AI answer visibility for B2B software teams
Measure AI answers.
Show the margin of error.
ChatGPT, Perplexity and Gemini give different answers every time you ask. We run each question many times, report your share of answer with its range, and alert you only when a change is bigger than the noise.
Example report layout
Sample values to show the format. Not real client data.
Method
Four rules that keep the numbers honest
Freeze the prompts
We agree on 100 or more real buyer questions and lock them. The same questions run every week, so changes mean something.
Run each one repeatedly
Every prompt runs at least three times on each engine. One answer proves nothing because the same question returns different brand lists.
Report a range, not a rank
You get share of answer per engine with a margin of error, next to two or three competitors measured the same way.
Alert outside the noise
We flag a move only when it is larger than the margin of error. A three point wobble is not called a win or a loss.
Services
Start free, go deeper when the numbers earn it
Snapshot
A quick read of how three AI engines answer 20 questions in your market. One run, so treat it as a first look.
FreeBaseline
100 or more prompts, three runs, three engines, margins of error and up to three competitors as controls.
One timeWatch
The Baseline repeated weekly with alerts outside the noise and a monthly report.
MonthlyGrow
Watch plus a monthly action plan and content briefs based on what the answers cite.
MonthlyLead
Grow plus a strategy call every two weeks and priority fixes.
MonthlyCompetitor Watch
Price, feature and positioning changes at three to six competitors, each with a short note on why it matters to you. Public pages only.
Free Snapshot
See where AI engines place you today
Send your website and up to three competitors. We run 20 buyer questions across three engines and send you the result with its limits stated. One run means a first look, not a verdict.
FAQ
Straight answers
Do you guarantee that we will be named by ChatGPT?+
No. Nobody controls what an AI engine says. We measure how often you appear, show the range, and tell you what the answers cite so you can act on it.
Why do you run every question several times?+
The same question returns different brand lists on different runs. Studies of this noise, including one by SparkToro, show a single answer says very little. Repeated runs let us state a margin of error.
What do the engines see, and what do they not?+
We query the engines through their public APIs. That can differ from what a person sees in the consumer app, and Google AI Overviews are not covered in the first version. We state this in every report.
Do you collect personal data?+
We work with public answers and public company pages. We do not need access to your analytics, customer data or accounts.