Your questions, not vanity queries
We track the searches that would actually fill your schedule — procedure, insurance, neighbourhood, urgency — not whether an assistant can find you when someone types your practice name.
Platform
Know whether it worked, without taking our word for it.
Every month we run the questions your patients actually ask against every major assistant and record whether you were named, who was named instead, and how the answer was worded. Your audit is the baseline; everything after is a comparison.
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Why this matters now
AI visibility is the easiest thing in marketing to sell and the easiest to fake, because most AI referral traffic carries no referrer and cannot be traced in your analytics. A vendor who cannot show you citation movement is asking you to fund a belief.
Every engine, on a schedule
ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews weight sources differently and drift independently. Each is checked separately, so you see where you are gaining and where you have slipped.
Who is named instead
The more actionable half of the report. When you are absent, someone else is present — and what they have that you do not is usually specific and fixable.
What you get
A baseline before anything changes
The audit establishes where you stand on day one. Improvement becomes a comparison rather than an assertion.
Early warning when you slip
Citations decay when information goes stale. Tracking catches a drop while it is still a fix rather than a quarter of lost visibility.
Something you can verify yourself
Open an assistant and ask the same question. If our report and your own test disagree, we have a problem worth hearing about.
How it starts
1
Agree the question set
The twenty or so patient questions that matter most in your specialty and metro.
2
Establish the baseline
We run them across every engine before any work starts, and that becomes your before.
3
Re-run and compare
Monthly, with movement attributed to what actually changed on your footprint.
FAQ
Common questions
Yes, by systematically querying the assistants rather than waiting for analytics to tell you. There is no ranking API for AI answers the way there is for search position, so measurement means running the real questions on a schedule and recording the real output. That is what citation tracking is, and it is the only honest way to do it today.
Because many assistants pass no referrer, and some answer the patient's question entirely without a click. Analytics will systematically under-count AI influence, which is why we report citation share as the leading indicator and count booking clicks, local rankings, profile impressions, and reorder revenue as the directly attributable part. Anyone quoting you a precise AI-attributed revenue figure today is overstating what the data supports.
Listing and profile corrections propagate within days. Citation change typically takes six to twelve weeks, because assistants refresh their sources on their own schedules and because accumulated content and corroboration compound rather than switch on. Less competitive metros move faster.