How do patients use AI to find a med spa?

The behavior has shifted from scanning ten blue links and a map pack to reading a single synthesized answer. Patients ask conversational, high-intent questions — what a treatment costs, whether it's worth it, who's best for a specific concern — and the assistant replies with a short, opinionated shortlist of providers. Industry surveys put a majority of consumers as having used generative AI for personal health decisions, and that share is climbing.

The cost question is the one closest to booking. When someone asks "how much does Botox cost in <city>," they're comparing providers with intent to act — and Google's AI Overview answers that exact question by naming specific local clinics and their per-unit prices. That makes "Botox cost in <city>" the single most valuable query a med spa can be named in.

The consequence for clinics is that the AI does the shortlisting before the patient ever clicks. If your clinic isn't in the written answer, you're not in the consideration set — no matter how strong your reviews or how much you spend on ads, because the patient may never scroll to the links below the answer. The shortlist is decided by what the AI can read and cite, not by reputation alone.

The practical move is to check what the AI actually says for your city today, then make sure your clinic is the one it can name. You can run the search yourself — ask ChatGPT or Google "how much does Botox cost in <your city>" and see who gets named — or run a free Renownly scan to see where you stand across the engines.