Seven areas, two layers, one map

Why the width of a roster decides what a number means

Ask a narrow roster whether your brand appears in AI answers and it will happily tell you no. The trouble is that "your brand is absent" and "we did not look there" come back as the same sentence. From the outside you cannot tell them apart. That mix-up costs more than any other in this market. A company rebuilds a content programme around a gap that was really a blind spot. Or it relaxes about a category it was never measured in.

So this page exists to be checked. Every surface is named, and each one carries the tier that reads it. You can hold our roster next to anybody else's before you buy either. The arithmetic behind the widest panel is public too — 50 buyer questions, 21 engines, 7 runs each. Where an outside party genuinely cannot observe something, it sits in the execution layer. We label it that way instead of reporting it as a measured figure.

The whole map — what we measure, and what we fix

Search, AI answers, local, commerce, media, social and the technical layer underneath. Those are the seven areas where a US brand gets found on the web, and they sit on one map. What can be measured runs through the same grid, on the same queries. We leave nothing to a spot check. What no outside party can observe gets prescriptions bound to the platforms’ own documentation. The two layers are never blurred.

Stateless measurement, stated in writing. Every paid audit measures through stateless API calls — the state the platforms themselves define as pre-personalization, the same layer as a temporary chat with memory off. That baseline visibility is what we measure, and the methodology says so. Real users’ answers start from this baseline and diverge from there — which is why a before-and-after comparison has to be read at the baseline. Sealed repeated runs accumulate into a time series, and both reads keep the same monthly rhythm: the spot check on the core question set, and the full grid re-run that resets the baseline. What separates the tiers is how much of the fixing we take on, not how often we measure.

Every surface, and which tier measures it

The free AI visibility check is a fast read on the AI engines. Paid audits add the search cross-check and, on Panorama, every source the answer engines pull from.

Scope, deliverables and the decision each tier drives: the diagnostics page.

Measuring is step one of five — the loop closes

The monthly programs turn step five back into step one, every month. Buy an audit within thirty days of starting a program and it comes off that first payment in full, whichever program you pick.

Every rung on this loop carries a published US-dollar list price: see the pricing page.

US regional visibility map

Where does your situation land on this map?

Most buyers arrive with one area already hurting. The pain is a category question they never appear in, a competitor who always does, or a fact the answers keep getting wrong. Match the situation to a starting point on the fit page, then read the list price on the pricing page.