> ## 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 Probing

> LLM probing is the practice of systematically querying a specific language model with a defined set of prompts to assess how the model represents a brand, to...

*Methodology* · *Emerging*

## Definition

LLM probing is the practice of systematically querying a specific language model with a defined set of prompts to assess how the model represents a brand, topic, or category — extracting the model's current "knowledge state" about a subject for diagnostic and optimization purposes.

## Why It Matters for AI Search

LLM probing is a core research method for AI citation audits. By running a systematic battery of prompts — direct brand queries, category queries, competitor comparisons, and topic association queries — practitioners can map what a specific model knows and does not know about a brand, identify inaccuracies, and benchmark current AI representation before and after optimization interventions. Each model requires separate probing because their representations differ.

## Related Terms

<CardGroup cols={2}>
  <Card title="LLM brand audit" href="/ai-search-glossary/llm-brand-audit" />

  <Card title="AI citation audit" href="/ai-search-glossary/ai-citation-audit" />

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

  <Card title="Prompt visibility" href="/ai-search-glossary/prompt-visibility" />

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