How to Collect and Mark Up Customer Reviews for AI and Search

How do customer reviews influence AI answers, and how should review data be marked up with schema?

AI assistants synthesize third-party customer reviews to evaluate business reputation and formulate recommendations. Gather verified reviews across industry platforms, and mark up reviews shown on your own product or service pages with Review or AggregateRating schema, following Google’s review snippet rules.

Why It Matters

Conversational AI chatbots rely heavily on customer sentiment summaries when responding to "best provider" queries. Displaying structured review data confirms service quality to both AI engines and human prospects.

AggregateRating Schema Attributes

Implement AggregateRating schema detailing ratingValue, reviewCount and bestRating for reviews collected and displayed on your own page. Don’t copy ratings from Google or Trustpilot into your markup, and note that Google ignores star markup a business adds about itself on its homepage or LocalBusiness/Organization markup (self-serving reviews).

Multi-Platform Review Collection

Actively gather verified reviews across Google, Trustpilot, G2, and Capterra to establish widespread brand sentiment signals that AI tools parse during recommendation queries.

On-Page Review Integration

Display authentic customer feedback and star ratings on commercial landing pages alongside structured markup to reinforce trust for both human buyers and search engines.