AI Review
Optimization
Win the review signals that AI tools read when buyers ask which vendor is best.
By the Numbers
74%
of executives use AI to research B2B vendors
2.4x
faster sales cycles for AI-visible vendors
$0
paid media required — AI citations are earned
Reviews Are AI''s Favorite Citation
When a buyer asks ChatGPT ''what is the best [your category] tool,'' the engine almost always pulls from third-party review sites: G2, Capterra, Trustpilot, Gartner Peer Insights, Reddit threads. Review signals are AI''s favorite citation source because they are public, dated, and written by named users. If your reviews are thin or stale, you lose the AI recommendation slot.
AI review optimization is the work of making sure those review signals actually represent your strengths in language AI tools can parse. It is not buying reviews. It is engineering the conditions that produce good ones at scale.
What we do. We map the exact questions buyers ask AI about your category, then identify which review attributes the engines surface in their summaries. We rebuild your review request flow so that happy customers leave reviews that hit those attributes. We respond to existing reviews in language that reinforces your positioning. And we build canonical Q&A content on your site that mirrors the review themes, so AI engines see consistency between what customers say and what you say.
A few specifics:
- Trigger reviews at peak satisfaction, not at random renewal moments
- Prompt for specific outcomes in the request copy so reviewers mention concrete metrics
- Respond publicly with structured language that AI tools index alongside the original review
- Cross-reference Reddit and community threads because those rank higher in Perplexity than most realize
74% of executives now research vendors using AI tools. When those tools summarize the field, reviews carry disproportionate weight because they pass the engine''s authenticity test. A vendor with 40 thoughtful, recent reviews on G2 beats a vendor with 400 generic ones every time.
Why it compounds. Each round of structured review collection feeds the next AI summary cycle. Within two quarters, the language in your reviews becomes part of how the AI describes your category. That is when you stop chasing visibility and start defining it. Earned, not bought. Be the answer, not just a result.