volume and recency change what AI says?

Your replies are text too

The tactics that do not work, in Google's own words

What to do instead

Frequently asked questions

Does ChatGPT use Google reviews?

How many reviews do I need before AI recommends my business?

Do reviews written by AI help?

Do old reviews stop counting?

Does ChatGPT recommend businesses like yours? How to check

How does ChatGPT recommend local businesses?

Gemini and Perplexity get their answers somewhere else

Does ChatGPT recommend businesses based on reviews?

Can you pay ChatGPT to recommend your business?

How to test whether ChatGPT recommends your business

What changes when you ask every customer for a review

FAQ

Google review link: how to get it, and where to put it

How to get your Google review link

Building the link from a Place ID

Short links, QR codes and the g.page name you cannot get any more

Where to put your Google review link

The link is an invitation, not a gate

What your customer has to do on their side

If you have more than one location

When the Google review link does not work

It opens the wrong business

The customer says they reviewed you and you cannot see it

The QR code will not scan

Nothing arrives at all

FAQ

Google reviews widget for WordPress: plugin or no plugin

Plugin or snippet: the actual difference

What a WordPress Google reviews plugin gives you

Site Kit is not a reviews plugin

What a Google reviews plugin for WordPress costs you

How to add a Google reviews widget to WordPress without a plugin

The unfiltered_html trap, and why it bites franchises

Block editor, classic editor and page builders

The `unfiltered_html` trap, and why it bites franchises