Does AI know the company?
ChatGPT and Gemini correctly describe what it does and where (2 of 3 engines required).
An anonymised excerpt of a full AI Visibility Audit. The technical results (categories A–F) are from a real plumbing company's website in our benchmark, audited on 28 September 2026 with methodology v0.4.1. We renamed it "Example Plumbing AS". The live AI answers further down are illustrative. In a real report, every claim comes with the check behind it, the result and the evidence. benchmark →
Methodology v0.4.1 (How the score works →): 72.17 of 103 points, normalised to 70 out of 100. The industry comparison comes from wave 3 of our benchmark (September 2026), computed with the same tests.
The full report lists all 35 checks like this, with what we tested, the result and the evidence. You or your web agency can verify every line. Here are 8 of them:
…plus the remaining 27 checks, each with points, evidence and source.
The diagnosis ends with the live tests. We ask three fixed questions in ChatGPT, Perplexity and Gemini and attach a screenshot of every answer. This is roughly how the section reads:
ChatGPT and Gemini correctly describe what it does and where (2 of 3 engines required).
Asked for "a plumber in [city]", all three engines recommend competitors; the company is never mentioned. The report names which competitors, with screenshots.
One engine of three cites the domain; the threshold is two.
This is usually the part that hits hardest. You can see, in your customers' own questions, that you're not in the answer.
Every finding becomes a task, ordered by how many points it wins back for the work involved. These three add 20.5 of 103 points, enough to reach the AI-ready band.
There's also a five-minute job on the side. Unblocking GPTBot at the firewall is worth only 0.33 points, but it decides whether ChatGPT's training data includes the company at all. The full list covers every failed check, and the implementation offer covers that list and nothing else. No "phase two" surprises.
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