Learn · Field notes
Research
The notes filed under Research, for business owners. No promises nobody can keep.
6 notes · newest first
October 20261 note
7 min
We asked AI about 31 med spas and cosmetic dentists. 14 were never named.
Five buyer questions, three assistants, one run each. Nearly half the practices we checked did not appear in a single answer, and the sources behind the answers were mostly not the practices’ own sites.
September 20264 notes
8 min
What an AI visibility audit cannot tell you
Every tool publishes what it measures. Almost none publishes what it misses — which is the half that decides whether the first half means anything.
8 min
Why the same question gets a different answer twice
Your friend asked ChatGPT and you were there. You asked and you were not. Neither of you is wrong — and the disagreement is the most useful thing on the page.
8 min
How we ask: the method behind every audit
A visibility score is only as good as the questions behind it. Here are ours in full — including the rules that cost us points we could have quietly claimed.
9 min
What a visibility score is actually made of
A number you cannot take apart is not a measurement, it is a mood. This one takes apart into seven pillars — ninety points of observation and ten of forecast.
August 20261 note
8 min
Which engine actually sends local traffic in 2026?
Most share-of-answers charts measure something else and label it local. The number that matters is not the market’s — it is yours.
Start here if anyone has shown you a chart of “AI market share”.
Your own answers
Start with a free scan.
These notes say what usually goes wrong. A scan shows what AI says about you: we ask ChatGPT, Gemini and Perplexity your customers’ questions and show who they name.
Not ready? See a sample report first.