Yes — and more than most business owners realise. According to Peec AI’s 2026 search analytics report, Trustpilot became the fifth most-cited website on the entire internet by ChatGPT, ahead of most B2B vendors and many major media outlets. A separate May 2026 dashboard from Clutch measured an 8.6x citation lift for verified agency profiles versus unverified ones. If you’ve been pouring effort into your own website’s schema and FAQ sections while ignoring your Trustpilot or G2 profile, you’ve likely been optimising the wrong property.
This matters because of a pattern that’s easy to miss if you’re only thinking about GEO as an on-site exercise: roughly 80–85% of AI citations come from sources that aren’t your own website at all. Your homepage, your blog, your pricing page — all still worth optimising, and all covered in our answer-engine optimisation checklist. But the majority of what determines whether an AI assistant recommends you lives on domains you don’t control: review platforms, forums, comparison sites, and directories.
Which review platform matters depends on which AI you’re trying to reach
This is the part that trips people up: “optimise for AI search” isn’t one task, because the major assistants pull from meaningfully different source pools.
| AI engine | What it leans on most |
|---|---|
| ChatGPT | Wikipedia, YouTube, Reddit, LinkedIn — and Trustpilot specifically among review sites |
| Perplexity | Reddit (cited in an estimated 46.7% of commercial-intent responses), YouTube (~32%) |
| Google AI Overviews / AI Mode | YouTube, Google Maps, Google Shopping, Reddit — a largely separate ecosystem from the other three |
| Claude | A Brave Search-aligned index, weighted toward well-sourced, clearly structured content with visible citations |
Notice that Reddit shows up for both ChatGPT and Perplexity, but for different reasons and at different rates. And Google’s AI surfaces run largely on their own ecosystem — Maps and Business Profile reviews matter enormously there in a way they don’t for ChatGPT. We’ve written separately about tightening up that side of things in our Google Business Profile checklist, and it’s worth treating as a genuinely separate project from general review-platform work rather than the same task twice.
Why do AI models trust review sites more than they trust you?
It comes down to a simple bias built into how these systems are trained and retrieved: independent verification beats self-description. When your website says “we’re the best paid media agency in Finland,” that’s a claim with an obvious incentive problem, and language models are increasingly tuned to discount it. When a third party says the same thing on a platform with its own verification and moderation process, it reads as evidence rather than marketing copy.
The data backs this up more strongly than we expected. One 2026 meta-index measured brand mentions across authoritative third-party sources correlating three times more strongly with AI citation rates than backlinks do — a notable finding given how much SEO effort still goes into link building. It doesn’t mean backlinks are worthless; it means the “vote of confidence” that used to come primarily from another site linking to you increasingly comes from another site simply naming you favourably, with or without a link attached.
Does this mean reviews outrank content quality?
No, and this is where a lot of GEO advice oversimplifies. Review platforms function as a trust signal layer, not a replacement for having genuinely useful on-site content the AI can pull specific facts from. An AI assistant might use Trustpilot to decide you’re a legitimate, well-regarded option, and then pull your actual pricing, service details, or FAQ answers from your own site because that’s where the specific facts live. Weak on either layer limits you: strong reviews but a thin, vague website means you get mentioned without specifics; strong content but no third-party validation means you get cited less often to begin with, because there’s less independent signal that you’re worth mentioning.
Will a few negative reviews hurt you more in AI answers than they do in a normal Google search?
This is usually the real question underneath “should we get on Trustpilot,” and it’s a fair one to ask before you actively invite more public feedback. Our honest read: a handful of negative reviews mixed into a larger set of positive ones is not the risk people assume it is, and in some cases it helps. AI assistants, much like human readers, tend to treat an all-five-star profile with mild suspicion — it reads as curated or incentivised rather than representative. A profile with a strong average, a reasonable volume of reviews, and visible, professional responses to the negative ones tends to read as more credible, not less.
Where it does become a real problem is volume and pattern. A cluster of recent negative reviews describing the same specific issue — billing problems, missed deadlines, a support process that doesn’t work — is a signal an AI model can pick up on just as easily as a human reading the page can, and no amount of GEO tactics fixes that. The honest fix is operational, not technical: solve the underlying issue, then let a normal flow of new reviews reflect the improvement. Trying to suppress or dispute reviews aggressively tends to be far more visible, and far more damaging, than the original complaints ever were.
What should a small business actually do about this?
A practical, non-overwhelming approach:
- Claim and complete your profile on at least one major platform relevant to your category — Trustpilot for most consumer and service businesses, G2 or Capterra if you sell software, Clutch if you’re an agency. A complete profile with a real logo, description, and category tags outperforms a bare-bones one before a single review is even collected.
- Ask for reviews at the moment of highest satisfaction, not in a generic quarterly email blast. Right after a successful project delivery or a support ticket resolved well is when response rates are highest and sentiment is most positive.
- Respond to every review, positive and negative. Response patterns are part of what these platforms expose in their data, and an unanswered negative review sitting for months is a worse signal than the review itself.
- Don’t ignore Reddit if your category has any organic discussion there. You can’t manufacture authentic Reddit presence overnight, but genuinely useful participation in relevant subreddits — answering questions without a hard sales pitch — compounds over time in a way paid placement can’t replicate, particularly for Perplexity.
- Track citations, not just rankings. Traditional rank tracking tools won’t show you whether ChatGPT or Perplexity is mentioning you. Periodically running your own likely customer queries through each assistant remains the most reliable manual check available.
If you want a deeper look at how citation patterns differ specifically for Anthropic’s models, we covered that in our piece on whether Claude cites your website — the short version is that Claude’s more citation-heavy, methodical style rewards structured, well-sourced content even more than the other assistants do, which is one more reason a credible, verifiable Trustpilot or G2 presence pays off across the board rather than for just one platform.
The bottom line
If your GEO strategy starts and ends with your own website, you’re leaving the majority of the opportunity on the table. Review platforms have quietly become some of the most-cited sources on the internet for AI assistants, and unlike a decade of backlink building, getting a handful of detailed, specific reviews on the right platform is a project you can meaningfully move in a single quarter. Treat it as seriously as you treat your on-site content, and pick the platform based on which AI your customers are actually likely to be asking.
Sources: Trustpilot Is Now the 5th Most-Cited Site by ChatGPT (IVRIS Tech, 2026); ChatGPT loves Trustpilot, Perplexity loves Reddit (Consilium Design, 2026).