{"id":14719,"date":"2024-05-07T15:39:55","date_gmt":"2024-05-07T10:09:55","guid":{"rendered":"https:\/\/blogs.digipanda.co.in\/?p=14719"},"modified":"2026-11-03T19:27:48","modified_gmt":"2026-11-03T13:57:48","slug":"is-ai-taking-over-reviews-amazons-new-feature-explained-and-how-to-use-it","status":"publish","type":"post","link":"https:\/\/digipanda.co.in\/blogs\/is-ai-taking-over-reviews-amazons-new-feature-explained-and-how-to-use-it\/","title":{"rendered":"AI Review Summaries on Amazon and Google: How Sellers Should Respond"},"content":{"rendered":"<p><strong>Short answer:<\/strong> Amazon and Google now show shoppers AI-generated summaries of customer reviews. Amazon&#8217;s &#8220;Customers say&#8221; highlights come from verified-purchase reviews where several customers share an opinion; Google Maps shows Gemini-written summaries for places. Sellers can&#8217;t edit either. You shape them by earning more genuine reviews and fixing the problems customers keep mentioning.<\/p>\n\n<p>A shopper lands on your product page and, before reading a single review, sees one AI-written paragraph saying &#8220;several customers mention the zip breaks&#8221;. That paragraph may now be the first, and sometimes the only, impression of what your customers think.<\/p>\n\n<p>This guide is for Amazon sellers, D2C brands and local businesses. Based only on what Amazon and Google have published, it explains how each feature works, why recurring themes matter more than single reviews, how to earn more reviews within platform rules and consumer law, and how to make negative themes fade for the right reasons.<\/p>\n\n<h2>What are AI review summaries?<\/h2>\n\n<p>AI review summaries are short, machine-written paragraphs that condense what many customers have said about a product or place. Instead of reading dozens of reviews, a shopper sees the common praise and complaints in a few lines, often with clickable themes such as &#8220;ease of use&#8221; or &#8220;value for money&#8221;.<\/p>\n\n<p>They matter because they sit at the top of the review section, above every individual review.<\/p>\n\n<h2>How do Amazon&#8217;s AI review highlights work?<\/h2>\n\n<p>Amazon&#8217;s review highlights are an AI-generated paragraph, introduced under a &#8220;Customers say&#8221; prompt, that summarises positive, neutral and negative opinions about a product. According to <a href=\"https:\/\/www.aboutamazon.com\/news\/amazon-ai\/amazon-ai-generated-review-highlights\">Amazon&#8217;s own explainer<\/a>, the highlights use text-based reviews from Amazon Verified Purchases, and multiple customers must share the same opinion before a highlight is generated.<\/p>\n\n<p>Amazon <a href=\"https:\/\/www.aboutamazon.com\/news\/amazon-ai\/amazon-improves-customer-reviews-with-generative-ai\">announced the feature in August 2023<\/a> as a test for a subset of US mobile shoppers. Amazon now says review highlights are available to customers in the US, UK, Australia, India, Singapore and the United Arab Emirates.<\/p>\n\n<p>Here is what shoppers see and can do:<\/p>\n\n<ul>\n<li><strong>A summary paragraph<\/strong> in the customer reviews section, labelled as AI-generated.<\/li>\n<li><strong>Clickable product features<\/strong> drawn from reviews. Amazon marks each with a green tick when feedback is mostly positive, an orange minus when it is mostly negative, and grey when neither view dominates.<\/li>\n<li><strong>Feature detail<\/strong>: selecting a feature shows how often it was mentioned, how many mentions were positive and negative, and snippets from the reviews behind it.<\/li>\n<li><strong>No summary at all<\/strong> when a product doesn&#8217;t yet have enough reviews with shared mentions.<\/li>\n<\/ul>\n\n<p>Two points follow for sellers. First, only verified-purchase written reviews count, so star-only ratings and unverified reviews don&#8217;t shape the paragraph. Second, a single angry review won&#8217;t define your summary, but a complaint that several customers repeat probably will.<\/p>\n\n<h2>How do Google Maps AI review summaries work?