Lenders, board members, grantors and procurement officers now open ChatGPT or Gemini before they open your deck. Whatever the model concludes is the first impression, and you never see it. This audit finds out what it says, why it says it, and what to change before the date that matters.
Most AI visibility work asks whether you show up. That matters for a consumer brand. If your money comes from people who research you first, the question is what the model tells them when they do, and that question produces different findings.
ChatGPT described ResultantAI accurately across every prompt. Gemini attached a different person to the company and put a scam warning on the brand name. Same company, same week, opposite verdicts. That result is why model disagreement is its own line in every report, and I show the screenshots on the scoping call.
The order matters. A wrong call in the first stage has already ruined a full set of prompts on a real engagement, so each stage is reviewed before the work moves on.
A written diligence teardown can reach your board before you have read it. So the findings are walked through with you first, and the written report follows. Anything negative in the public record is raised once, plainly, so you can prepare an answer.
In scope: your web content, structured data, entity signals and directory presence. Out of scope: legal entity structure, which belongs to your counsel, and any guarantee about what a model will say on a given day. Corrections have to be published, crawled, indexed and retrieved, so plan on eight to eleven weeks before your conference, funding round, RFP or review date. Scope and a fixed price come back in writing within 48 hours of the call. Implementation is quoted separately, and ongoing monitoring is available because models are re-crawled and your sources go stale.
Who signs your checks, how many entities and domains you run, and what date is coming up. Thirty minutes. If this is not the right audit for you I will say so on the call.