> ## 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.

# FAQ Schema

> FAQ Schema is a structured data markup type using the schema.

*Technical implementation* · *Structured Data*

## Definition

FAQ Schema is a structured data markup type using the schema.org FAQPage vocabulary. It marks up a list of questions and their answers in machine-readable format, embedded in a page's HTML using JSON-LD.

## Why It Matters for AI Search

FAQ Schema does two things simultaneously: it tells Google's crawlers exactly where the Q\&A content lives on a page, and it structures that content in a format that mirrors how AI systems extract answers. Pages with properly implemented FAQ Schema give AI crawlers a pre-organized extraction surface rather than making them parse prose.

## Common Misconception

FAQ Schema is not a guarantee of rich results — Google has reduced the display of FAQ rich results in SERPs since 2023, but the underlying structured data still functions as a machine-readability signal for AI systems regardless of visual display.

## 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="QAPage schema" href="/ai-search-glossary/qapage-schema" />

  <Card title="Answer-first formatting" href="/ai-search-glossary/answer-first-formatting" />

  <Card title="Question-answer structure" href="/ai-search-glossary/question-answer-structure" />
</CardGroup>

## Relevant Plate Lunch Collective Services

[Citation-Ready Content](https://www.platelunchcollective.com/services/citation-ready-content)  [Entity SEO](https://www.platelunchcollective.com/services/entity-seo)  [Answer Engine Optimization](https://www.platelunchcollective.com/services/answer-engine-optimization)