> ## 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.

# LLM Brand Audit

> An LLM brand audit is a systematic evaluation of how a specific large language model represents a brand — testing a defined set of prompts across a defined m...

*Methodology* · *Citation & Visibility Measurement*

## Definition

An LLM brand audit is a systematic evaluation of how a specific large language model represents a brand — testing a defined set of prompts across a defined model and recording what the model says, which sources it cites, and how accurately it characterizes the brand's identity, services, and positioning.

## Why It Matters for AI Search

Different LLMs represent the same brand differently, because they were trained on different data, at different cutoffs, with different post-training configurations. An LLM brand audit maps these differences — identifying which models are accurate, which are outdated, and which are systematically missing key facts. For brands operating across markets where different AI platforms dominate, LLM brand audits by platform provide the platform-specific diagnostic data needed to prioritize optimization efforts.

## Related Terms

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

  <Card title="Context Map" href="/ai-search-glossary/context-map" />

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

  <Card title="Post-training" href="/ai-search-glossary/post-training" />

  <Card title="Brand citation rate" href="/ai-search-glossary/brand-citation-rate" />
</CardGroup>

## Relevant Plate Lunch Collective Services

[Context Map](https://www.platelunchcollective.com/services/context-map)  [AI Search Visibility Assessment](https://www.platelunchcollective.com/services/context-map)
