Answers · AI visibility, in the open

What should an AI visibility audit include?

Not one ChatGPT screenshot. A real audit tests every major engine, uses your buyers' actual questions, separates the pillars, and freezes a dated baseline so any change afterward is provable. PRAGMA's audit is disclosed and reproducible by design — built to survive a skeptic.

"THE AUDIT" YOU'RE SOLD 1 screenshot one engine one day ✕ can't prove a change vs >_ A REAL AUDIT all 5 engines real buyer questions pillars separated baseline frozen + dated verifiable record

"AI visibility audit" is about to mean everything and nothing — the way "SEO audit" once did. Some are rigorous. Many are a single screenshot of ChatGPT on a good day, wrapped in a PDF. Since the whole reason to audit is to establish a truthful starting point, a weak audit is worse than none: it gives you a false baseline you'll measure everything against.

A credible AI visibility audit answers one question honestly — "when buyers ask AI, does it name us?" — and does it in a way anyone can re-check. That takes five things:

PRAGMA's audit is the disclosed one.

PRAGMA built its audit to be checked, not trusted. We publish the exact tests, separate the pillars, freeze the baseline, and record the result to a verifiable URL. The neutrality is in the method — and we never claim the score predicts revenue. If a skeptic wants to re-run it, they can, and they'll get the same picture.

The standard, disclosed

We ask ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews the exact questions your buyers ask, and record — per engine — whether your business is named.

We separate the pillars (answer-engine, parametric, local presence), freeze a dated baseline, and publish to a registry-verifiable record. We report what the engines actually say.

Audited for real · Brand 9 Signs

Brand 9 Signs, a 40-year business (our own founder's, which is why we could open every number), got the full audit — all engines, pillars separated, baseline frozen. It started invisible. After the work, re-run against the same baseline: Gemini, Perplexity, and Google AI Overviews now name it. Weak pillars shown too — that's what an honest audit looks like.

Are you the answer?

Get the real audit — every engine, the pillars separated, a baseline you can check.

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