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Methodology · Emerging

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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. 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.

LLM brand audit

AI citation audit

Context Map

Prompt visibility

Knowledge cutoff

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Context Map AI Search Visibility Assessment