<\/h2>\n\n<p>Google Maps shows AI-generated review summaries for places, written with Gemini. Google <a href=\"https:\/\/blog.google\/products\/maps\/gemini-google-maps-navigation-updates\/\">announced on 31 October 2024<\/a> that Maps users could &#8220;find out what people like about a place&#8221; from a review summarised with Gemini, starting in the US on Android and iOS, with similar AI review summaries coming to Search.<\/p>\n\n<p>Google&#8217;s help page on <a href=\"https:\/\/support.google.com\/local-listings\/answer\/9851099?hl=en\">how it sources and uses information in local listings<\/a> explains how these summaries are built: Google &#8220;uses AI to analyze people&#8217;s reviews on a place and compile a helpful summary highlighting common sentiment and tips.&#8221; Each summary is based on reviews from the past year, is updated regularly, and may show how many reviews were used.<\/p>\n\n<p>Google has since gone further. In March 2026 it launched <a href=\"https:\/\/blog.google\/products-and-platforms\/products\/maps\/ask-maps-immersive-navigation\/\">Ask Maps<\/a>, a conversational Gemini feature rolling out in the US and India that answers detailed questions about places. Google says it draws on information about more than 300 million places and reviews from a community of more than 500 million contributors. The <a href=\"https:\/\/blog.google\/intl\/en-in\/products\/explore-communicate\/ask-anything-about-any-place-on-maps-with-gemini\/\">Google India announcement<\/a> describes it surfacing &#8220;insights and insider tips from real people and web content&#8221;, such as popular dishes and parking.<\/p>\n\n<p>For a restaurant, clinic, showroom or salon, this means review text now feeds AI answers as well as star ratings. A customer asking Maps &#8220;Is there parking?&#8221; or &#8220;Is it good for families?&#8221; may get an answer built from what your reviewers wrote.<\/p>\n\n<h2>How do Amazon and Google review summaries compare?<\/h2>\n\n<table>\n<thead>\n<tr><th><\/th><th>Amazon review highlights<\/th><th>Google Maps review summaries<\/th><\/tr>\n<\/thead>\n<tbody>\n<tr><td>Where it appears<\/td><td>Customer reviews section of product pages, under &#8220;Customers say&#8221;<\/td><td>Place listings in Google Maps; reviews also inform Ask Maps answers<\/td><\/tr>\n<tr><td>What it&#8217;s built from<\/td><td>Text reviews from Amazon Verified Purchases<\/td><td>People&#8217;s reviews of the place from the past year<\/td><\/tr>\n<tr><td>When it appears<\/td><td>Only when multiple customers share the same opinion<\/td><td>Not specified; summaries are updated regularly<\/td><\/tr>\n<tr><td>Extra detail for shoppers<\/td><td>Clickable features with positive\/negative counts and review snippets<\/td><td>The number of reviews used may be shown<\/td><\/tr>\n<tr><td>Availability (as published by each company)<\/td><td>US, UK, Australia, India, Singapore, UAE<\/td><td>Launched in the US in 2024; Ask Maps rolling out in the US and India from March 2026<\/td><\/tr>\n<tr><td>Can the business edit it?<\/td><td>No public option documented<\/td><td>No public option documented<\/td><\/tr>\n<\/tbody>\n<\/table>\n\n<h2>What drives what the AI summary says?<\/h2>\n\n<p>The summary reflects recurring themes in recent, genuine review text. Based on what both companies have published, three things shape it:<\/p>\n\n<ol>\n<li><strong>Repetition.<\/strong> Amazon only creates a highlight when multiple customers share an opinion, and Google says its summaries highlight &#8220;common sentiment&#8221;. One-off comments matter less than patterns.<\/li>\n<li><strong>Written detail.<\/strong> Amazon uses text-based reviews. A review that says &#8220;fits true to size, the zip broke after two weeks&#8221; gives the AI far more to work with than five stars and no words.<\/li>\n<li><strong>Recency.<\/strong> Google bases each summary on the past year of reviews. Fix a problem and keep earning reviews, and older complaints should carry less weight over time. Amazon hasn&#8217;t published a time window.<\/li>\n<\/ol>\n\n<p>Because the summary mirrors your customers, the reliable way to change it is to change the experience they describe. No prompt, tag or hidden field lets you rewrite it.<\/p>\n\n<h2>How can you get more reviews without breaking the rules?