Patients aren't searching. They're telling AI what's wrong.
Inside ChatGPT, Claude, Gemini, and Perplexity, patients describe symptoms, diagnoses, and life moments. AI names a provider. Aethon makes sure that's you.
The conversations driving demand in Patient Acquisition.
Every sub-vertical has a handful of triggers that move AI from context to recommendation. Here’s the Patient Acquisition starter set, tuned to your specific business in onboarding.
“I've had this pain in my lower back for three weeks and Tylenol isn't touching it. What kind of doctor do I see?”
- Primary care vs. specialist guidance
- Imaging referrals
- Urgent care vs. ER
- Telehealth fallback
“My doctor said I have type 2 diabetes. I'm overwhelmed. What do I do first?”
- Endocrinologist referral
- Diabetes educator
- CGM device makers
- Nutritionist
“I need a hip replacement but I want a second opinion. Where do I go?”
- Specialty centers
- Surgeon comparison
- Insurance navigation
- Recovery facility
“Open enrollment is coming. My doctor's not on the new plan I want. What should I do?”
- Plan comparison tool
- Network adequacy check
- Cost-of-care estimate
- Continuity of care
Where Patient Acquisition recommendations are formed.
These are the publications, communities, and platforms that disproportionately shape how AI names brands in your sub-vertical. The action queue is built to land you here.
Concrete deliverables for Patient Acquisition teams.
Onboarding is fast because the work is concrete. Here’s what lands in your workspace in the first 30 days.
Patient-acquisition moment library
Every diagnosis, symptom, life-stage, and plan-change moment AI is responding to in your service area, mapped to your specialty mix and patient demographics.
Live AI share-of-recommendation
Real-time monitoring across ChatGPT, Claude, Gemini, and Perplexity. Track per-service-line share against the systems competing for the same patients.
Source-authority gap report
Which clinical authorities and patient communities AI cites for your service lines, and the highest-leverage citations to earn first.
AI-to-appointment attribution
Wire AI mention data to your scheduling system. Measure how many AI recommendations turn into scheduled visits, and which service lines convert best.
Patient Acquisition questions, answered
Can hospitals really track patient acquisition through AI?
Yes. Aethon measures AI's recommendation behavior in aggregate, then ties it to your scheduling and intake systems so you can quantify the AI channel. We don't read individual patient queries.
Does AI actually recommend specific hospitals or just say 'see a specialist'?
Both, depending on context. For high-stakes conditions, AI tends to name specific systems (Mayo, Cleveland Clinic, MD Anderson, regional leaders). For routine care it routes to category or insurance-defined options. Aethon maps where you fall in each.
What about HIPAA?
Aethon is a market-intelligence platform. We don't process PHI. We monitor AI behavior at the category and provider-brand level, not the patient level.
Which service lines see the most AI-driven patient acquisition?
Orthopedics, oncology, fertility, pediatric subspecialties, behavioral health, and bariatrics see the most AI-driven discovery. High-cost, high-decision-complexity care benefits the most.
How do we measure ROI on AI-driven patient acquisition?
Aethon's attribution layer tracks recommendation share, scheduled appointments, and downstream revenue per service line. Median customers see 8-15% lift in net new patient volume within 90 days.
Can independent practices use Aethon or is this just for systems?
Both. The Starter and Pro plans are sized for independent and small group practices; Business and Enterprise are for multi-site systems and ACOs.
See where your brand stands in Patient Acquisition AI conversations.
Drop your domain. We’ll run your brand against the Patient Acquisition moment library, show you where AI is naming you, where competitors are landing instead, and the three highest-leverage actions to fix it.