> ## Documentation Index
> Fetch the complete documentation index at: https://wiki.platelunchcollective.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Entity Schema

> Entity schema is structured data markup that explicitly defines what an entity is — its type, attributes, and relationships — using schema.

*Technical implementation* · *Structured Data*

## Definition

Entity schema is structured data markup that explicitly defines what an entity is — its type, attributes, and relationships — using schema.org vocabulary embedded in JSON-LD. Common entity schemas include Organization, Person, LocalBusiness, Product, and Event.

## Why It Matters for AI Search

Entity schema is how a brand tells AI crawlers, in unambiguous machine-readable terms, exactly what it is and what it does. Without entity schema, AI systems must infer entity type from page content — a less reliable process. With it, the brand's identity is declared explicitly on every page that carries the markup, reducing misclassification and strengthening entity confidence.

## Related Terms

<CardGroup cols={2}>
  <Card title="JSON-LD" href="/ai-search-glossary/json-ld" />

  <Card title="Organization schema" href="/ai-search-glossary/organization-schema" />

  <Card title="sameAs array" href="/ai-search-glossary/sameas-array" />

  <Card title="Structured data" href="/ai-search-glossary/structured-data" />

  <Card title="Entity attribute" href="/ai-search-glossary/entity-attribute" />
</CardGroup>

## Relevant Plate Lunch Collective Services

[Entity SEO](https://www.platelunchcollective.com/services/entity-seo)  [Citation-Ready Content](https://www.platelunchcollective.com/services/citation-ready-content)