--- title: "What is Structured Data (Schema Markup)? Definition & Examples | Kitbase" description: "Machine-readable JSON-LD embedded in a page that states unambiguous facts about its content for crawlers and AI systems." canonical: https://kitbase.dev/glossary/structured-data --- [Home](/) [Glossary](/glossary) Structured Data (Schema Markup) AI Visibility & GEO # What is Structured Data (Schema Markup)? Machine-readable JSON-LD embedded in a page that states unambiguous facts about its content for crawlers and AI systems. Structured data — most commonly implemented as JSON-LD following the schema.org vocabulary — is a block of machine-readable markup embedded in a page that states facts about its content explicitly: this page is an Article by this author published on this date, this page is a Product priced at this amount, this page answers these FAQ questions. Search engines and AI crawlers can infer a lot from plain HTML, but structured data removes the guesswork. Instead of a crawler parsing prose to figure out what a page is about, structured data hands it the answer directly — which is exactly the kind of unambiguous signal that both traditional rich-result eligibility and AI answer synthesis depend on. Common types worth prioritizing are `Organization` (on the homepage), `Article` or `BlogPosting` (on content pages), `Product` (on pricing or product pages), `FAQPage` (anywhere a page answers common questions), and `BreadcrumbList` (site-wide navigation context). A page can carry more than one type at once. ## Example A blog post embeds Article JSON-LD with its headline, author, and publish date, plus FAQPage markup around a Q&A section near the end. Google shows the post with a rich snippet in search results, and an AI engine summarizing the same page can attribute the answer to a specific, dated source instead of an unstructured wall of text. ## Code Example html ``` ``` Minimal Organization structured data embedded in a page's ## Related Terms [ Machine Readability How easily a crawler or AI system can extract a page's actual content and meaning, as opposed to a human simply viewing it rendered. ](/glossary/machine-readability)[ llms.txt An emerging convention for publishing a curated, markdown summary of a site's most important pages for AI systems to read. ](/glossary/llms-txt)[ SEO (Search Engine Optimization) The practice of improving a website so it ranks higher in traditional search engine results, like Google and Bing. ](/glossary/seo)[ Site Audit (GEO Readiness) A scored checklist of whether a site is technically ready to be crawled, understood, and cited by AI systems. ](/glossary/site-audit) ## Track your AI visibility with Kitbase See how often ChatGPT, Perplexity, Gemini, and Claude mention your brand, which domains they cite, and how you stack up against competitors. [Explore AI Visibility](https://docs.kitbase.dev/ai-visibility)