What a Useful Healthcare AI Visibility Report Should Show
Evaluate an AI visibility report using scope, denominators, evidence and decisions. Separate factual accuracy, citations, visits and appointment outcomes.
Read the guide →Measurement articles
Practical GetPatients guides to measurement for healthcare practices. Browse the library and choose your next step.
AI Citations, Website Visits and Appointments: Keep the Numbers Separate
Build a measurement dictionary for AI discovery and booking. See why citations, sessions, clicks, requests and confirmed appointments cannot be combined blindly.
Read the guide →A Focused Search Console Review for Healthcare Practice Owners
Use Search Console to inspect priority practice pages, compare relevant search patterns and assign useful fixes. Preserve ownership and understand reporting limits.
Read the guide →Design an AI Visibility Question Set You Can Compare Over Time
Build a stable AI visibility question set by intent, service and location. Record context, score factual observations and keep exploratory prompts separate.
Read the guide →Ask About AI Discovery Without Pretending Attribution Is Exact
Combine optional discovery-source feedback with approved website measurements while keeping AI mentions, visits and appointments separate.
Read the guide →Choose an Action When AI Visibility Evidence Disagrees
Use evidence conditions and a decision record to separate source corrections, unresolved AI answers, changed samples and unsupported content proposals.
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