How to measure AI search visibility with a simple prompt panel

To measure AI search visibility, first accept that there’s no fixed position to track. A search results page is stable enough for a position to mean something. An AI answer is written fresh each time: ask the same question twice and the wording, the businesses named and the sources cited can all change. Personalisation, location and settings add more variation.

So the useful question is: across answers to these questions, how often are we named, and how often are we cited? That’s a proportion, estimated from samples, with a margin of error.

Google’s documentation says traffic from AI Overviews and AI Mode is counted in Search Console’s Performance report under the Web search type, but not shown on its own. Most other assistants give site owners no report at all. A prompt panel fills that gap.

A spreadsheet is enough to start: one row per answer, with these columns, gives you every rate with a simple count.

Put these next to the numbers in every report, so nobody makes a decision the measurement can’t support.

Start with accuracy. If assistants get your services, prices or locations wrong, fix the sources they draw on first: your own pages, your Business Profile, and the directories and comparison pages that describe you. Then work on being mentioned more often.

Next, look at the stages where competitors are named and you aren’t. Those gaps usually point to missing content or pages that don’t answer the question. Published research suggests content changes can shift how often a source appears in AI answers. The GEO paper by Aggarwal and colleagues is one widely cited study, though its test conditions aren’t your market.

BOOSTD’s plans run this kind of sampled check on a schedule, and every plan includes it. Whether you use a tool or a spreadsheet, hold it to the method above.