Structured Data

Any standardized format (JSON-LD, microdata, RDFa) that adds machine-readable meaning to web content. Schema.org is the most widely adopted vocabulary.

Structured data is the umbrella; Schema.org markup is the specific implementation. Google and most AI engines prefer JSON-LD because it lives in a single <script> block in <head> and does not interfere with rendering.

Without structured data, AI engines have to infer meaning from raw HTML — an unreliable process. With it, you tell them exactly what an entity is. Audit yours with Google's Rich Results Test, Schema.org Validator, or VibecodeAEO's built-in schema audit.

Real-world example

Without structured data, Google sees a wall of text and must guess that your product page is about software. With an Organization + SoftwareApplication schema block, it knows your entity type, your category, your pricing model, and your aggregate rating — all without reading a single word of prose.

Frequently asked questions

What is the difference between structured data and schema markup?+
Structured data is the concept — adding machine-readable meaning to web pages. Schema markup (specifically Schema.org vocabulary) is the most widely used implementation. JSON-LD is the preferred format for structured data, supported natively by Google, Bing, and major AI engines.
Do I need structured data on every page?+
At minimum: your homepage (Organization schema), every product page (Product or SoftwareApplication schema), every article (Article schema), and any page with Q&A content (FAQPage schema). Structured data on high-traffic pages gives AI engines entity context they use across your entire domain.

Related terms

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