STEP 03 · RELEVANT
See which buyer questions each page can answer.
After this read you can decide which page to put behind each buyer question, and which wording is losing it.
A question sits at the centre. Your pages sit somewhere around it. We measure how close your own wording lands to the way buyers actually ask, and place each page in one of three bands: it answers the question, it is related, or it is far off. Two pages selling the identical product can land a band apart on phrasing alone.
Example result
Example. Real measurements, brand anonymised.
1 product page against 1 buyer question, read on 12 August 2026. Models: ChatGPT, Gemini and Claude. Unit: band of closeness, one of 3 bands, from 3 runs per model.
What this measures
INPUTS
One page and one buyer question at a time, in the buyer's own words and in yours.
MODEL SET
ChatGPT, Gemini and Claude, reading the same page text on the same day.
REPEATED RUNS
3 runs per model per pairing, with the band that recurs reported.
OUTPUT
One band per page and question: answers it, related or far off, with the date of the read.
What you receive
ANSWERS IT
Your page reads as a direct answer to the question.
RELATED
Recognisably on-topic, but not the answer.
FAR OFF
The assistant does not connect this page to the question.
Next action: send the far-off pages to Content and see which phrases moved the band.
Limitations
Bands describe how a page reads against a question, not whether an assistant will name you. Recall and citations decide that.
Related measurements
Read your own site on this measure.
Your first read is free and takes about a minute. No account, no card.