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  Something strange is happening in patient acquisition. Practices with excellent reputations and strong Google rankings are watching new patient volume plateau or decline. Meanwhile, competitors with comparable credentials seem to attract patients effortlessly. The explanation often comes down to three letters: AI. Patients increasingly ask artificial intelligence for doctor recommendations—and most practices are completely invisible to these systems. Here's what physicians need to understand about this rapidly growing discovery channel. What Exactly Are Patients Asking AI About Healthcare? Patients approach AI assistants the way they'd ask a knowledgeable friend for advice. "I've been having migraines twice a week for the past month. Should I see a neurologist, and who's good in Denver?" "My mom needs a hip replacement but she's 78 and has diabetes. Who specializes in complex cases like hers?" "I want a cosmetic dermatologist who do...

  A patient decides they need a specialist. A friend or their primary care doctor gives them a name. Not long ago, that name led straight to a phone call. Today, it leads to a search box—and increasingly, to an AI that decides whether the recommendation holds up. John Spencer Ellis, founder of Reputation Return, has built his work around this new checkpoint, helping trusted physicians make sure they're the ones who clear it rather than the ones quietly filtered out. The Search Habit Doctors Haven't Accounted For At the center of Ellis' message is a change in how patients look for care. Over half of patients under 50 now use AI platforms such as ChatGPT, Claude, Google AI Overview, Gemini, and Perplexity to find a physician. These tools behave nothing like the search results doctors are accustomed to. Instead of returning a list to browse, they surface only three to five named providers per query, and everyone else effectively disappears. Ellis makes the stakes concrete. ...