The IAB’s August 3 guidance sorts AI visibility data into three tiers: exploratory, directional, and decision grade. Only the third is fit to move budget. Here is the 12-question scorecard that places your own vendor in about twenty minutes.

The IAB published "Measuring Visibility in the AI Era" on August 3. For the first time, AI visibility measurement has a shared vocabulary, a metrics hierarchy (the 4 P's), and a named line between decision-grade and directional data.

Prompt volume promises to do keyword volume's job for answer engines, but with an extra modeling step and no first-party check. A close read of what AthenaHQ's 95%+ accuracy claim does and doesn't disclose.

Data from 147,934 AI search queries across 256 brand tracking projects shows Gemini and Perplexity cite YouTube almost every time they answer a query. Here is what that means for brands that do not run a YouTube channel.

AI visibility scores move because answer engines are stochastic. Here’s how to tell when a ranking is stable, the gaps are real, and the number is solid enough to act on.

70% of brand appearances in AI search answers vanish on the next query run. Most visibility metrics in the category aren't built to account for it.