Why AI recommends other med spas instead of yours

The uncomfortable data on med spas and AI

We didn't theorize this. We ran the same free check we sell on 32 real U.S. med spas — from Scottsdale and Newport Beach to Charlotte, Nashville, Dallas, and beyond — asking each spa's buyers' real questions ("best med spa in [city]," "where should I get Botox / filler in [area]," "is [spa] any good?") across ChatGPT and Perplexity. Here is what came back:

• Average AI Visibility Score: 30 / 100. The best spa in the set scored 83; the most common score, by far, was 17. Two-thirds of the field (22 of 32) scored under 30.
• Half the spas scored 17/100 — the floor. Sixteen of the 32 landed at exactly 17: they show up occasionally but are out-named everywhere they appear.
• Named in only ~45% of answers. Across all 174 AI answers we collected, the subject spa appeared in just 78 of them — so most times a client asks AI about your market, you simply aren't in the reply.
• 17 of 32 spas were nearly invisible — appearing in two or fewer of six AI answers about their own city.
• The field is brutally fragmented. Across these audits the engines named more than 30 different competing med spas by name — specific, confident recommendations, going to someone else. Ask twice and the shortlist often reshuffles, which is exactly why a single lucky screenshot proves nothing.

If you've never checked and assumed AI "probably mentions us," the base rate says otherwise: the typical med spa is worse than a coin-flip to appear, and a near-certainty to lose to someone else.

Why med spas are one of the hardest categories to win

Medical aesthetics is a worst-case category for AI visibility, for reasons specific to how the field works:

• It's saturated and hyper-local. Every metro has dozens of spas all optimizing the same "[city] med spa" and "Botox near me" phrases. The AI has an enormous, contradictory menu — so it leans on whoever has the strongest independent signal, not the prettiest website.
• Review platforms and directories carry the day. For "near me" service categories, AI engines weight third-party corroboration — Google, Yelp, RealSelf, local roundups — far above what your own site says. If the spas named ahead of you own those pages, you lose the answer.
• A few polished names dominate each market. Spas with heavy cross-platform review presence and roundup mentions show up disproportionately in what the engines retrieve, so the AI reaches for them by default — even when a better-fit local spa exists.
• Your own site barely counts. "We're the top med spa in town" on your homepage is worth almost nothing to an engine looking for what others say about you. This is the single biggest reason spas with beautiful sites and strong booking still don't get named.

What "loses to a competitor" actually means for your spa

When an AI answer names three or four med spas and yours isn't among them, that's not a ranking you dropped a spot in — it's a consult that went to someone else, before the client ever typed your name into Google. The buyer asked an intelligent assistant for a recommendation, got a shortlist, and started booking. Increasingly, people treat that shortlist the way they used to treat the top of the search results: as the answer. In a category where a single new injectable or laser client is worth hundreds to thousands of dollars in lifetime value, being absent from the shortlist for your own city isn't a marketing nicety — it's booked appointments going to the spa the AI trusts instead.

The five things that actually move AI recommendations for med spas

In priority order — the work, not the theory:

1. 1Measure your real frequency first — don't guess from one answer. Ask ChatGPT and Perplexity your clients' real questions several times and count how often you appear, and who's named instead. A single answer is noise (remember: 30+ different rivals surfaced across our audits). The honest baseline is a frequency, which is exactly what a check gives you.
2. 2Get into the third-party pages the AI already trusts. Being named in a "best med spas in [city]" roundup, a local business directory, and cross-platform review pages does far more than any claim on your own site — because those are the pages the engine retrieves and quotes.
3. 3Build consistent reviews across more than one platform. Cross-platform review presence — Google and Yelp and RealSelf, not one perfect profile — is what these engines read as consensus for local service categories. Spas that win are corroborated in several places.
4. 4Publish answer-shaped, structured pages on your own site. Treatment and location pages with clear headings, plain factual statements, and LocalBusiness/MedicalBusiness structured data are easier for a retriever to extract and cite. Keep the facts (name, treatments, service area) identical everywhere.
5. 5Keep one consistent story across every listing. Same spa name, same treatments, same city across your site, directories, and reviews. Contradictions make the engine hedge or pick a source it trusts more — and hand the answer to a rival with a cleaner identity.

