Your client asks where they stand in AI answers. In ChatGPT, in Claude, in Gemini. Which competitors do get mentioned. You know the question is fair. You also know the answer is not a keyword report you pull from an SEO tool.
Measuring AI visibility calls for a methodology of its own: a question set per sector, a measurement framework that knows the difference between being present and being recommended, and enough repetition across enough channels to tell noise from movement. Building it yourself can easily take months of development, and then months more to get the first errors out. And only then does the strategic interpretation begin — the part your client is actually paying you for.
The report carries your brand. We appear nowhere. You deliver it, you discuss it, you keep the client relationship entirely in your hands.
Your name and ours. Useful when the methodology is part of your sales argument, and the client wants to know who is doing the measuring.
We are visible as the measurement layer beneath your advice. You remain the strategist; we are the instrumentation.
We do the measurement, the analysis and the written interpretation — the work you would otherwise need an R&D track for. You know the client, their market and their internal dynamics, and that is precisely the part a measurement partner can never take over. We do not speak to your client unless you bring us in.
We do not take your retainer away. We underpin it — with a sector-specific measurement that goes further than a standard dashboard, and with a conversation that goes further than a report on last month.
For marketing, communications and media agencies with enough client volume to make AI visibility a standing part of their offering. Not for one-off resale: the return sits in repetition — from the second measurement you see what shifts, and across several measurements whether that movement is structural.
You know the client. We have the measurement. The margin is yours.
ChatGPT, Gemini, Claude, Copilot, Perplexity, Google AI Mode and AI Overviews. Every measurement runs across all seven.
That many AI answers analysed in our measurement practice so far. One answer is a snapshot, not a measurement — patterns only appear at volume.
Are you mentioned? And are you recommended at the moment the choice is made? Those are two different outcomes — and in many reports they end up on one heap. We measure and report them separately.
It starts with the baseline measurement. You get both the measurement and the reading of it — where you stand, against whom, and where it goes wrong.