Structured data glossary definition

Structured data means you format page information so search engines can understand it as specific entities and relationships, not just as plain text. You add this data through a standardized vocabulary, usually Schema.org, and you embed it on your site with formats like JSON-LD or Microdata.

When you use structured data, you describe things such as an event (date, location), a product (price, availability), an organization (name, logo), or an article (headline, author). Search engines read those fields and match them to the right meaning. This helps them index your page more accurately and show rich results in the SERP, like star ratings for products or breadcrumbs for site navigation.

You do not need to “trick” search engines. You help them map your content. If your page lists an event on Monday, structured data should state the event start date in the event schema too. If your page shows a price, you should provide the same price values in the product schema. When the data conflicts with what users see, you risk reduced eligibility for rich results.

Most teams implement structured data by adding a JSON-LD script near the relevant content. The script stays on the page, so you can update it whenever you change the event, product, or article details. You then validate the markup with tools such as Google’s Rich Results Test and the Schema Markup Validator. Those tools tell you which properties you missed and which fields search engines can parse.

Use structured data when you want search engines to interpret your page with clearer context. You get cleaner categorization, stronger relevance, and a better shot at enhanced search features.

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