For med spas · a short read
Why AI recommends some med spas — and forgets others
Someone new to injectables opens ChatGPT and types, "where should I get Botox near me — somewhere gentle for a first-timer?" In a second, it names two or three practices. Here's what it actually read to decide, and why some med spas keep getting named while others never come up.
A first-time client isn't shopping for a deal. She's about to let a stranger put a needle near her face, and she's a little nervous — what if it looks frozen, what if they overdo her lips. She can't judge an injector's hands from a website, so she leans on the two things she can see: what other people say, and how clearly a practice explains itself. AI leans on the very same things, for the same reason.
What AI actually reads
ChatGPT doesn't keep a ranked list of med spas. When someone asks, it pulls from the open web and writes an answer in the moment. When researchers looked at where AI answers about local businesses come from, a rough order showed up again and again:
- Your own website — the source cited most often. It's where AI confirms who you are, what you do, and where.
- Mentions on other sites — being written about elsewhere: local roundups, press, an aesthetics blog, a Wikipedia-style reference.
- Directories and review platforms — Google Business Profile, and for aesthetics, places like RealSelf and Yelp. Some assistants lean on data from mapping providers like Foursquare underneath.
A fair caveat: these are patterns people have observed, not a formula the AI companies publish — and they shift as the models change. Treat them as a sensible bet on where to spend effort, not a cheat code.
The pattern behind who gets named
Across those sources, the med spas that get recommended tend to share four plain traits. None of them are tricks:
- Reviews that are strong and recent. For aesthetics this is the big one. A third of shoppers now filter for 4.5 stars or higher, and many won't consider a business with only a handful of reviews. Fresh matters too — people trust recent reviews far more than old ones.
- Answers on your own pages. If your site plainly covers what you do — Botox, lip filler, what a first visit is like, rough pricing — AI has something concrete to quote. If it just lists service names, there's little to say about you.
- Listings that match everywhere. Same name, address, phone, and hours on your site, Google, and the directories. When those disagree, the model gets unsure who you are and reaches for someone it's confident about.
- A few good mentions elsewhere. Being named on other trusted sites is one of the most consistent trust signals. One study found pages that back up claims with specifics and quotes earned noticeably more visibility in AI answers.
A small, made-up example
Meet the Glow Room — a stand-in, not a real client, so nobody's named unfairly. Picture a genuinely good two-injector spa. Lovely work, warm regulars. But ask ChatGPT for the best place for filler in their city and they never come up. Why?
- Their Google reviews are strong but trickle in — the last one was four months ago.
- Their site is a beautiful gallery with almost no words for AI to read.
- Their hours say one thing on Google and another on Yelp.
None of that is broken, exactly. It's just quiet. Tidy the listings so they agree, make it easy for happy clients to leave a recent review, and add a few honest pages — what first-time filler is like here, how they keep it natural, what it runs — and you've given AI something to find, understand, and trust. Over the following weeks, the Glow Room starts turning up in answers it used to miss.
Honest about the ceiling: this isn't a switch you flip. Answers vary by how someone phrases the question and which day it is, and no one can promise a ranking. What you can do is build the signals that make you more likely to be named — then watch whether the answer actually moves.
What you can do this week
Ask ChatGPT a few of the questions your clients would — "best med spa for Botox in [your city]," "gentle place for first-time lip filler near me" — and read the answer honestly. Are you in it? How are you described? Who gets named instead? That two-minute check is the whole thing in miniature. Spread runs it for you on a schedule, so you're watching a trend instead of guessing — and helps with the parts above, one step at a time.
FAQ
How does ChatGPT decide which med spa to recommend?
It reads the open web and writes an answer from what it finds. In studies of AI answers for local businesses, the sources named most often are the business's own website, then mentions on other sites, then directories and review platforms. So a clear website, consistent listings, and recent reviews all feed the answer. These are observed patterns, not a published formula, and they shift as the models change.
Why does AI name a competitor instead of my med spa?
Usually because the competitor is easier to find, understand, and trust. Their listings match across the web, their reviews are recent and strong, and their pages answer the exact question that was asked. When your signals are thin, out of date, or inconsistent, the model reaches for a practice it feels more sure about.
How much do reviews matter for showing up in AI answers?
A lot, for med spas especially. Buyers lean on reviews to feel safe about a treatment, and AI leans on that same third-party consensus. Recent surveys show a third of people now filter for 4.5 stars or higher, and many skip a business with very few reviews. Breadth and recency across Google and aesthetics platforms tend to matter more than one glowing testimonial.
If I improve these things, am I guaranteed to get recommended?
No, and be wary of anyone who promises that. AI answers vary by wording, city, and the day. What you can do is improve the signals that make you more likely to be named, then measure whether the answer actually moves over the following weeks. It is a trend to build, not a switch to flip.
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