
Every pitch about being recommended by AI promises visibility. Almost none of them start by measuring it. Know your baseline first: which buyer questions you win, which you lose, and to whom - with numbers you can re-check yourself.
You'll get an email within 24 hours with where you currently stand in AI answers for your market.
A cut of the real thing. Sample market shown - illustrative data.
Raw counts from real queries - not an index, not a proprietary score. If a number moves, you can see exactly why.
ChatGPT, Claude, Gemini and Perplexity answer differently. A strategy built on one engine's behaviour misreads the other three.
A baseline shows which questions need work and which you already win - so budget goes to the gap, not the guess.
Dashboards track mentions. We build the question set around your actual buyers, run it across four engines, and score it with raw counts you can re-derive - then tell you in plain English what to do about it. Measurement you can act on, not a feed you watch.
No. AI assistants build answers on different rules than search rankings. Some things overlap; most don't. We measure the AI-answer surface specifically, and we don't touch your search strategy.
We don't sell media. We measure the organic answer - the part money can't buy - and if you do run ads, a baseline tells you which conversations are worth paying for and which you already win.
First a free readout by email. A full measurement adds a market question set, four-engine results, scored standings, and a short ranked list of moves - written for a decision maker, not a developer.
The readout costs nothing. Full reports start at £1,000, ongoing programmes from £700 a month - you'll see the exact price before you commit to anything.
Honestly: it varies, and anyone promising fixed timelines is guessing. That's why we re-measure with the same questions and scoring - so whatever moves, you can prove it moved.