Method

SCAN — surface, cause, act, net.

The four stages, in order

Each stage answers a question the next one needs. Skip the first and you’re guessing at the problem. Skip the last and you’ll never know whether the middle two did anything.

Week 1

Surface

We find out which engines your buyers actually use, and what each one says about your category right now.

  • We agree the questions with you first. The ones someone types when they’re choosing a supplier, not reading around the subject.
  • Every question goes to all six engines, signed out, more than once. One run tells you almost nothing.
  • Every answer gets marked the same way: named with a source, named without one, or not there at all.

Rules out The idea that checking ChatGPT tells you where you stand. The six disagree constantly. One averaged score won’t tell you which is costing you business.

Week 2

Cause

We work out why you’re missing. There are three possible reasons and they need completely different fixes.

  • It can’t identify you. The AI is unsure who you are or what you sell, so it won’t put your name forward.
  • It can’t find anything about you. It knows who you are, but none of the sources it trusts mention you.
  • It prefers someone else. It knows you, the mentions exist, and it still names two competitors. This is the hard one, and we’d rather tell you early.

Rules out The assumption that one fix covers it. Publishing more pages helps with the second problem and does nothing for the other two. That’s why “just write more content” is the advice everyone gives and nobody gets much from.

Ongoing

Act

We do the work, and which work we do depends entirely on what stage two found.

  • We make the basic facts about your business consistent everywhere an AI can find them. It stops hesitating over who you are.
  • We write pages an AI can quote from directly, instead of pages it has to rewrite and therefore skips.
  • We go after mentions on the sites your category’s answers are actually built from. This is the slow part, and the part that moves it.

Rules out The assumption that this is a website job. Most of an AI answer comes from what other sites say about you, so most of the work happens somewhere you don’t control.

Monthly

Net

Every month we show you what moved because of us, with your category’s own movement taken out of the figure.

  • We set aside a group of your questions at the start and never touch them. That gives your category somewhere to show its own movement.
  • Both groups get measured again together. Same day, same engines, same conditions.
  • The gap between them is your net gain, and it’s the first number in the report.

Rules out A number that went up being sold to you as a result. These engines move on their own. Models get updated, competitors do things, sources get re-indexed. Part of any rise was never down to your agency. Everyone else reports the rise. We report the share we caused.

The questions we actually test

Stage one in practice. Yours would be written around your category and agreed with you first. These are the questions someone types when they’re close to buying.

The prompts are real. Every status beside them is invented to show the format — none is a finding about a named brand. A real report carries the verbatim prompt set, the market, the date, and the number of runs behind every cell.

Why we hold some of your questions back

These engines move on their own. We leave a group of questions untouched so you can tell these three situations apart. Report the headline number and all three look identical, which is why most agencies report the headline number.

The ones we worked on moved. The ones we left alone didn’t.

Net gain. That was us.

The gap between the two lines is what you paid for. It’s the first number in your report. Most agencies can’t show you this picture, because they never set anything aside to compare against.

Both moved, by about the same amount.

Net zero. Your category moved, we didn’t.

An AI update or a competitor going quiet lifts everybody at once. Your headline number looks great. Your net number is nothing. That’s what we’ll tell you, even though it costs us the credit.

Neither moved.

Nothing has worked yet.

The awkward one. One month like this tells us where to push harder. Three months like this and we change the plan or end it, and we’ll be the ones to raise it.

Solid — the prompts we work on Dashed — the prompts held back, never touched

This is the part that costs us money. It means telling you about the months where nothing moved, and giving your category the credit in the months where everything did. We’d rather show you a small number we can stand behind than a big one neither of us can tell apart from luck.

Six engines, six separate answers

You get each of these reported on its own, never averaged together. A single visibility score throws away the one thing you need: which engine you’re losing on, and who is winning it.

  • ChatGPT
  • Claude
  • Perplexity
  • Gemini
  • Google AI Overview
  • Copilot

What SCAN isn’t

Not a single visibility score

One number covering six engines can’t tell you which one to go and fix. You get each engine on its own, every time.

Not a dashboard login

A live chart you can’t check is just a claim with a graph attached. Every figure we give you traces back to a run you can look at.

Not a list of what we did

Hours worked isn’t a result. The report opens with your net gain on each engine, then explains what caused it.

Stage one, on us

The free report is Surface, run on your category. You keep it whether or not you take it any further, and there’s enough in it to act on by yourself.

Show me where I stand