Do this right now. Open ChatGPT, type "best med spa for Botox near [your city]," and read the answer. Is your practice there? If you're like most med spa owners I talk to, the answer is no — even if you have a solid website, a stack of five-star reviews, and years of Google SEO investment behind you. You show up on Google Maps. You rank for a few local keywords. Your review count looks respectable. But when a patient asks AI, you're not in the room. That's the gap nobody warned you about. And it's opening faster than most practices realize.
For the past decade, local search meant one thing: Google. Patients typed "Botox near me," clicked the map pack, read a few reviews, and booked. You optimized for that. You built citations, earned reviews, kept your Google Business Profile tidy. The playbook worked.
Then, quietly, the behavior shifted.
ChatGPT has grown into a genuine search destination — not a novelty tool, but the first place a meaningful and growing share of patients go when they want a recommendation. Younger patients especially. The ones who are deciding right now whether to book their first filler appointment or try a new provider. This isn't a future trend. It's happening in your market right now.
The patient experience looks different today. Someone thinking about lip filler doesn't just Google it. They ask ChatGPT: "What should I know before getting lip filler?" They follow up: "Who does good lip filler in [city]?" They get a specific answer — three or four practices named, with brief explanations of why each one was recommended. Then they book. If you're not in that answer, you don't exist for that patient. They never reach your website.
Here's the thing that stings a little: strong Google SEO is not the same as AI visibility. They're related, but they're not the same problem.
What we keep seeing, over and over, is practices with solid traditional SEO that are completely overlooked when someone asks AI, "What's the top med spa nearby?" Their competitors — sometimes weaker ones — are getting recommended instead. This isn't an outlier situation. It's the default outcome for practices that built for Google ranking and never considered how AI reads their online footprint.
Traditional SEO optimizes for one thing: appearing in a ranked list of links. AI search does something different — it synthesizes information from multiple sources and produces a recommendation with reasoning. To make that recommendation, it needs to trust you. Trust, in AI terms, is built from different signals than ranking.
Here's what AI search actually reads:
Entity clarity. AI needs to unambiguously understand what you are, where you are, and what you do. If your business name, address, and phone number aren't consistent across Google, Yelp, Healthgrades, RealSelf, and every directory listing, you create doubt. In our experience, even a small number of NAP mismatches can quietly stop AI from recommending you. It's not dramatic — the AI just picks someone else whose signals are cleaner.
Review specificity, not just review volume. Your star rating matters less than what your reviews actually say. A review that reads "Amazing results with my lip filler" is far more valuable to AI than "Great place, 5 stars." AI reads review text to understand what treatments you're known for. Generic praise doesn't signal anything specific. Treatment-level detail does.
Content that answers real patient questions. AI surfaces practices whose websites speak in patient language — specific, question-based content about individual treatments, cost ranges, recovery, and candidacy. A single keyword-dense service page doesn't cut it. A page that explains the difference between Botox and Dysport, how long lip filler lasts, or whether there's downtime with a HydraFacial gets read, extracted, and used as a source.
Structured data. Schema markup — specifically LocalBusiness, MedicalBusiness, FAQPage, and Service schema — tells AI exactly how to categorize and understand your site. Most clinic websites have zero schema implemented. It's one of the most common gaps we see, and one of the easiest to fix.
Google Search is still foundational — but not sufficient. Your Google presence is the floor. AI models heavily reference Google's ecosystem when forming local recommendations. But being strong on Google alone doesn't guarantee you make the cut. It's a necessary condition, not a sufficient one.
The practices that consistently appear in AI recommendations aren't doing anything exotic. What they have is compound, sustained credibility — the kind that builds over years rather than quarters.
When we look at med spas that show up reliably across ChatGPT, Google AI Overviews, and Perplexity, a few things stand out every time:
Notice what that list is: it's not a list of tricks. It's a description of a practice that's been building real credibility over time and made it easy for AI to recognize and confirm that credibility. Most practices have the foundation. They just haven't built the structure on top of it.
The majority of med spas we talk to are missing the same things. The scale of the problem is bigger than most owners expect — and almost none of it is obvious from the inside, because Google rankings can look fine while AI visibility is nearly zero.
Start with the Google Business Profile. This is the primary local data source for AI across Google AI Overviews, ChatGPT Search, and Perplexity. Most GBPs we see have outdated hours, incomplete categories, no secondary services listed, an inactive Q&A section, and the same handful of photos from years ago. AI doesn't have much to work with when that's all it finds.
