> ## 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.

# Schema Markup

> Schema markup is code added to a web page using schema.

*Technical implementation* · *Structured Data*

## Definition

Schema markup is code added to a web page using schema.org vocabulary to provide search engines and AI crawlers with explicit, machine-readable information about the page's content and entities. It is a highly effective mechanism for declaring what a page is about, complementing other methods AI systems use to infer content.

## Why It Matters for AI Search

Schema markup reduces the interpretive burden on AI crawlers. A page with correct schema markup tells the AI system directly: this is an Organization, this is its name, this is its location, these are its services. Without schema markup, AI systems must infer all of this from prose — a process that introduces ambiguity and error. Schema markup is a highly direct technical action a brand can take to improve AI representation accuracy.

## Related Terms

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

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

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

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

  <Card title="FAQ Schema" href="/ai-search-glossary/faq-schema" />
</CardGroup>

## Relevant Plate Lunch Collective Services

[Entity SEO](https://www.platelunchcollective.com/services/entity-seo)  [AI SEO](https://www.platelunchcollective.com/services/ai-seo)