<\/h2>\n\n<p>Ask every customer, at the right moment, through approved channels, without incentives or filtering. Volume of genuine written reviews is what gives AI summaries an accurate picture, but the rules are strict, and breaking them can cost you far more than a weak summary.<\/p>\n\n<h3>Review rules on Google, Amazon and in US law<\/h3>\n\n<ul>\n<li><strong>Google:<\/strong> Google&#8217;s <a href=\"https:\/\/support.google.com\/contributionpolicy\/answer\/7400114?hl=en\">Maps user-generated content policy<\/a> prohibits offering money, discounts or free goods in exchange for a review, discouraging negative reviews, &#8220;selectively soliciting positive reviews&#8221;, reviews from employees or others with a conflict of interest, and setting staff quotas for review requests.<\/li>\n<li><strong>Amazon:<\/strong> Amazon says it <a href=\"https:\/\/trustworthyshopping.aboutamazon.com\/focus\/trustworthy-reviews\">prohibits fake reviews<\/a> and screens reviews before they appear. Amazon reports it proactively blocked &#8220;hundreds of millions&#8221; of suspected fake reviews in 2025, according to its <a href=\"https:\/\/www.aboutamazon.com\/news\/policy-news-views\/amazon-trustworthy-shopping-experience-report-2025\">2025 Trustworthy Shopping Experience report<\/a>. Read the customer product reviews policy in your Seller Central account before you contact buyers.<\/li>\n<li><strong>US law:<\/strong> The US Federal Trade Commission&#8217;s <a href=\"https:\/\/www.ftc.gov\/news-events\/news\/press-releases\/2024\/08\/federal-trade-commission-announces-final-rule-banning-fake-reviews-testimonials\">rule on fake reviews and testimonials<\/a>, announced on 14 August 2024, bans fake reviews (including AI-generated ones), incentives conditioned on a positive or negative sentiment, undisclosed insider reviews and review suppression through threats or intimidation. If you sell to US customers, this applies to you.<\/li>\n<\/ul>\n\n<h3>Allowed ways to earn more reviews<\/h3>\n\n<table>\n<thead>\n<tr><th>Platform<\/th><th>Do<\/th><th>Don&#8217;t<\/th><\/tr>\n<\/thead>\n<tbody>\n<tr><td>Google Business Profile<\/td><td>Share your <a href=\"https:\/\/support.google.com\/business\/answer\/3474050?hl=en\">review request link or QR code<\/a> with every customer, on receipts, follow-up messages and in store<\/td><td>Send the link only to happy customers, offer a discount for a review, or have staff review the business<\/td><\/tr>\n<tr><td>Amazon<\/td><td>Use Amazon&#8217;s own review request tools; for eligible new products, consider <a href=\"https:\/\/sell.amazon.com\/tools\/vine\">Amazon Vine<\/a>, where Amazon-invited reviewers receive free products and share &#8220;honest, unbiased opinions&#8221;<\/td><td>Buy, write or arrange fake reviews, offer anything in return for a positive review, or ask buyers to change a review; check the exact rules in Seller Central before contacting buyers<\/td><\/tr>\n<tr><td>Both<\/td><td>Ask at the moment the customer has experienced the product or service, and make it easy<\/td><td>Script what customers should say or post reviews on their behalf<\/td><\/tr>\n<\/tbody>\n<\/table>\n\n<p>On both platforms, ask customers to mention what mattered to them, such as fit, delivery, staff or results, without suggesting what they should say. Specific, honest reviews give the AI clearer themes. For a full playbook on Google, see our guide on <a href=\"\/blogs\/how-to-get-more-google-reviews\">how to get more Google reviews<\/a>.<\/p>\n\n<h2>How should you handle negative themes in an AI summary?<\/h2>\n\n<p>Treat a negative theme as a product or service problem to fix, not a message to bury. If the summary says &#8220;several customers mention the strap breaks&#8221;, the strap is the problem. Here is a practical process:<\/p>\n\n<ol>\n<li><strong>Read the reviews behind the theme.<\/strong> On Amazon, click the feature marked with an orange minus to see how often it&#8217;s mentioned and the snippets behind it. On Google, read your recent reviews for repeated words.<\/li>\n<li><strong>Separate fixable from unfixable.<\/strong> Sizing, packaging, instructions, delivery times and staff behaviour are usually fixable. A complaint that a premium product is &#8220;expensive&#8221; may simply be a trade-off to explain better.