The engagement runs in four stages. The first one is diagnostic and you keep the findings regardless of what you decide next.
We inventory every public trace of your practice — profiles, listings, directory entries, reviews, news mentions and search positions — and grade each one for accuracy and impact. You receive the findings whether or not you engage us further.
Corrections first, then construction. Duplicate listings are merged, wrong details fixed, schema deployed, profiles standardised, and your tone profile is calibrated so generated content sounds like you wrote it.
AI does the watching and the drafting; you do the approving. Content, review responses and correction requests arrive in one queue, and high-severity items escalate the same day.
One report, written in plain language: what moved, what did not, and what we are changing next month. No vanity dashboards, no metrics that cannot be tied to a patient decision.
Reputation work in healthcare goes wrong in predictable ways. These are the rules we do not bend, even when a client asks.
No generated text reaches a patient without a named clinician signing off. The audit trail records who approved what and when.
Fabricated reviews breach platform policy and put professional registration at risk. We only surface real patients.
Review responses never confirm, deny or reference a specific encounter. Templates are built with that constraint first.
Accounts, listings, content and data remain yours. If you leave, you keep the assets and the access.
It is the cheapest way to find out whether you have a problem worth solving.
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