Radical transparency

The whole method, published.

Detailed enough that you could repeat it yourself. That's the point — in a field full of black-box scores and snake-oil cold emails, the only honest move is to show our work.

Retrieved → Cited → Trusted, in full

Retrieved — can the AI even read you?

We check your robots.txt rules for the named AI crawlers (GPTBot, ClaudeBot, PerplexityBot and friends), hosting-level bot blocks (Cloudflare's "Block AI bots" toggle, Vercel's firewall rules, shared-host security plugins), and whether your content exists in raw HTML — AI crawlers don't run JavaScript. Pass or fail, verifiable with a curl command we show you in the report.

Cited — does it use you when it answers?

Every question is classified per engine: were you cited as a source, mentioned by name, merely retrieved, or absent — and the same for each competitor. We show raw counts, not just percentages, broken out by buyer-journey stage.

Trusted — do its sources vouch for you?

The engines lean on third-party sources: directories, review sites, articles. We aggregate every source the AIs actually cited in your market, rank them by frequency, and check your presence on each. This is where most of the fix list comes from.

How the questions get built

We don't test vanity prompts. We build a picture of your actual buyer, then write the questions they ask at each stage of deciding — and you see every one before we lock the set. The five stages:

Problem — "why do I feel…" Exploration — "what kind of help…" Comparison — "who near me…" Validation — "is [name] any good?" Selection — "book with X or Y?"

The set is weighted toward Comparison and Selection — the questions asked by buyers who are about to choose someone. Those are the answers worth winning.

AI answers are probabilistic. We measure the noise instead of hiding it.

Ask the same engine the same question an hour apart and you can get different shortlists — we've measured it. So every question runs multiple times per engine, and the report shows stability ("you appeared in 2 of 3 runs"), not a single cherry-picked screenshot. If a result is shaky, the report says it's shaky.

Questions to ask any AI-visibility vendor. Including us.

"Can I see your methodology?" — if it's secret, walk away. "Do you guarantee placement?" — if yes, run. These answers can't be guaranteed by anyone. "Can I see a full sample report?" — not screenshots. The whole thing. "How do you handle run-to-run variance?" — if they don't know what that means, they haven't measured much.

What to honestly expect

The report lands in days. If you fix things, the first measurable movement typically shows at weeks 4–8, with durable gains over months 3–6 — AI engines re-crawl and re-weigh sources slowly. Anyone promising faster is pattern-matching to the spam in your inbox.

See it applied to your business

Get the free Shortlist Check See the Snapshot — $750