Schema and Structured Data · Schema Type

What Is Review Schema Markup?

Review schema can support star ratings in search, but only when the reviews are real. Here is what it is, the properties it uses, and why fabricated reviews must never appear in schema.

Updated: July 2026
Written by: Andrew Odgers, Managing Director
Reading time: 7 minutes
The short answer

Review schema markup is structured data describing a review or aggregate rating of something, to search engines. Reviews in schema must be genuine and verifiable; fabricating them breaches guidelines and our house style. Common properties include the item reviewed, rating value and scale, author and date. Faking review schema can lead to manual actions, loss of rich results and damage to trust. Genuine Review schema can make you eligible for star ratings, but Google decides whether to show them, so they are never guaranteed.

Genuine reviews only

What Review schema is, and the honesty rule

Review schema markup is structured data that describes a review or aggregate rating of something, such as a business, product or service, to search engines, and it can support star ratings in results when genuine. Because it conveys real feedback, Review schema is useful only when it reflects actual reviews, and it never guarantees any particular appearance. Yes, absolutely, review and rating markup must reflect genuine, verifiable reviews, and fabricating or inventing them is against search engine guidelines and our firm house style. Fake reviews are never acceptable; because invented ratings can lead to penalties and mislead people, only real, honest reviews should ever appear in schema, which is a rule we apply on every local business build.

RV 01

Real feedback

Genuine reviews only.

RV 02

Never faked

No invented ratings.

RV 03

Eligible only

Google decides display.

Properties, the risks of faking and star ratings

The properties, the risks of faking, and star ratings

Common properties include the item being reviewed, the rating value and scale, the author of the review, and the date, or an aggregate rating summarising many genuine reviews. Accuracy is essential; because these must reflect real feedback, review markup should always be tied to actual, verifiable reviews rather than invented figures. Faking review schema can lead to manual actions, loss of rich results, and damage to trust, quite apart from being dishonest and misleading to customers. The risks are serious; because search engines actively police fake reviews, using only genuine review data protects both your visibility and your reputation. No, valid Review schema based on genuine reviews can make you eligible for star ratings, but Google decides whether to show them, so they are never guaranteed. Eligibility is not display; because Google controls the outcome, honest review markup supports eligibility rather than promising any particular appearance, as we explain on the star ratings guide.

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Only ever
real reviews.

We never fabricate reviews or ratings in schema, full stop. Only genuine, verifiable feedback ever goes into your markup. Honest structured data that protects your visibility and your reputation.

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Frequently asked

Review schema markup

What is Review schema markup?
Review schema markup is structured data that describes a review or aggregate rating of something, such as a business, product or service, to search engines. It can support star ratings in results when genuine. Because it conveys real feedback, Review schema is useful only when it reflects actual reviews, and it never guarantees any particular appearance.
Must reviews in schema be genuine?
Yes, absolutely; review and rating markup must reflect genuine, verifiable reviews, and fabricating or inventing them is against search engine guidelines and our firm house style. Fake reviews are never acceptable. Because invented ratings can lead to penalties and mislead people, only real, honest reviews should ever appear in schema.
What properties does Review schema use?
Common properties include the item being reviewed, the rating value and scale, the author of the review, and the date, or an aggregate rating summarising many genuine reviews. Accuracy is essential. Because these must reflect real feedback, review markup should always be tied to actual, verifiable reviews rather than invented figures.
What happens if you fake review schema?
Faking review schema can lead to manual actions, loss of rich results, and damage to trust, quite apart from being dishonest and misleading to customers. The risks are serious. Because search engines actively police fake reviews, using only genuine review data protects both your visibility and your reputation.
Does Review schema guarantee star ratings?
No; valid Review schema based on genuine reviews can make you eligible for star ratings, but Google decides whether to show them, so they are never guaranteed. Eligibility is not display. Because Google controls the outcome, honest review markup supports eligibility rather than promising any particular appearance.