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How physical therapists get recommended by AI

Patients and referring physicians increasingly ask AI assistants "best physical therapy near me," "PT for a torn ACL" or "does this clinic take my insurance" — and the answer is built from your Google Business Profile, reviews, health directories and whatever your site makes machine-readable. Physical therapy clinics tend to underperform because their sites bury the deciding facts — specialties (sports, ortho, pelvic-floor, vestibular), conditions treated, accepted insurance, direct-access availability — in prose a model can't reliably extract, so the assistant can't confirm you're the right fit and names a clinic whose signals are cleaner. The clinics that get recommended give assistants exactly what they need: consistent NAP everywhere, a Physiotherapy/MedicalBusiness schema block, condition-and-specialty pages written as direct answers, and recent reviews that name specific injuries and outcomes. Do that and "a PT clinic near you" becomes your clinic's name.

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FAQ

Why doesn't AI recommend my PT clinic?Because assistants can't confirm your specialties, conditions treated or insurance from brochure-style prose. Without structured, consistent data across your site, Google Business Profile and health directories, the model recommends a clinic whose facts are clearer.
What matters most for a physical therapist's AI visibility?A complete Google Business Profile, Physiotherapy/MedicalBusiness schema, plainly-written specialty and condition pages that answer patient questions, accurate insurance and direct-access info, and recent, specific reviews — echoed on health directories.
How do I check if AI recommends my clinic?Run a free Cited scan — it checks the AI-search readiness signals on your website (crawler access, llms.txt, structured data and answer-ready content) and lists the fixes to make first.

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Most businesses score under 40/100 and have no idea. Find your score in 15 seconds, then fix it.

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