Grow your patient base, on 
ChatGPT.
Halo.
Perplexity.
Gemini.
Claude.
Grok.
Meta.
When patients ask AI for a doctor, does your practice come up?
Family doctor in Minneapolis that takes Blue Cross and accepts new patients
Family doctor in Minneapolis that takes Blue Cross and accepts new patients
Built for Healthcare.
Insurance Panel Visibility
Structure your accepted insurance plans so AI can match patients to your practice based on their coverage. When someone asks "psychiatrist near me that takes United Healthcare," your practice surfaces.
Specialty & Condition Mapping
Map your clinical expertise to the plain language patients use. When someone says "my kid gets ear infections a lot," AI connects that to your pediatric otolaryngology practice, not just ENT in general.
Telehealth Discovery
Make your virtual care options visible to AI so patients asking for telehealth appointments in your specialty can find and book with your practice.
Multi-Provider Practice Support
For group practices, each provider gets their own AI profile with individual specialties, credentials, and availability, while the practice maintains a unified presence.
Patient Review Surfacing
Aggregate patient reviews from Google, Healthgrades, Zocdoc, and Vitals so AI can reference your patient satisfaction track record when making recommendations.
Referral Network Visibility
Make your referral relationships visible to AI so it can recommend your practice as part of a care pathway, e.g., a primary care referral to your cardiology practice.
Why AI presence matters for Healthcare.
Patients ask AI for provider recommendations, not just symptom info
It's not just "what causes knee pain" anymore. Patients are asking AI "who's a good orthopedic surgeon near me that takes Blue Cross" and "find me a dermatologist in Austin who does Mohs surgery." These are high-intent, ready-to-book queries. But AI can only recommend providers it has structured information about, your Healthgrades profile alone isn't enough.
Your specializations and credentials are invisible to AI
Board certifications, fellowship training, subspecialties, clinical interests, accepted insurance panels. These are the differentiators patients care about. But AI assistants can't parse this from your website's About page. When a patient asks for a pediatric cardiologist who accepts Aetna, AI needs structured data to connect that query to your practice.
Telehealth and new patient availability aren't reaching AI
You offer telehealth visits, accept new patients, and have same-week availability, but AI doesn't know any of this. When a patient asks "can I get a virtual dermatology appointment this week," AI can't recommend you because it can't see your current availability or telehealth capabilities.
Built in minutes
Practice discovery audit
We analyze how AI assistants respond to patient queries about your specialties in your area. You'll see where your practice appears, where it doesn't, and what competitors show up instead.
Provider profile build
We structure your credentials, specialties, insurance panels, telehealth options, and patient access information into an AI-ready provider profile, mapped to how patients actually search for care.
Cross-platform deployment
Your provider profile goes live across ChatGPT, Claude, Gemini, and other AI platforms. When patients ask AI for help finding a provider in your specialty, your practice is in the conversation.
Monitor patient discovery
Track how often AI recommends your practice, for which conditions and specialties, and how that converts into patient inquiries and appointments. Refine your profile based on real data.