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Methodology · Citation & Visibility Measurement

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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. 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 An LLM brand audit maps these differences — identifying which models are accurate, which are outdated, and which are systematically missing key facts.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.

AI citation audit

Context Map

Knowledge cutoff

Post-training

Brand citation rate

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Relevant Plate Lunch Collective Services

Context Map AI Search Visibility Assessment