<\/li>\n<li><strong>Fix the root cause.<\/strong> Change the product, supplier, packaging or process. This is the only change that will eventually show up in new reviews.<\/li>\n<li><strong>Correct expectations on your listing.<\/strong> If customers say &#8220;smaller than expected&#8221;, add dimensions, a size chart or a comparison photo.<\/li>\n<li><strong>Respond and resolve.<\/strong> On Google, verified owners can reply publicly; replies appear under your business name, Google checks them against its content policies, and customers can still edit their review afterwards. On Amazon, the company says its <a href=\"https:\/\/sell.amazon.com\/blog\/customer-product-reviews\">Customer Reviews tool<\/a> lets eligible brands contact customers who leave a rating below three stars to offer a full refund or ask for more information.<\/li>\n<li><strong>Keep earning reviews.<\/strong> New reviews from customers who received the improved product are what shift the pattern. On Google, older reviews drop out of the summary&#8217;s one-year window.<\/li>\n<li><strong>Report reviews that break the rules.<\/strong> Fake reviews, competitor reviews or abusive content can be flagged through each platform&#8217;s reporting tools. Genuine negative reviews can&#8217;t, and shouldn&#8217;t, be removed.<\/li>\n<\/ol>\n\n<h3>How to reply to a negative review<\/h3>\n\n<p>Keep it short, specific and calm. Acknowledge the problem, apologise where you got it wrong, explain what you&#8217;ve done or offer a way to sort it out privately, and avoid sharing personal details. Future customers read your reply as evidence of how you treat people when things go wrong.<\/p>\n\n<blockquote>Thanks for telling us, and sorry the strap broke so soon. That&#8217;s not the standard we aim for. We&#8217;ve switched to a stronger buckle on all new stock. Please contact us at [support channel] with your order number and we&#8217;ll replace it.<\/blockquote>\n\n<p>Never offer something in exchange for removing or changing the review. Google&#8217;s policy and the FTC rule both prohibit incentives tied to review sentiment.<\/p>\n\n<h2>What if you have too few reviews for an AI summary?<\/h2>\n\n<p>It is a real disadvantage: a product or place with too few written reviews may not get an AI summary at all, and a small number of reviews makes each repeated complaint more prominent. Amazon says highlights may not appear when a product lacks enough reviews with shared mentions.<\/p>\n\n<p>For new products, build review generation in from launch: Vine for eligible Amazon products, review requests to every buyer, and a consistent post-purchase follow-up. Messaging channels help here. A short WhatsApp or email follow-up a few days after delivery, sent to every customer and with no incentive, is a compliant way to remind people. Our <a href=\"\/products\/sandesh\">Sandesh<\/a> product handles WhatsApp customer conversations if you want to automate that step.<\/p>\n\n<h2>How do reviews shape AI search answers about your business?<\/h2>\n\n<p>Review summaries are one example of a broader shift: AI systems increasingly describe your business to customers using what others have written about you. The same reviews may inform Google Maps answers, shopping assistants and AI search tools.<\/p>\n\n<p>That makes reputation management less about responding to individual reviews and more about the overall pattern of what customers say, across platforms, over time. It&#8217;s also why consistent business information and genuine third-party mentions help you show up accurately in AI answers. Our <a href=\"\/blogs\/geo-checklist-ai-search-optimization\">GEO checklist<\/a> covers the wider AI search side.<\/p>\n\n<h2>Frequently asked questions<\/h2>\n\n<h3>Can I edit or remove the AI summary of my reviews?<\/h3>\n<p>Neither Amazon nor Google documents a way for sellers or business owners to edit or remove AI review summaries. The summaries are generated from customer reviews, so the way to change them is to change the reviews over time: fix recurring problems, set accurate expectations in your listing and keep asking every customer for honest feedback. You can report individual reviews that break platform rules.