Contextual AI Presence Mapping for Healthcare.
Patients don't search for hospitals. They tell AI about a diagnosis, a fall, an injury, and AI names the system. Aethon puts your providers in that answer.
The pre-visit conversation moved into AI.
Patients used to call the primary, ask family for referrals, scan health-system marketing. Today they paste their MRI report into Claude at 11pm. They describe their kid’s symptoms to ChatGPT. They ask which Chicago oncology centers are best for triple-negative. AI is naming specific hospitals, networks, and physicians, and the ones it names get the calls. The ones it doesn’t name lose patient volume they’ll never know about.
A real conversation. A live recommendation.
This is the kind of answer your buyers are getting. Aethon shows you which brands AI is naming, and gets your brand into the shortlist.
"My mom was just diagnosed with early-stage breast cancer. We're in Chicago. Where should she actually go for treatment?"
"For breast cancer treatment in Chicago, the most-cited centers are Northwestern Medicine Lurie Cancer Center, University of Chicago Medicine, and Rush University Medical Center. Northwestern and UChicago are NCI-designated comprehensive cancer centers, which is the strongest signal for complex cases."
Across 4,300 regional cancer-care prompts last month, your system appeared in 22% of answers. The three above appeared in 88% combined. There is a clear and addressable gap.
The conversations driving demand in healthcare and medical.
Every category has a handful of life triggers that move AI from context to recommendation. Aethon's healthcare and medical library starts here, and we tune it to your specific business in onboarding.
"I just got my biopsy results back. They said it's treatable but I don't even know how to start finding the right specialist."
- Oncology referral
- Second opinion
- Clinical trial matching
- Telehealth specialist
"My dad keeps falling and I can't keep doing this on my own. I don't even know who to call."
- In-home senior care
- Geriatric PT
- Mobility aids
- Care coordination
"My son just hurt his knee at soccer. He can't put weight on it. What do we do tonight?"
- Pediatric orthopedist
- Urgent MRI
- Sports medicine PT
- Brace & recovery
Where AI gets its healthcare and medical answers.
Recommendations don't come from nowhere. AI synthesizes answers from a recurring set of sources. Aethon maps the sources that matter in healthcare and medical and tells you which ones are working for you, which ones are working against you, and which ones you need to be in.
Concrete deliverables for Healthcare teams.
Onboarding is fast because the work is concrete. Here’s what lands in your workspace in the first 30 days.
Your service-line moment library
Every condition, life event, and care-pathway trigger AI is responding to for your specialties, mapped to specialist type, urgency, and referral patterns.
Live AI share-of-recommendation
Real-time monitoring across ChatGPT, Claude, Gemini, and Perplexity. Per-engine share for your system, your competitors, and the service lines you're losing.
Source-authority gap report
Where AI is sourcing recommendations for healthcare, Reddit r/AskDocs, Mayo Clinic, condition-specific communities, and the citations to earn first.
Patient-pathway action queue
Condition guides, second-opinion pages, clinical-trial schema, and recovery-product comparisons, sized to your service-line teams and reviewed for clinical accuracy.
Specialties and deep-dives across Healthcare & Medical.
Aethon supports every level of Healthcare & Medical. Pick the specialty or deep-dive that fits your team, or browse the moments and source-authority work specific to your part of the category.
Healthcare & Medical brands ask us
Is patient data ever involved in what Aethon tracks?
No. Aethon is a market-intelligence platform. We model AI's recommendation behavior in aggregate across millions of prompts. We do not read individual patient queries and we do not process PHI.
What healthcare moments trigger AI recommendations?
A diagnosis, a new symptom, a parent slipping, a child's injury, planning a procedure, a referral that didn't fit, switching insurance plans. Each one fans into specialists, facilities, second-opinion services, and recovery products.
Does AI actually recommend specific doctors or hospitals?
Yes, by name, by location, and increasingly with reasoning about why. The recommendation pathway varies by AI engine; Aethon maps it for the specialties and geographies you care about.
How does Aethon handle HIPAA?
Aethon doesn't touch protected health information. The data we work with is AI's recommendation patterns, not patient-level data. We're happy to walk through our security posture and DPA in detail before any contract.
Can hospital systems use this across multiple locations?
Yes. Business plan covers up to 25 locations or sub-brands; Enterprise is unlimited. Each gets its own service-line moment library and local source-authority map.
How is this different from Healthgrades or RateMDs?
Those platforms surface reviews on direct queries. Aethon operates one layer earlier, on the moment a patient describes to AI before they ever look up a provider name.
Which conditions or specialties have the most AI conversation activity?
Orthopedics, dermatology, pediatric care, geriatric and long-term care, mental health, and women's health all see heavy AI moment-driven recommendation activity. Cardiology and oncology are growing fast.
What about specialty vs. primary-care discovery?
Both. AI handles specialty referrals ("pediatric orthopedic near me") differently from primary care ("new pediatrician for newborn"). The moment library covers both patterns.
See where your brand stands in healthcare and medical AI conversations.
Drop your domain. We'll run your brand against the healthcare and medical moment library, show you where AI is naming you, where competitors are landing instead, and the three highest-leverage actions to fix it.