How to get your reviews noticed by AI models
Increase your review volume and visibility so AI models reference them when recommending brands in your category.
- 1
Audit your current review presence
Count your reviews across Google, Trustpilot, G2, Capterra, Yelp, and industry-specific platforms. Note your average rating, total count, and recency on each. AI models weigh platforms differently depending on the context.
- 2
Focus on platforms AI models prefer
For B2B brands, G2 and Capterra reviews appear most in AI responses. For local businesses, Google and Yelp dominate. For e-commerce, Amazon and Trustpilot carry the most weight. Prioritise the platforms relevant to your category.
- 3
Build a systematic review request process
Ask for reviews at natural touchpoints - after successful project completion, positive support interaction, or product delivery. Send a follow-up email within 24 hours with a direct link to your preferred review platform.
- 4
Respond to every review
Reply to all reviews - positive and negative - with specific, thoughtful responses. AI models can see these responses and they signal that your brand is active and responsive. Never use generic copy-paste replies.
- 5
Add review schema to your website
Implement AggregateRating and individual Review schema on your product and service pages. Include ratingValue, reviewCount, and author details. Validate with Google Rich Results Test.
- 6
Maintain review velocity
A steady stream of recent reviews matters more than a large number of old ones. Aim for at least 2-4 new reviews per month across your key platforms. AI models weigh recency alongside volume.
See what AI says about your brand
RankSignal.ai scans ChatGPT, Claude, Gemini, Perplexity, and Grok to show how AI models perceive your brand. Try a free scan.
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