Brand 9 Signs is a 40-year signage company in Northeast Florida — and it's PRAGMA's own founder's business. That's the point: it's the one case where we could run the full method, open every number, and show the ugly parts. Before we offered this to anyone, we ran it on ourselves.
The method, applied.
- Baseline frozen. We measured against the market — the real questions buyers ask in the category and metro — not a flattering keyword. Day-0: effectively invisible; AI named competitors.
- Answer-shaped on its own domain. We rebuilt the "who makes the best {category} in {city}?" pages, brand-first, machine-readable, with real proof — all owned by Brand 9.
- Re-measured, identical check. Same engines, same questions. The result moved into named answers on the retrieval surfaces first.
Now named on Gemini, Perplexity, and Google AI Overviews for its category questions. Retrieval on the market corpus climbed materially cycle over cycle. And honestly: ChatGPT and Claude parametric memory still lag — those model-memory surfaces update slowly, so we show them at the bottom, not hidden. Showing the weak pillar is the difference between a certification and a vanity metric.
Not a dashboard that told us we had a problem. A method that fixed it — and a receipt anyone can check.
This is what "the neutral certifier" means in practice: a disclosed method, a frozen baseline, a reproducible before-and-after, and the weak numbers shown alongside the wins. If a provider can't put a receipt like this on the table, that tells you what their score is worth.
Are you the answer?
See where your business stands against the same disclosed check.
Are you the answer? Find out