> ## 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 Extraction

> Entity extraction is the process by which AI systems identify and pull named entities — people, organizations, locations, products, and concepts — from unstr...

*Technical implementation* · *Entity & Knowledge Graph*

## Definition

Entity extraction is the process by which AI systems identify and pull named entities — people, organizations, locations, products, and concepts — from unstructured text. It is a core component of named entity recognition (NER) and is used to build knowledge graphs and populate retrieval indexes.

## Why It Matters for AI Search

Entity extraction is how AI systems turn your content into structured knowledge. A page that clearly names and contextualizes the entities it discusses — using full proper names, consistent references, and explicit relationships — produces cleaner entity extraction results than a page that uses pronouns, abbreviations, and vague references. Content written with entity extraction in mind is more likely to be correctly attributed and accurately represented in AI knowledge systems.

## Related Terms

<CardGroup cols={2}>
  <Card title="Named entity recognition" href="/ai-search-glossary/named-entity-recognition" />

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

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

  <Card title="Knowledge graph" href="/ai-search-glossary/knowledge-graph" />

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