Are you in
the answer?

Buyers ask ChatGPT, Gemini and Claude who to trust. They get one answer. Either you are in it or your competitor is.

We measure where you stand, and provide a route to increasing your visibility.

The
baseline.

We ask the assistants the questions your buyers ask. The baseline: how often you are recommended, who is named instead, and on which questions. Every number traces back to a real answer.

The
blindspot.

AI visibility is a PR problem. Assistants use your site as a fact base, then form their view of you on third-party pages. The fix is being on the pages they actually read.

The gap.

The high-intent questions you were named in, and the ones you weren't. Question by question, assistant by assistant.

AI search is probabilistic, repeated queries show the statistical reality.

The infrastructure.

The code and content fixes on your own site, so the models understand exactly what you sell and who you are.

Websites are built for humans, not AI assistants.

How we work.

Diagnostic first. Then the monthly. The report goes to whoever pitches for you.

The diagnostic

Where you stand today

Your buyers' questions, asked across multiple assistants
Repeated runs, not one-off answers
How often you are recommended, and who is instead
The questions you were named in, and weren't
Site fixes so the models know what you sell
The hit-list: pages to pitch, ranked

The monthly

The count moving, month on month

Core 100 questions re-run every month
Movement shown question by question
50 fresh questions tracking where the market moved
Gaps that persist get promoted into the core
A fresh pitch list every month
Every number traces to a real answer

The report goes to your teams

PR pitches it, developers fix it

The hit-list, with the angle for each page
The questions you were named in, and weren't
Schema, copy and crawl fixes for your web team
A scoreboard that shows outreach landing
One report, shared across both teams
Already have an agency? It works with them

The
hit-list.

The third-party pages the assistants lean on to form their answers, ranked by how often they cite them, with the exact angle to pitch each one.

Multiple models.
Multiple answers.

The same question asked multiple times across the models often yields different answers. AI search is probabilistic. Repeated question sets show the statistical reality, not a one-off fluke.

Proof of
movement.

Your PR team gets a scoreboard. Every month we re-run your core 100 questions and show the count moving, question by question, as your fixes and outreach land. Each month ends with a fresh list of pages to pitch.

Our data shows: the pages assistants cite have a median age of about ten months. A citation earned now is still being read next year.