Beyond GBP, here's what's typically missing:
Treatment-level review signals. Most med spas coach for volume: "Please leave us a review!" Nobody coaches for specificity. The result is a lot of reviews that say "love this place" and very few that mention Sculptra, microneedling, or the specific injector a patient saw. AI needs the detail. Generic sentiment doesn't help it understand what you actually do.
FAQ content that maps to how patients actually ask. Not keyword-stuffed blog posts. Actual answers to the real questions: How much does Botox cost in [city]? What's the difference between RHA filler and Juvederm? Can I work out after laser hair removal? These questions live in patient conversations every day. They should live on your website.
Schema markup. FAQPage schema on your FAQ content. Service schema on each treatment page. LocalBusiness schema on your contact and location pages. Without it, AI has to guess at your site's structure. With it, you're handing AI the answer. It's an afternoon of work with a clear return, and it's missing from the vast majority of practice websites.
Consistent external presence. AI validates local businesses by looking for confirmation across multiple sources. If you appear on your website but are thin or absent everywhere else — not on RealSelf, Healthgrades, local press, aesthetics association directories — that's a weak signal. Businesses with consistent, authoritative listings across platforms are far more likely to be mentioned in AI summaries than ones with a strong website and nothing backing it up.
Google's own AI Overviews add another layer to this. The informational questions your prospective patients ask before they're ready to book — "how long does Botox last," "what's recovery like after a chemical peel," "is there downtime with laser resurfacing" — are increasingly answered by AI Overviews, not by a list of links to click through. The patient gets their answer without visiting anyone's website. The practices that get included in those answers get the trust halo. The ones that don't never enter the conversation.
This is the research phase. Patients are forming opinions and shortlists before they ever visit a booking page. The practices that show up in that phase earn the booking. The ones that don't are invisible to those patients regardless of how good their actual services are.
The direction is clear: AI will increasingly handle the research phase and surface the most relevant answer rather than a list of options. For local healthcare and aesthetics practices, that transition is already underway. The question is whether you're positioned for it.
You don't need to rebuild your entire digital presence. You need to close specific gaps.
1. Audit your Google Business Profile. Hours accurate? Primary category correct (Medical Spa)? Secondary categories complete? At least ten high-quality photos, including treatment rooms and before/after results? Q&A section active and populated? If any of those are a "no," that's where you start.
2. Change how you coach reviews. Stop asking for "a quick review." Ask patients to mention the treatment they had and one specific thing they noticed — the result, the comfort level, the injector's explanation. "She walked me through exactly what to expect with my Sculptra and my cheeks look completely natural six months later" is what AI extracts and uses. "Great experience, 5 stars" is noise.
3. Build treatment-specific FAQ content. One page per treatment isn't enough. Each treatment page needs a FAQ section that answers the real questions: cost range, recovery, candidacy, longevity, what to expect during the appointment. Write them in conversational language, the way a patient would actually ask — not the way a marketing team would write a brochure.
4. Implement schema markup. FAQPage schema on FAQ sections. Service schema on treatment pages. LocalBusiness and MedicalBusiness schema in your site's structured data. If your web developer says this is complicated, they're wrong. It's a defined, well-documented task with a clear return on the investment.
5. Audit your NAP consistency. Google, Yelp, Healthgrades, RealSelf, Zocdoc, Facebook, your website footer — every listing should show the identical business name, address, and phone number. Every mismatch is a trust signal problem for AI. Clean it up.
6. Build external presence. Get mentioned in local wellness coverage. Submit for aesthetics industry recognition. Make sure your practice is listed in every relevant directory. These aren't just backlinks — they're the external confirmation AI looks for when deciding whether to recommend you. A strong website with nothing backing it up is a thin signal.
The mistake most practices make is starting to fix things without knowing what's actually broken. They add schema to the homepage, get a few treatment-mention reviews, and assume they're covered. Then they check ChatGPT three months later and they're still not there.
You need to know your actual AI visibility before you prioritize anything. Which AI platforms mention you? Which ones don't? Which competitors are showing up instead of you, and why? What's the specific gap that's keeping you out of the answer?
That's exactly what Cornflower was built to answer. It scans your practice's online presence across ChatGPT, Google AI Overviews, and Perplexity, then produces a visibility report showing exactly where you appear, where you don't, and what's driving the gap.
The free scan takes about two minutes. You'll know more about your AI visibility than most practices ever bother to check.
Run your free Cornflower scan →
If you're visible everywhere, you'll know. If you're not, you'll know exactly where to start.