Guide

How to measure whether AI recommends your brand

By Gary Gillespie · Last updated

Plenty of tools now promise an "AI visibility score". Most hide how the number was made. Here is a simple method you can trust, and the mistakes to avoid.

A method in four rules

  1. Ask buying questions, never brand questions. "Best self tan for fair skin under £20" tells you something; "Is Brand X good?" does not.
  2. Repeat each question. The same prompt can name different brands on different runs. Three samples per question is a sensible minimum.
  3. Always show the denominator. "Mentioned in 3 of 15 answers" can be checked. "Visibility 62" cannot.
  4. Say where the answers came from. API answers can differ from what a consumer app shows the same person.

Two numbers that are often confused

MeasureWhat it means
Mention rateThe share of answers that mention your brand at all
Share of brand mentionsYour mentions divided by all brand mentions across the answers

A brand can appear in half the answers yet hold a small share if every answer lists ten competitors. Report both, and never blend them into one score.

What a result can and cannot tell you

A sampled result tells you how often an assistant, asked those questions on that date, mentioned you. It does not tell you what every shopper sees, and "not mentioned in 15 answers" is not proof that AI never recommends you. Re-run the same question set over time and compare like with like.

Revenue Shield offers a free report built on these rules. Run a free AI visibility report.

Frequently asked questions

Why do AI answers about my category keep changing?
Assistants generate answers probabilistically and many search the web as they answer, so results vary between runs and over time. That is why repeated samples matter.
Is an API answer the same as what ChatGPT shows a shopper?
Not necessarily. Consumer apps add their own context, memory and features. Treat API results as a consistent benchmark, not a copy of any one person's screen.

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