Litode insights
Practical thinking for hospital teams turning AI discovery into more scheduled appointments while keeping measurement HIPAA compliant and free of patient data.
Learn how patient intent, service lines, and geography shape healthcare AI search visibility. Use the Care Radar methodology to assess accuracy and recommendations.
Healthcare organizations are putting a lot of work into governing the AI they use. There is another side of the problem that gets much less attention: the AI patients use to learn about them.
AI search is becoming a healthcare marketing priority. Explore six dimensions of measurement: access, presence, position, accuracy, outcome, and change.
New research reveals just 46.2% average overlap between Google AI Overview citations and traditional search results across 900 healthcare searches. Here is what that means for healthcare marketing teams.
Why now is the best time for health systems to build AI visibility as patients begin asking AI assistants for care recommendations.
What hospital marketing leaders should measure as patient discovery moves into ChatGPT, Gemini, Claude, and other AI answer engines.
A practical framework for comparing appointment-ready AI visibility across competitors, directories, and owned properties.
See where AI assistants send demand without using patient data, PHI, medical records, or private patient conversations.
Additional materials
AI visibility is more than a mention.
For healthcare teams, the more useful questions are: Can AI retrieve the right information? Does your organization appear? Who appears instead? Is the answer accurate? And ultimately, does that visibility lead somewhere meaningful for the patient?
This short video introduces a practical way to think about AI search measurement beyond a single visibility score — from access and presence to position, accuracy and outcome.
Because knowing that you appeared in an AI answer is useful. Understanding what happened around that answer is much more valuable.
AI-generated answers can influence healthcare discovery before a patient reaches a hospital website. See how that zero-click journey works.
Your website matters. But information about physicians, locations and services exists across a much broader ecosystem. Here’s why that matters for AI-generated answers.
Litode helps healthcare organizations understand how they are represented across AI-generated answers and how that representation changes over time.
Explore AI Search ObservabilityAbout Litode
Litode was created by the ArgmaxML team after 10+ years of building, researching, and applying AI systems for real business workflows.
We decided to build specifically for healthcare marketing because these teams are being asked to understand a fast-changing AI discovery layer with limited time, limited visibility, and high trust requirements. Our goal is to simplify that work and turn what we learn from AI research into practical visibility, governance, and growth tools for healthcare organizations.
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