> ## 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.

# Cross-Platform Consistency

> Cross-platform consistency is presenting the same core entity facts identically across every platform an AI system reads.

*Core concept* · *Entity & Knowledge Graph*

## Definition

Cross-platform consistency is the practice of presenting the same core entity facts, the name, address, category, and identifiers, identically across every platform an AI system reads. It spans the business's own site, its listings and profiles, and the third-party sources that describe it. It is a specific application of entity consistency, focused on the surfaces a model crawls rather than the content of any single one.

## Why It Matters for AI Search

A model builds one entity record out of many platforms. When a business's details match across its site, its listings, and its profiles, the model merges them into a single confident record. When they disagree, the model may split the business into competing records or trust none of them, and the business gets named for neither. Consistency is the cheapest way to raise entity confidence, because it removes the contradictions a model would otherwise have to resolve on its own.

## Related Terms

<CardGroup cols={2}>
  <Card title="Entity consistency" href="/ai-search-glossary/entity-consistency">Broader term</Card>
  <Card title="Entity confidence" href="/ai-search-glossary/entity-confidence">See also</Card>
  <Card title="NAP consistency" href="/ai-search-glossary/nap-consistency">See also</Card>
  <Card title="Entity signals" href="/ai-search-glossary/entity-signals">See also</Card>
  <Card title="Entity record" href="/ai-search-glossary/entity-record">See also</Card>
</CardGroup>

## Relevant Plate Lunch Collective Services

[Entity SEO](https://www.platelunchcollective.com/services/entity-seo)  [Context Map](https://www.platelunchcollective.com/services/context-map)