Review pages could be especially useful when buyers ask about other people's experiences. We wanted to know whether AI cites them more often in those questions than in general buying advice.
We examined 7,434,246 cited page links from ChatGPT Search and Google AI Mode between May 24 and August 19, 2026. We compared pages carrying review labels across questions about reviews, ratings, or feedback and the remaining questions.
Review-labeled pages supplied 14.9% of cited links when questions asked for reviews, ratings, testimonials or feedback, versus 2.8% elsewhere. Start a review strategy with the buyers seeking that evidence.
Review questions draw on a different mix of pages
Review-focused questions produced 16,157 review-labeled links out of 108,359. Other questions produced 205,238 out of 7,325,887: 14.9% versus 2.8%.
That comparison is more useful for a review strategy than the 3.0% share across all questions. It tells you where to look for the evidence buyers ask for.
Share of cited links by question wording
- Review-focused prompts14.9%
- Other prompts2.8%
A review can test one product or compare a whole category
The leading examples included TechRadar reviews of Ahrefs and Dynatrace, an AI visibility tools review, and consumer buying guides. Review-labeled content also appeared on videos and review directories.
Those formats do different jobs. Inspect the exact page and the claims it supplies before deciding whether a directory profile, independent test or detailed comparison is relevant to your market.
Most-cited review-labeled pages
Links · 8 results
- Ahrefs SEO platform review1,163
- Dynatrace observability platform review975
- AI visibility tracking tools reviews442
- Sustainable and organic cotton jeans review403
- Personal project management tools review402
- Oxylabs review398
- Observability platforms reviews377
- Infrastructure monitoring tools reviews315
Explore the data (8 rows)
| Ahrefs SEO platform review | TechRadar | 1,163 | 96 |
| Dynatrace observability platform review | TechRadar | 975 | 99 |
| AI visibility tracking tools reviews | Position Digital | 442 | 60 |
| Sustainable and organic cotton jeans review | The Good Trade | 403 | 30 |
| Personal project management tools review | ICAgile | 402 | 44 |
| Oxylabs review | TechRadar | 398 | 33 |
| Observability platforms reviews | Gartner | 377 | 46 |
| Infrastructure monitoring tools reviews | Gartner | 315 | 39 |
Look for the questions where buyers want outside judgment
Identify the review and comparison questions that matter to your category. Read the cited pages for recurring strengths, weaknesses and outdated claims. Prioritize the sources that repeatedly reach those questions.
Use that evidence to improve your product explanation and address real objections. A large review count alone does not tell you whether the answer presents your brand favorably.
What the page labels count
Review pages are identified by review labels in the title or address. This includes several kinds of review and may capture annual or scholarly reviews; unlabeled reviews can be missed. The study measures citation presence, not review quality, ratings or commercial impact.
How we measured
We analyzed 7,434,246 cited-page links across 3,159,290 cited pages and 503,370 websites in 701,353 AI answers to 18,107 organic prompts on ChatGPT Search and Google AI Mode from May 24 through August 19, 2026.
- of cited answers included a review-labeled page
- 20.0%
140,354 of 701,353
Get the data
Sources
- Seer Interactive: How review profiles shape brand visibility in AI search · accessed August 29, 2026
- G2: 2026 AI search insight report · accessed August 29, 2026
- Ahrefs: Self-promotional best lists in ChatGPT · accessed August 29, 2026
- Semrush: Why 62% of AI citations do not lead to brand mentions · accessed August 29, 2026