Which one fits

Start here, based on where you are

Five situations we hear most often from US teams. Each one gets a single recommended starting point, with the reason stated — not a menu to weigh up.

5 situations1 recommendation each0 sales calls required

How to read this page

The right first purchase is decided by the question you need answered, not by budget size. A wider grid does not make a narrow question clearer — it makes a broad question answerable. Find the paragraph that sounds like your week, then take the one recommendation under it.

If none of the five reads like your situation, the free snapshot costs nothing and returns your own number on your own queries — that reading usually decides it.

Situation one — nobody here knows what AI answers say about us

You are here if

The question has been raised in a meeting and nobody could answer it

Someone asked what ChatGPT says when a buyer describes your category, and the room went quiet. There is no baseline, no history, and no agreement yet on whether this matters enough to fund.

Start withFree snapshot, then Radar

The snapshot returns a same-day read on your own brand, so the meeting has a number instead of an opinion. Radar then confirms presence, absence and per-engine variance across a full-width panel — enough to decide whether a wider audit is worth funding. Compare the three audits.

Situation two — we rank fine, but a competitor keeps showing up in the answers

You are here if

Your search positions are healthy and the AI answers still name someone else

Rank trackers say you are winning. The assistants your buyers actually open cite a competitor for the questions that matter, and nobody can say which questions, which surfaces, or how often.

Start withPanorama

Fifty queries across the full surface set, with eight competitors read on the same panel and source URLs, answer spans and run indices attached — so the gap is located by question and by surface rather than argued. The expert-written narrative turns that into an ordered move list. What Panorama delivers.

Situation three — the answers state something about us that is wrong

You are here if

A wrong fact keeps reappearing and you cannot tell where it enters

An outdated price, a discontinued product, a former executive, a location you left. You have corrected your own site and the answers have not changed, because the source feeding them is somewhere else.

Start withPanorama, then a Refit Sprint

Panorama’s misinformation scan records where the claim appears, which sources carry it and how often, with receipts. The sprint then executes the correction path — entity facts, source outreach and the pages the engines resolve against — and closes with a matched remeasurement on the sealed panel. How the sprint runs.

Situation four — we have to report this to the board every quarter

You are here if

The number has to survive a room that will ask how it was produced

You need a figure you can defend line by line, a comparison that means something quarter over quarter, and evidence that sits beside the analytics your finance team already trusts.

Start withA monthly program

Monthly full measurement on a sealed panel, a written decision memo each month and a quarter-close delta report with Wilson intervals, read next to your own GA4 and Search Console exports — numbers your team can recompute in your own accounts. The measurement cadence.

Situation five — we are an agency and our client is asking about AI visibility

You are here if

You own the client relationship and need measurement you can stand behind

You do not want to resell a dashboard whose method you cannot explain, and you do not want to build a measurement practice from scratch for one account.

Start withThe partner path

Measurement depth under your brand relationship, with the protocol published so your client can check it themselves and the receipts ledger transferring under the engagement terms. How partners sell with us.

Where this works, and where it does not yet

The grid reads what an outside party can observe: AI answer surfaces, classic search, news, video and the technical layer underneath. In-app search inside a social platform, voice assistants and personalized screens sit in the execution layer — they are worked on with prescriptions bound to the platforms’ own documentation, and the report labels them that way rather than reporting a measured number.

The full boundary is drawn on the coverage map, and the protocol behind every measured cell is published on the methodology page.

Still deciding?

Run the free snapshot on your own brand first. It takes your queries, returns a same-day preliminary read and shows the report format on your own category — which is usually faster than deciding in the abstract. Every list price is public on the pricing page when you are ready.

Ready to turn US visibility evidence into a market plan? Tell us the US buyer, target state and decision date.

Request a written proposal