IAB publishes a standard for measuring AI visibility

What happened?

The IAB has published Measuring Visibility in the AI Era, a framework that standardizes how visibility in AI answers is measured. It defines core metrics such as mention rate and citation rate, sorts measurement quality into two tiers, directional and decision grade, and lists what measurement vendors must disclose about their methods. The IAB reports that more than 20 companies now sell AI visibility tools, with methods different enough that two tools can return different results for the same organization, and that only 16 percent of brands track AI visibility systematically today.

Why does it matter?

Until now there was no shared definition of what counts as a mention or a citation in an AI answer, so numbers from different tools could not be compared. The framework also states plainly that AI platforms are not deterministic: the same question asked twice can return different answers, different sources, and different framing. A single check of your visibility is therefore one sample, not a verdict. For a small team, the useful lesson is not the vendor procurement detail. It is the habit of reading any AI visibility number as a range, not a score.

Should I do anything?

Nothing urgent, but adjust one habit the next time you check your visibility. Ask the same important question three or four times, on different days if you can, and note how much the answers move before you react to any single result. If a free tool reports a score, treat it as directional, a trend signal rather than a precise figure. Keep a simple log of what you asked and what came back, so that over time you can tell a real change from normal variation.

Learn more

• IAB framework: Measuring Visibility in the AI Era (PDF)
• Our guide: conduct an AI visibility audit