Definition
Schema markup (also called structured data) is a standardized code vocabulary that you add to your web pages to help search engines understand the content more precisely. It uses the Schema.org format — a collaborative project between Google, Bing, Yahoo, and Yandex — to define entities, relationships, and properties on a page. For example, schema can tell Google that a page contains a recipe with specific ingredients and cooking time, a product with a price and rating, or an article with an author and publication date.
Schema markup is typically implemented as JSON-LD (JavaScript Object Notation for Linked Data), which is Google's preferred format. You add a script block to your page's HTML containing the structured data, and search engines parse it when crawling. Common schema types include Article, Product, FAQ, HowTo, LocalBusiness, Event, and Review.
The primary benefit of schema markup is eligibility for rich results — enhanced SERP listings that display additional information like star ratings, prices, FAQ accordions, recipe images, or event dates directly in search results. In 2026, rich results are increasingly important as they capture attention in crowded SERPs. Pages with rich results typically see significantly higher click-through rates than standard blue links.
Why it matters
Schema markup is the bridge between your content and search engine understanding. Without it, search engines must infer what your page is about from the text alone. With it, you explicitly tell search engines the precise nature and structure of your content, reducing ambiguity and increasing your chances of appearing in relevant rich results.
While schema markup does not directly improve rankings, the rich results it enables can dramatically increase visibility and click-through rates. For e-commerce, local businesses, and content publishers, schema is essentially a requirement for competitive SERP presence in 2026.