Review markup describes one review: who wrote it, what it covers, the rating and the review text. It differs from aggregate rating markup, which summarises many reviews.
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Rules to respect
The reviewed item must be eligible, the review must be visible on the page and it must be genuine. Google's guidelines restrict self-serving reviews for local businesses and organisations.
Choosing the right type
Use Review for individual reviews and AggregateRating for the combined score. Use real data from your reviews, not a figure invented for markup.
Common mistakes
Marking up testimonials as independent reviews
Your own site quoting customers is not the same as a third-party review.
Frequently Asked Questions
For eligible types, yes, if they are visible and real. Check the current guidelines on self-serving reviews.
Keep reading
- AggregateRating: AggregateRating summarizes many reviews as an average score and count, and is the markup behind star ratings shown in some Google search results.
- Review Snippet: A review snippet is a Google rich result showing a star rating and review details, driven by Review or AggregateRating markup on supported item types.
- Self-Serving Reviews Rule: Google's self-serving reviews rule stops review stars from showing for LocalBusiness and Organization markup when a business hosts reviews about itself.
- Product Schema: Product schema describes a product with name, image, offers, ratings and reviews, making pages eligible for product snippets and merchant listing experiences.
- Author Markup: Author markup identifies who wrote a piece of content using the author property, linking articles to a Person or Organization with a profile URL.
- ContactPoint schema: ContactPoint schema describes how to reach an organisation, such as a customer support phone number or email.
- Course Schema: Course schema describes an educational course with name, description and provider. Google phased out its course info rich result in 2025.
- DiscussionForumPosting Schema: DiscussionForumPosting schema marks up forum threads and social posts with author, date and text, helping Google identify discussion content.
