Do I need an account to run an audit?
No. The first run of an audit is free and does not ask for a signup or a card. An account is needed only to keep reports and re-run them later.
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AI visibility audit
An AI visibility audit is a one-time diagnosis of how AI assistants answer the questions a brand's buyers ask, with the raw answers kept as evidence. It differs from continuous monitoring, which tracks the same prompts on a schedule and charges for the dashboard. An audit answers "where do we stand today and what should we publish first"; monitoring answers "what moved since last month".
Audit versus monitoring
Monitoring platforms assume the team already knows it has a problem and wants a recurring feed. An audit is the step before that: a diagnosis that can stand on its own, that can be repeated when the team has published something, and that does not require anyone to operate a dashboard in between. Most teams need the diagnosis first and decide about monitoring after.
What an audit should contain
A useful audit has six parts, and a reader should be able to check each one against the raw answers.
- The buyer questions it asked, derived from what the brand actually sells, with branded and open questions kept apart.
- The raw answers, so a claim like "not recommended" can be verified by reading.
- Counts with their total (N): "recommended in 3 of 12 open questions on 3 providers", not a percentage floating free of its sample.
- The competitor gap: which brands the assistants named instead, and how often.
- The missing pages: which questions the brand's site does not answer today.
- A plan: what to publish first, in an order the team can follow.
What an audit should not claim
It should not claim to show what a consumer sees in the ChatGPT or Gemini app: those products add web search, memory and personalization that a model API call does not have, and the answers differ. It should not guarantee rankings, traffic or future recommendations. And it should not present a single run as the model's settled opinion, because the same question returns different brands on different runs.
How the LLM Audit audit works
The audit reads the brand's site, derives up to 12 buyer questions, asks each one to three model APIs without web search, and reports counts plus a three-band verdict once at least 6 open questions have been answered. The first run is free and needs no account. The full report costs USD 9 one time; a lifetime pass at USD 29.99 covers every report and every re-run after that. There is no subscription. The models, parameters and run counts are on the methodology page.
FAQ
How often should an audit be repeated?
When something changed: the team published the pages the plan asked for, a competitor launched, or a provider shipped a new model. Re-running on a fixed monthly schedule measures the calendar, not the work.
Is the free audit enough?
For the verdict and the list of buyer questions, yes. The paid report adds the raw answers as evidence, the competitor gap and the publishing plan, which is what a team needs to act on the result.
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See the numbers for your own brand
The free audit reads your site, derives your buyer questions and measures them on three model APIs. No signup, no card.