Definition
An LLM audit checks how one or more models currently perceive, describe, and represent your brand, product, or topic. It surfaces the gaps, errors, and openings before you act.
On this page
At a glance
- Categories Measurement
- Related fields Analytics, GEO
- Difficulty Intermediate
How LLM Audit Works
You ask the models the questions your audience would ask, then study what comes back. Do they mention you? Get the facts right? Quietly favor a competitor? The audit is a snapshot of where you stand in AI answers right now, and a baseline to measure improvement against.
Why LLM Audit Matters
You cannot fix what you have not looked at. An audit tells you whether models are repeating something outdated, ignoring you, or describing you wrong, so your effort lands on the real problems instead of hunches.
Frequently Asked Questions
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What does it actually check?
Whether you get mentioned, how accurately, the sentiment, and how you stack up against competitors across the queries that matter.
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How often should I run one?
Regularly. Models and the web both shift, and a periodic check catches drift before it hardens.