How we measure whether AI search is actually working
AI search is new enough that plenty of people will sell you a dashboard full of impressive-looking numbers that mean nothing. Since the goal is getting your Glen Allen business named when a buyer asks ChatGPT, Perplexity, or Google's AI for a recommendation, the measurement has to track that — not vanity. Here is what we watch, and what we deliberately ignore.
The core metric is presence in the answer. We run the real prompts your customers use — "who's a good roofer near Glen Allen," "best HVAC company in the Innsbrook area," "reliable electrician in Henrico County" — across the major assistants, on a schedule, and record whether your business is named. Not whether you rank on a page. Whether you are in the sentence the buyer reads. Over time, the honest question is simple: are you appearing in more of those answers than you were last month?
Underneath that, two supporting measures tell us why. The first is citation and mention footprint — how often the sources AI models pull from actually reference your business, and whether your description is consistent across them. AI systems name businesses they can describe confidently, and confidence comes from being referenced the same way in enough trustworthy places. The second is answer accuracy: when you do get named, is the assistant describing you correctly — right services, right service area, right specialty — or hedging and garbling the details? A named-but-wrong result is a problem we can see and fix.
What we ignore is just as important, because it's where most "AI visibility" reporting hides:
- Raw impressions and reach numbers that count how many times a page was crawled, not how many times a buyer heard your name.
- A single lucky screenshot of one assistant naming you once — a snapshot proves nothing without repeated, scheduled checks across different phrasings.
- Keyword "scores" borrowed from traditional SEO tools that don't actually query the assistants at all.
- Follower or engagement counts, which have nothing to do with whether an AI recommends you.
This matters more in Glen Allen than in most markets. The Innsbrook corridor and the higher-income households around Twin Hickory and Deep Run are exactly the buyers already asking assistants for recommendations the way they'd ask a neighbor — so a real gain in AI presence here converts to real calls, not just a nicer report. The measurement is deliberately concrete: are you in the answer, are you described correctly, and is that improving month over month. If you want to see how the visibility work itself is built, the AI Search page lays out the structured-data and content side that earns those mentions in the first place.