<\/p>\n\n<h3>Do star-only ratings affect Amazon&#8217;s review highlights?<\/h3>\n<p>Amazon says review highlights are generated from text-based reviews from Amazon Verified Purchases. Star-only ratings still count towards your overall rating, but they don&#8217;t give the AI written opinions to summarise. If your highlights are missing or thin, the product may not yet have enough written reviews in which multiple customers mention the same features.<\/p>\n\n<h3>Are Amazon review highlights available in India?<\/h3>\n<p>Yes. Amazon lists India among the countries where review highlights are available, alongside the US, UK, Australia, Singapore and the United Arab Emirates. Indian sellers should therefore treat recurring review themes as visible to shoppers on product pages, and read their listings&#8217; &#8220;Customers say&#8221; section regularly to catch negative themes early.<\/p>\n\n<h3>Can I offer a discount or gift for leaving a review?<\/h3>\n<p>No. Google&#8217;s Maps content policy prohibits offering money, discounts or free goods or services in exchange for reviews, and Amazon prohibits fake reviews; check its customer product reviews policy in Seller Central before contacting buyers. In the US, the FTC&#8217;s rule bans incentives conditioned on a review expressing a particular sentiment. Ask every customer for honest feedback without a reward instead.<\/p>\n\n<h3>How long does it take for a negative theme to leave the summary?<\/h3>\n<p>Neither company publishes a timeline. Google says its local review summaries are based on reviews from the past year and are updated regularly, so a fixed problem should matter less as newer reviews replace older ones. Amazon hasn&#8217;t published a time window. In both cases, the speed depends on how many new reviews you earn after the fix.<\/p>\n\n<h3>Can AI-written reviews from customers be a problem?<\/h3>\n<p>Fake reviews generated by AI are a problem for any business that buys, writes or solicits them. The FTC&#8217;s rule specifically covers AI-generated fake reviews, and both Amazon and Google prohibit fake engagement. A genuine customer using a tool to help phrase their own honest review is a different matter. Your job is never to supply or script review text.<\/p>\n\n<p>If negative themes are showing up in your AI review summaries, or you want a compliant system for earning more reviews across Google and Amazon, our <a href=\"\/online-reputation-management\">online reputation management team<\/a> can help.<\/p>","protected":false},"excerpt":{"rendered":"<p>Amazon&#8217;s &#8220;Customers say&#8221; highlights and Google Maps&#8217; Gemini review summaries now shape first impressions. Here&#8217;s how they work, what drives them, and how to earn better reviews and handle negative themes without breaking platform rules.<\/p>\n","protected":false},"author":1,"featured_media":14720,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[32,215,31],"tags":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/blogs.digipanda.co.in\/blogs\/wp-json\/wp\/v2\/posts\/14719"}],"collection":[{"href":"https:\/\/blogs.digipanda.co.in\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.digipanda.co.in\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.digipanda.co.in\/blogs\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.digipanda.co.in\/blogs\/wp-json\/wp\/v2\/comments?post=14719"}],"version-history":[{"count":8,"href":"https:\/\/blogs.digipanda.co.in\/blogs\/wp-json\/wp\/v2\/posts\/14719\/revisions"}],"predecessor-version":[{"id":15385,"href":"https:\/\/blogs.digipanda.co.in\/blogs\/wp-json\/wp\/v2\/posts\/14719\/revisions\/15385"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.digipanda.co.in\/blogs\/wp-json\/wp\/v2\/media\/14720"}],"wp:attachment":[{"href":"https:\/\/blogs.digipanda.co.in\/blogs\/wp-json\/wp\/v2\/media?parent=14719"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.digipanda.co.in\/blogs\/wp-json\/wp\/v2\/categories?post=14719"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.digipanda.co.in\/blogs\/wp-json\/wp\/v2\/tags?post=14719"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}