Why the spa down the road gets named and you don't

The skills overlap with SEO, but the target moved: from "rank on the results page" to "be the spa named inside the answer."

Why you can't fix what you haven't measured

Here's the trap that wastes the most effort in this category: a single AI answer is not a measurement. These engines are nondeterministic — ask the same "best med spa in [city]" question twice and you frequently get a different set of spas, because the live search returns slightly different pages each time (we have the run-to-run data). That's why 32 spas produced 30-plus distinct rivals in the answers. So one screenshot with your name is false comfort, and one with a competitor is false panic. The only honest baseline is a frequency: across many runs, how often does the AI name you — and which spas does it name when it doesn't?

That's the measurement AskedAbout exists to give you. Start with a free 60-second check — your spa name, "med spa," and your city — and you'll see your AI Visibility Score (0–100), how often ChatGPT and Perplexity mention you, and which competing spas they recommend in your place. Then the $79 one-time Full Audit tells you which fixes matter most: 25 buyer-intent questions across ChatGPT, Perplexity, Gemini, and Claude, sampled 3 times each — 300 answers in all — reporting your mention rate per engine, share-of-voice against the spas taking your slot, and the exact third-party sources the engines cite when they build a shortlist without you. One payment, no subscription.

A realistic timeline (so you don't quit a month in)

Moving your AI recommendation rate is a compounding effort, not a switch. A genuinely new source page — a fresh roundup mention, a corrected directory listing, a wave of new reviews — can start showing up in answers within weeks once search indexes it, but building enough corroborated presence to be named reliably in a saturated aesthetics market takes months. The spas that win treat it like SEO: get an honest baseline now, change the inputs deliberately (the directories, the reviews, the consistent facts), and re-measure on a cadence to see what actually moved. The spas that lose either never measure, or change one thing, screenshot it once, and give up while the spa down the road keeps compounding.

Where AskedAbout fits

AskedAbout doesn't do the marketing for you — it tells you, specifically and in priority order, what to fix and whether it's working, across the four engines your future clients actually ask. The free check gives you a baseline in 60 seconds. The $79 audit turns "why doesn't AI recommend us?" into a concrete, ranked to-do list tied to your real mention frequency per engine and the actual sources each one cites about med spas in your city — so you know which roundups, review sites, and directories to get into first. You hand the fix plan to whoever runs your marketing, do the work above, and re-check to confirm the shortlist changed. Measure, fix, re-measure — with an honest number instead of a screenshot.

Methodology

Benchmark figures are from 32 AskedAbout free checks of U.S. med spas across roughly 20 metro areas, run June–July 2026. Each free check submits three buyer-style questions ("best med spa in [city]," "where should I get Botox / filler in [area]," "is [spa] a good choice?") to two answer engines — ChatGPT and Perplexity — for six AI answers per spa (174 completed answers in all across the set). Each answer is parsed for the subject spa and competitor mentions by a judge model, and the AI Visibility Score (0–100) is computed over completed answers. "Named in ~45% of answers" is 78 of 174 completed answers; "beaten by a competitor" means a rival named more often than the subject. The "more than 30 distinct competing med spas" figure is the count of unique rival spa names across the audits. The paid $79 Full Audit widens this to 25 questions across four engines (adds Gemini and Claude), sampled three times each (300 scheduled answers). We query official engine APIs, which approximate but do not perfectly match the consumer apps — we say so. Subjects anonymized; aggregate benchmark data only, never customer-identifiable; figures refresh as the audit corpus grows.

See also

• Built for your business: AI visibility for med spas — the vertical page with the fix checklist.
• The category and the other engines: why AI recommends competitors instead of you · how to show up in ChatGPT recommendations · how to get recommended by Perplexity.
• The data: the local-business AI visibility benchmark · AI answers change every time you ask · AI visibility tools compared.
• Other local verticals: for dentists · why AI ignores your law firm.

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