Category
How generative AI search — ChatGPT Search, Perplexity, Google AI Overviews and the like — behaves, and the conditions under which a clinic gets cited as a source.
Related entities: ChatGPT Search / Perplexity / Google AI Overviews / Generative Search
We empirically tested the common claim that "if you write an FAQ, AI will cite it verbatim" across 30 questions × 5 AI search environments and 150 responses. Zero verbatim matches. And a more important fact: search itself often does not happen.
A procedure for observing how your clinic is treated in AI search, without any special tools. How to frame the questions, which environments to try, how to keep records, and why you should not judge from a single result.
A site right after launch does not appear in AI's recommendation lists. The first installment of a record that observes, over time, the distance between readability and recommendation, using this site itself as the subject.
Reflection in AI search does not necessarily stabilize right after publication. Rather than judging immediately after publishing, we organize when to observe and when to suspect a technical problem.
When patients ask an AI about medical institutions, how are clinics and doctors compared? This article organizes the information you want to have in order—across your website, doctor profiles, reviews, case examples, and FAQs—so that AI conveys your clinic's information correctly.
If you ask an AI once, you can get some sense of how your clinic appears and where it can improve. But AI answers change depending on the wording of the question, the model, the flow of the conversation, and the timing. Deciding your strategy from a single answer is risky. This article organizes the premises for continuously observing how medical institutions are treated in AI search.
How medical-institution information is handled in Google AI Overview / AI Mode, ChatGPT, Claude, and Perplexity. We organize the differences in perspective to the extent needed for management decisions.