Measuring AI visibility
How often should I measure AI visibility?
Why monthly is the sweet spot
The inputs that move AI visibility — third-party coverage, reviews, content updates, competitor activity — change on a scale of weeks. A monthly cadence is frequent enough to catch a real shift and slow enough that the shift is bigger than the noise.
It also matches the pace at which you can act. Measuring weekly produces data faster than anyone can respond to it.
When to measure off-cycle
Re-measure after a rebrand, a pricing change, a major launch, a migration, or a change to robots.txt or rendering. All of these can move visibility sharply in either direction.
Also re-measure when a competitor makes a visible move. Share of voice is zero-sum within an answer — their gain is usually someone's loss.
See where you actually stand
We ask AI engines the questions your buyers ask and show you whether you were named, who was named instead, and which sources they cited. Free.
Related questions
Ask the engines the questions your buyers ask, then record whether you were named, in what position, who was named instead, and which sources were cited. Run the same prompt set on a fixed schedule so results are comparable. Ad-hoc spot checks feel informative but cannot show movement.
Technical fixes such as unblocking crawlers or server-rendering content can show up within days on browsing engines. Content and structural work typically moves the needle in four to eight weeks. Earning independent coverage and reviews — the strongest signals — usually takes one to two quarters to compound.
On a 0–100 scale, most established brands land between 40 and 65. Above 70 usually means an engine names you unprompted in open category questions; below 35 means you are found only when someone already knows your name. The number matters far less than which underlying signals are dragging it down.
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Last reviewed 2026-07-30.