Drive MedTech Decisions Through AI
Clinicians, procurement teams, and hospital administrators use AI to evaluate medical devices and technology solutions. Be the clear recommendation before the RFP starts.

Challenges
Every feature is designed to give your team a measurable edge in AI search visibility for this specific use case.
How AthenaHQ helps
Built for
MedTech Visibility
Monitor which medical devices and platforms AI recommends across surgical, diagnostic, therapeutic, and monitoring categories.
Track how AI represents your device's clinical evidence, FDA/CE clearance status, indications, and performance data.
Understand how AI shapes hospital and health system purchasing decisions before your team is in the room.
Ensure your clinical publications, study data, and evidence packages are being cited as authoritative sources by AI platforms.
Proven Results
Instant ROI on
the Metrics that Matter
Real-Time Analytics
Your AI Visibility,
Quantified
FAQ
Frequently
Asked Questions
Clinical decision-makers ask AI to compare device specifications, surface clinical evidence, and summarize trial outcomes. Procurement teams use AI to benchmark vendors and build initial evaluation shortlists. Athena ensures your device is accurately and favorably represented in both contexts.
Use Cases
How Healthcare Teams Use AthenaHQ
Be the provider AI recommends when patients ask for healthcare recommendations. Ensure your physicians and facilities appear in AI referral conversations.
Monitor how AI represents your medical services, treatments, and clinical capabilities. Flag inaccurate health information before it reaches patients.
Build and protect your providers' reputations across AI platforms. Ensure AI positions your physicians as trusted experts in their specialties.
Monitor AI outputs about your organization with healthcare compliance in mind. Athena never processes PHI while still giving you full visibility into AI content.
Get your specific service lines and specialties recommended by AI for relevant patient queries. From cardiology to orthopedics, own the AI conversation in every department that drives volume.



