Review Sites and AI Recommendations: How G2, Trustpilot and Google Reviews Shape What ChatGPT Suggests

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How should you use AI in your marketing?

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How do you use AI today?

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The link between review sites and AI recommendations is now direct. When someone asks ChatGPT for the best CRM for a small agency, or Gemini for a good Italian restaurant near the station, the assistant looks for pages that compare options and show what customers think. Review platforms do exactly that, in a structured format that is easy to quote. The software review market is betting on it: when G2 announced the acquisition of Capterra, Software Advice and GetApp from Gartner on January 29, 2026, it presented their combined 6 million verified reviews as a data foundation "for the age of AI". This guide uses our citation studies to separate what review sites really weigh from what is marketing, then shows how to work on them without breaking any rule.

Why do AI assistants rely on review sites?

Three properties make review platforms attractive to a model that has to recommend a supplier in a few lines.

1. They match the intent. "Best", "reliable", "near me" and "alternatives to" questions are comparisons, and a review page is a comparison already written by customers.
2. They are independent. A brand's site says the brand is good; a rating built from hundreds of customers is a third-party signal. Assistants trust what several independent sources agree on, which is what entity consensus describes.
3. They are structured and dated. A score, a number of reviews, recent dates, a category and the company's replies give the model short, checkable facts.

This is also why review sites appear in every model's citations, whereas most other sources are strong on one or two assistants only. Our study of the platforms AI assistants cite found that only 6 platforms are cited by all five models measured.

Which review sites do ChatGPT, Gemini, Perplexity and Claude cite?

The figures below come from our panel of buyer questions, sent every month to five assistants between August 2025 and August 2026 (301,025 answers). A citation rate of 2% means the source was cited in 2 answers out of 100.

The average hides large gaps between models. The Trustpilot study and the TripAdvisor study give the rate for each assistant:

Two trends stand out. Trustpilot moved from 0.24% of answers in August 2025 to a peak of 4.21% in June 2026: the models started to treat aggregated review pages as answer material during the period. And in Claude, which cites few sources per answer, Trustpilot is still the most cited platform, as our guide on ranking in Claude explains.

Do G2 and Capterra help you get recommended by ChatGPT?

Yes, but less than their marketing suggests, and mostly indirectly. In our directories study, g2.com is cited in 0.27% of answers, behind a French agency directory (sortlist.fr, 2.06%) and on par with Clutch. Capterra does not appear in the published ranking. Our panel covers many service and consumer questions, so B2B software is under-represented, and a SaaS company should read these figures as a floor.

The more important effect is indirect. To answer "best project management software for a small team", ChatGPT, Gemini and Copilot run several web searches and read the pages that rank for them. G2 and Capterra category pages often rank on those searches, so they feed the answer even when the final text cites a review article or the vendor's own site. Our guide on how AI assistants choose their sources details this retrieval step. For a software company, a complete G2 or Capterra profile with recent reviews is therefore one piece of corroboration among others, alongside comparison articles, documentation and a clear pricing page.

The only reliable way to know is to test your own category. Sorank's AI mention tracking runs your buyer questions every week and lists the sources each answer cites, so you can see whether G2, Capterra or Trustpilot pages appear for your market.

How do Google reviews and TripAdvisor affect local recommendations?

For local businesses, Google reviews matter first. Google states in its help center that local results are based on relevance, distance and prominence, and that more reviews and positive ratings can help a business's local ranking. Gemini and Google's AI Overviews rely on the same Business Profile and Maps data, so reviews there reach AI answers without always appearing as a cited link: a citation count understates them. Our guides explain how to get more Google reviews legitimately and how to respond to Google reviews.

TripAdvisor is the clearest example of a platform whose average says nothing. It is cited in 1.08% of all answers, but in 14.27% of food and beverage answers and 13.2% of travel answers. For a restaurant or a hotel, the review profile is often the page the models read, more than the business's own website.

How do you build a review presence that AI assistants trust?

1. Find the platforms your buyers' assistants cite

List 20 to 30 questions your customers ask before choosing a supplier, run them in the assistants they use, and note which review platforms appear. A GEO leaderboard shows which competitors and sources are cited in your place. Focus on the two platforms that lead, rather than opening ten thin profiles.

2. Claim and complete each profile

Fill in the description, category, services, area served, hours and links, with the same wording as your website. The models compare these texts; a profile that contradicts your site weakens the consensus.

3. Ask every customer, all year round

Send a neutral review request to every customer after each purchase or visit, not only to the happy ones and not in seasonal bursts. Recency shows in what the assistants quote, and a steady flow looks natural to the platforms' detection systems.

4. Answer reviews in full sentences

Replies are part of the readable text. A factual answer to a negative review (what happened, what changed) gives the model a balanced picture instead of an unanswered complaint.

5. Mirror the proof on your own site

Quote real testimonials, link to your public profiles and show your rating with its source. If you add structured data, follow Google's limits on self-serving reviews explained in our guide to review schema.

6. Equip yourself when volume grows

Beyond a few dozen reviews a month or several locations, a dedicated tool saves time on requests, alerts and replies. Our comparison of the best review management software covers the main options.

What is forbidden, and what does it risk?

Fake or filtered reviews are not a shortcut to AI visibility. They break the law in many countries and the rules of every major platform, and the sanctions themselves become visible to the models.

The FTC's final rule on fake reviews, announced in August 2024, allows civil penalties against knowing violators. Google's policy on fake engagement forbids incentives, selective solicitation and review quotas imposed on staff. Trustpilot's guidelines for businesses require fair, neutral invitations without incentives. In France, the DGCCRF checks review practices and the consumer code requires sites that publish reviews to say whether and how they are verified.

What do review sites change for SEO and GEO?

Review platforms rank on Google for "best", "reviews" and "near me" searches, and the same pages are retrieved by the assistants when they search the web. Working on them helps both channels at once, and our guide to online reputation management covers the rest of your branded results. The rule is simple: genuine, recent and complete reviews on the platforms your sector's assistants cite are worth more than a high score anywhere else. Measure which platforms appear on your questions, act on those, and re-measure every quarter. To track your mentions and the sources cited across ChatGPT, Gemini, Claude, Perplexity and Grok, compare the plans on the Sorank pricing page.