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.
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