Be the practice AI recommends when a patient asks.
Patients now ask ChatGPT and Google's AI for a dentist or doctor before they book. We make sure your practice is in the answer — with marketing that respects professional advertising standards.
Patients ask AI before they book.
Around two-thirds of healthcare searches now trigger an AI Overview. When a prospective patient asks for a recommendation, the engine returns a short list of practices. If yours isn't named, you never entered the consideration set.
AI traffic is a small share of sessions today, roughly 1–2%, but it's the highest-intent visitor a practice can get: someone actively asking who to see. Low volume, high conversion.
of healthcare queries trigger an AI Overview
AI-referred visitors convert vs organic search
the value of organic visitors, from AI-referred traffic
of AI brand mentions come from third-party sources
Why generic agencies fail practices.
Healthcare advertising is bound by professional standards — the rules your regulatory college sets on claims, testimonials, and how you can describe your services. A generic agency will write copy that converts and quietly breaks those standards. Every deliverable we publish passes a compliance review against the standards for your profession first.
- No prohibited or unverifiable clinical claims.
- Testimonial and before/after handling that respects your college's rules.
- Scope-of-practice language kept accurate and defensible.
- Compliance review gate before anything publishes under your practice's name.
The Foundation Build.
A one-time engagement that gives AI engines a clean, corroborated, extractable picture of your practice. Itemized, delivered to spec.
AI Visibility Audit & Competitive Benchmark
We test 50+ high-intent patient queries across ChatGPT, Perplexity, Gemini, and Google AI Overviews, and map who's being named instead of you.
Entity & Schema Architecture
Organization, MedicalBusiness or Dentist, Physician, and FAQ schema so engines can identify your practice, your providers, and your services.
Service Answer Library (15–20 pages)
Answer-first pages engineered for AI extraction — one per service and high-intent patient question, written to be lifted directly into an AI answer.
Authority & Citation Placement
Placement across the third-party sources AI engines trust. Roughly 85% of AI brand mentions come from third-party sites, not your own.
Measurement Stack
GA4 with AI-referral segmentation, call tracking, and booking source capture, so every new-patient enquiry is traced to its source.
AI Advertising Readiness
Advertiser verification and healthcare-category application prep, so paid AI placements clear review when you're ready for them.
See where you stand — free.
A quick AI-visibility audit shows exactly what ChatGPT says about you today.
The ongoing program.
Each month we expand the answer library, win and defend new citations, keep schema and provider data current, and report share-of-voice across the engines — tied to tracked new-patient consultations, not vanity metrics. Compliance review stays in the loop on everything published.
Case study: Lunar Smile Dentistry
A full write-up is in progress — baseline benchmark, foundation build, and citation results. Numbers will be published here once verified and approved. [PLACEHOLDER]
What we will and won't promise.
What we commit to
- Deliver every item in the Foundation Build to spec.
- Test and report against a fixed set of high-intent patient queries.
- Measure results against booked consultations, transparently, every month.
- Route every deliverable through professional-standards compliance review.
What we won't
- Guarantee you'll be cited in AI answers — no one can control model output.
- Promise a specific ranking, placement, or number of new patients.
- Publish claims that risk your standing with your regulatory college.
- Report vanity metrics that don't tie back to consultations.
Questions, answered straight.
See what AI says about you today.
A free AI visibility audit shows you exactly which queries you're missing and who's being named instead.