AI and search visibility, tuned to your category.
GEO for practices: be the name AI recommends when patients ask.
Patients now ask ChatGPT 'best dentist near me' or 'top dermatologist for adult acne' before opening Google Maps. We engineer your practice to be the one AI names - with correct specialties, insurance, and locations.
What your buyers actually ask AI.
What is going wrong right now
Patients ask AI before they ask Google
The first shortlist a patient sees is generated, not searched. If your practice is not in the model's answer, you never enter the consideration set.
Provider data is inconsistent across the web
Credentials, specialties, and locations differ between your site, directories, and review platforms, so models cannot resolve one confident answer.
Insurance questions go unanswered
'Do they take my plan?' is the question that ends most searches. If that answer is not structured, the model recommends someone else.
Reviews are strong but unstructured
Great reviews spread across Google, Healthgrades, and Zocdoc do nothing for AI unless they are aggregated into signals a model can cite.
What you get
Specialty entity graph
MedicalBusiness + Physician schema for every provider, subspecialty, and procedure your practice offers.
Local + 'near me' coverage
Location-anchored citations so AI cites your practice for city, neighborhood, and zip-code prompts.
Review-signal engineering
Structured aggregation of Google, Healthgrades, Zocdoc, RealSelf, and specialty-specific review sources.
HIPAA-safe posture
No PHI, no patient-identifying data ever surfaces in signals. Institutional, compliant, defensible.
Condition + procedure pages
Retrieval-optimized content for every condition and procedure - the pages AI actually pulls answers from.
Credential surfacing
Board certifications, fellowships, residencies structured so AI treats your providers as authoritative.
How it works step by step.
Patient-prompt audit
We probe 25+ AI models with the exact 'near me,' specialty, and condition prompts patients use.
Practice + provider schema
Every provider and location modeled as a canonical entity with credentials and specialties.
Citation + review stack
Placement across Healthgrades, Zocdoc, WebMD, and specialty publishers AI models cite.
Monthly re-scoring
Screenshots from ChatGPT, Gemini, Claude, and Perplexity showing your practice climbing.
What changes for you
- Your practice and each provider resolve as one consistent entity across the web.
- AI answers name your practice for the specialty and location prompts patients use.
- Insurance, hours, and procedure questions get answered accurately without a phone call.
- New-patient enquiries arrive already pre-qualified by the model that recommended you.
Frequently asked questions
Is this HIPAA compliant?+
Yes. We never touch PHI. Every signal is public-facing, aggregated, and compliant with HIPAA marketing rules.
Do you cover multiple locations?+
Yes. Each location is modeled as its own entity with correct hours, insurance, and localized citation surface.
What about specialty practices like plastics, ortho, or fertility?+
Especially those. High-consideration specialties see the largest AI-referral lift because patients research heavily via AI before booking.
Do you handle insurance and Medicare information?+
Yes. Accepted insurance and Medicare/Medicaid status are structured so AI can answer 'do they accept my insurance?' accurately.
How fast do we see new-patient calls?+
Most practices report their first 'AI told me to call you' inquiries within 45–60 days.
Ready to get recommended by AI?
Allocation is capped. Apply now to see if your business qualifies.