Metrisque
ProductAI Search Measurement
HOW IT WORKS

A recommendation is the end of a path. Every step before it can be measured.

An assistant has to know you, understand you, find you relevant, back it with sources, and shortlist you. We measure every step, tell you whether the question is worth fighting for — and which words to change to move it. Each measure returns its own verdict, so a flat result always points at something specific.

00
Question Finder
Is this question winnable, or already settled?
01
Brand Recall
Can the assistants name you unprompted?
02
Category Fit
Do they read you as what you are?
03
Buyer Match
Do your pages answer the question?
04
Competitor’s Citations
Which sources feed the answer — yours, or the sites read for your rivals?
05
AI Recommendations
Are you named in the picks?
06
Content
Which of your words help, which cost you — what to change, then re-measure.
HOW A READING IS TAKEN

We put your buyers’ questions to ChatGPT, Gemini and Claude, several times each, and record what comes back: who is named, in what order, from which sources, and how each assistant describes and files your business. The same questions run again after you make changes, so a second reading can be compared to the first.

WHAT WE DO NOT CLAIM

Assistants answer differently on identical prompts, and none of them publishes how a choice was made. We measure across runs and models and report what recurs. We never promise selection, and every reading is dated.

See where you stand on all seven.

Your first read is free and takes about a minute. No account, no card.

Measure my company