Definition
Share of mind is the proportion of relevant AI-generated answers where a brand appears compared with its competitors. For answer-engine teams, it translates prompt-level mentions, citations, and competitor overlap into a single executive visibility metric that answers the question, “across the prompts our buyers ask, how often do we show up versus everyone else?”
How Share Of Mind Is Calculated
Conceptually, share of mind is the count of answers featuring a brand divided by the total relevant answers tested across a defined prompt and competitor set. The inputs come from lower-level signals: an AI mention when the brand is named, an AI citation when an owned page is referenced as a source, and the relative presence of competitor brands in the same answers. Because those signals vary by prompt and engine, share of mind is only meaningful when the prompt set, competitor set, and engines are held stable between measurements.
Why Share Of Mind Matters
A single prompt result is too narrow for a decision. One answer might omit a brand for phrasing reasons that do not generalize. Share of mind gives teams a broader, comparative view of whether the brand is consistently present in the answers buyers actually see, and whether that presence is rising or falling against named competitors. It is the metric that turns scattered AI visibility data into something an executive can track over time, which is part of the wider move beyond rankings explained in AEO versus traditional SEO.
How To Measure Share Of Mind
Define a prompt set that reflects real buying and research tasks, a competitor set of the brands you expect to appear, and a reporting cadence. For each prompt, record brand mentions, competitor mentions, citations, cited source URLs, and answer framing, then aggregate into a share figure per engine and per prompt group. Report trends rather than isolated screenshots, because a one-off capture cannot show direction. Comparing your presence against rivals for prompts you should own is what competitor AI visibility is built to surface, and the underlying measurement method is documented in our AI visibility tracking methodology.
Related Terms
Related terms include AI visibility, competitor AI visibility, brand mention rate, share of answer, and answer engine optimization.