An AI visibility score is the share of AI answers, to a set of buyer questions, that cite or name your business. Whether it means anything depends on three things the score itself does not show: which questions were asked, how many answers it is built from, and how many times each question was asked. A score without those three is a number, not a measurement.
They are not interchangeable: in our study of 8,441 answers, a brand was cited in 1.4% of answers but named without a link in 5.2% (who AI assistants cite). A tool that reports only one of them is telling half the story.
Suppose your score is 2%. This is the range that score is honestly compatible with, and the smallest rise the next measurement could confirm, at different numbers of answers:
| Answers behind the score | Cited in | 95% interval | Smallest rise a test can confirm |
|---|---|---|---|
| 50 | 1 of 50 (2%) | 0.1% – 10.6% | +14.0 points |
| 108 | 2 of 108 (1.9%) | 0.2% – 6.5% | +7.4 points |
| 500 | 10 of 500 (2%) | 1% – 3.6% | +2.4 points |
| 2,000 | 40 of 2,000 (2%) | 1.4% – 2.7% | +1.0 points |
Computed on this page: exact (Clopper–Pearson) interval; smallest rise = the first later count a two-sided Fisher exact test at 5% calls different, with the same number of answers. Our own reports use 108 answers per market — about 12 questions × 5 assistants × 2 asks (1 on ChatGPT).
Two things follow. A score built from a few dozen answers cannot tell 0% from 10%. And a day-over-day change of a point or two is almost never a change: it is the assistant re-drawing its sources. Ask for the interval, and for the test behind any “up” or “down”.
The same business can score 0% or 30% depending on the question list. A generic category list (“best running shoes”) is answered from editorial sites and big marketplaces, so most brands score zero on it — 63% of brands in our study did. Questions written from what you actually sell, or taken from your own Search Console, are the ones that matter for your revenue. A good tool shows you the exact questions before it measures and lets you change them.
AnswerRange was built to pass that list, and the method is published with its data (methodology, papers). Measured through the providers' APIs, which are not identical to the consumer apps.
Other guides: Getting recommended by ChatGPT, from measured data · how we measure · who AI assistants cite