Google Search uses on-page structured data as explicit meaning for rich results

The guide defines structured data as a standardized format for describing and classifying page content so Google receives explicit meaning clues. It gives a recipe example and notes JSON-LD as a way to label title, author, and related details that can power rich results and finer search (ingredient, calories, cook time). CMS users may set markup via settings or plugins rather than raw HTML.

Content and SEO engineering teams treat this as a production contract: markup must match visible content and supported formats if rich results are the goal. Published case figures (for example Rotten Tomatoes’ 25% higher CTR on enhanced pages) show why measurement is tied to consistent structured content.

For governed shared meaning, Search’s consumption of JSON-LD-style labels is a large-scale reminder that the same semantic payload can feed both discovery systems and internal agents. Aligning site markup with a shared vocabulary keeps public and private consumers reading one definition of the page.

Google also states it uses structured data to learn about the web and the world beyond a single result feature, so entity-level consistency across pages matters as much as one-off rich-result eligibility.