> ## 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 Co-Occurrence

> Entity co-occurrence is the pattern of two or more named entities appearing together within the same document or passage.

*Core concept* · *Entity & Knowledge Graph*

## Definition

Entity co-occurrence is the pattern of two or more named entities appearing together within the same document or passage. AI systems use entity co-occurrence patterns to infer relationships between entities and build their internal maps of how concepts and organizations relate to each other.

## Why It Matters for AI Search

Entity co-occurrence tracks the specific pairing of entities within a single text, whereas co-citation tracks mentions across independent documents. A brand that co-occurs with relevant industry terms, recognized authority figures, and topically relevant organizations builds a rich relationship map within AI knowledge graphs. Deliberately incorporating relevant entity co-occurrences in content — naming related organizations, citing authoritative sources, referencing specific industry concepts — strengthens the brand's entity graph position.

## Related Terms

<CardGroup cols={2}>
  <Card title="Co-occurrence signal" href="/ai-search-glossary/co-occurrence-signal" />

  <Card title="Co-citation" href="/ai-search-glossary/co-citation" />

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

  <Card title="Named entity recognition" href="/ai-search-glossary/named-entity-recognition" />

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