Review Schema

Review schema is a type of structured data that labels ratings and reviews on a page so that search engines can understand them and, when eligible, display star ratings in search results. Reviews and star ratings are among the most persuasive signals a shopper can see, and this markup takes the rating a page already presents and restates it in a standardized, machine-readable form. Instead of leaving a search engine to guess that a row of stars represents a four-out-of-five score, the schema states it explicitly, along with who or what is being rated and how many people contributed.

Mechanically, Review schema is built on the Schema.org vocabulary and is generally added as JSON-LD in the page's code. It can describe an individual review, capturing the rating value, the reviewer, and the item being reviewed, or it can use an aggregate rating that condenses many reviews into an average score and a total count. The markup attaches to the thing being evaluated, such as a product, a local business, or a service, so the rating is clearly tied to its subject. Search engines crawl the markup, verify that the ratings genuinely appear on the visible page, and may then render star rich results, showing the average score and review count in the listing to give searchers an at-a-glance sense of reputation.

The name pairs review with schema, referring to structured data from Schema.org. It is the specific type that lets pages mark up ratings and reviews to earn star rich results in search. Star ratings became a familiar shorthand for quality across the web, and giving search engines a reliable way to read them meant those signals could surface in results rather than staying hidden inside a page, helping searchers judge options before clicking.

For a business, Review schema matters because star ratings in search results influence attention and trust. A listing that displays a strong average rating tends to draw more clicks than a plain result, since social proof reassures people that others have had good experiences. That visibility can meaningfully affect how much traffic a page attracts, and it reinforces a brand's credibility at the exact moment a potential customer is comparing choices. For local businesses and stores alike, surfacing genuine reputation in search is a practical advantage.

Common mistakes almost always involve dishonest or misapplied markup. The ratings described in the schema must correspond to reviews that are actually visible on the page; fabricating ratings, marking up reviews a business wrote about itself, or attaching aggregate ratings to an entire website rather than a specific item all violate guidelines and can trigger a loss of rich results or a manual action. Another frequent error is marking up the wrong entity, such as applying product-style review markup to a page that is not really about a single product. It also helps to ensure reviews are collected in a legitimate way rather than incentivized in ways that distort them. Review schema works hand in hand with Product schema, which often carries an aggregate rating for goods, and it belongs to the same structured data family as FAQ schema and HowTo schema. Used honestly, it turns real customer sentiment into a visible asset in search.