> ## 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.

# Co-Occurrence Signal

> A co-occurrence signal is the pattern of two or more terms, entities, or concepts appearing together across multiple documents.

*Core concept* · *Entity & Knowledge Graph*

## Definition

A co-occurrence signal is the pattern of two or more terms, entities, or concepts appearing together across multiple documents. AI systems use co-occurrence patterns to infer topical associations and semantic relationships between entities.

## Why It Matters for AI Search

Co-occurrence is how AI systems learn what things mean in relation to each other. A brand that consistently appears alongside terms like "[AI SEO](https://www.platelunchcollective.com/services/ai-seo)," "entity optimization," and "retrieval layer" in independent sources builds a co-occurrence signal that trains AI systems to associate the brand with those concepts. Deliberate co-occurrence — through consistent use of specific terminology in brand content and through earning mentions alongside relevant topics in third-party coverage — is a controllable component of AI brand representation.

## Related Terms

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

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

  <Card title="Semantic relevance" href="/ai-search-glossary/semantic-relevance" />

  <Card title="Topic modeling" href="/ai-search-glossary/topic-modeling" />

  <Card title="Brand mention" href="/ai-search-glossary/brand-mention" />
</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)  [Context Map](https://www.platelunchcollective.com/services/context-map)