Strong on reviews and listicle presence. The structured-data gap is what a competitor closes to take your spot in the answer.
Today, for "how much does Botox cost in Frisco", Google's AI Overview says Botox runs $10–$18 per unit ($200–$600 a session) and pulls those numbers from 13 sites — leading with:
U Med Spa is not cited. Your future patient reads Google's AI answer, sees those clinics' names and prices, and books one of them — before they ever find you. Those clinics didn't get there by accident: it comes down to how their information is published for AI to use.
And that patient is worth more. People who arrive from an AI recommendation convert up to ~4.4× more often than a regular search click (Semrush, 2025) — the AI already did the comparison for them, so they show up closer to booking.
Run the search yourself → This is live — you'll see exactly what your patients see.
It's the same in ChatGPT and Perplexity — and in the Gemini AI that now powers Siri on every iPhone. They all answer from the clinics that make their content AI-readable.
Here's ready-to-paste structured data for U Med Spa. It helps AI understand who you are — a useful foundation, but not what wins the citation. The bigger lever is the dedicated cost page + corroboration the clinics above have (and that we build for you). Drop this into your site's <head>, fill the three placeholders, to start:
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "MedicalBusiness",
"@id": "https://umedspa.com/#business",
"name": "U Med Spa",
"description": "Medical spa in Frisco, TX offering Botox, dermal fillers, and aesthetic treatments.",
"url": "https://umedspa.com",
"telephone": "REPLACE_WITH_YOUR_PHONE",
"address": {
"@type": "PostalAddress",
"streetAddress": "REPLACE_WITH_STREET",
"addressLocality": "Frisco",
"addressRegion": "TX",
"postalCode": "REPLACE_WITH_ZIP",
"addressCountry": "US"
},
"medicalSpecialty": "Dermatology",
"priceRange": "$$"
}
</script>
That's one business entity, by hand. Renownly does this across your whole site — every treatment, every FAQ, all verified against your real facts, then tracked monthly across Google, ChatGPT, Perplexity & Gemini. Want the rest done for you?
Ready to move now? The $497 AI Visibility Sprint gets your dedicated cost page + structured data built, published, and the corroborating sources submitted in 10 business days — or your money back. Credited toward CORE if you continue. One clinic per city, first come. · Or run a free 30-second scan.
Your future patients have stopped scrolling ten blue links. They open ChatGPT, Perplexity, or Google's AI Overview and ask one question — "What's the best med spa in Plano for Botox?" — and act on the single answer the AI gives back.
You earned the lead the hard way. The risk is structural, not reputational: AI answers are assembled from machine-readable facts, and a newer competitor with a fully structured site can get cited over you even when you'd win on quality. This audit is about defending the lead you already have.
Credit where it's due: your site already carries MedicalBusiness JSON-LD with address, geo-coordinates, hours, phone, and a nine-item service list — more structured data than most clinics in your market. Your name, location, providers, and 4.9-star reputation are unmistakable. That's why you're named first today.
But two things AI engines lean on heavily are missing. First, your 1,000+ reviews are nowhere in your schema — there's no AggregateRating, so the single strongest fact you own is invisible to the machine layer. Second, your FAQ content carries no FAQPage markup and there's no pricing in extractable text. Those are exactly the hooks an engine grabs to answer high-intent buyer questions.
| Factor | Status | Score |
|---|---|---|
| Structured data | MedicalBusiness + Service present; no AggregateRating, FAQPage, or provider/Physician markup partial | 15 / 25 |
| Machine-readable FAQ / Q&A | FAQ content exists but zero FAQPage / Question schema gap | 4 / 15 |
| Indexable pricing + treatment detail | Rich treatment pages; no prices ("reviewed at consultation"), no Offer markup partial | 11 / 20 |
| llms.txt / crawler signals | No llms.txt (404); robots.txt has a sitemap but no AI-crawler directives gap | 2 / 10 |
| Reviews / authority | 1,000+ reviews, 4.9 avg, est. 2007, "Top 1% US injectable practice" strong | 13 / 15 |
| Presence in AI-cited listicles | #1 in live AI search for both cities; dedicated Frisco page; in directory ecosystems strong | 13 / 15 |
| Total | Market leader with a fixable structured-data gap | 58 / 100 |
Where you score high (reviews, listicles) is the part competitors can't easily copy. Where you score low (FAQ schema, llms.txt, pricing/rating markup) is the part they can close in a few weeks of engineering — and that's precisely the part that decides the AI answer.
This is the single hardest signal to fake and the one AI engines weight most for medical trust. It's why you're cited today. The only miss is that it's not yet expressed in schema where the machine can read and re-state it.
For "best med spa Plano TX botox" and "best med spa Frisco TX," U Med Spa is the first named result, with a dedicated Frisco landing page reinforcing the second city. You're defending a leading position, not building one from zero.
You have a MedicalBusiness block, but no AggregateRating. The 1,000+ reviews / 4.9 rating that make you the leader can't be lifted by an engine from your own site — your biggest advantage is the one fact your schema doesn't state.
Your FAQ content has no FAQPage / Question schema. Engines pull patient-question answers (recovery time, candidacy, "does it hurt," cost) straight from FAQ markup — yours can't be lifted, so those answers get sourced from other clinics.
Pricing is deferred to the consultation ("we review pricing"), so an AI literally cannot answer "how much is Botox at U Med Spa?" — and competitors publishing a per-unit number win that exact high-intent prompt. There's also no Offer / priceRange in your schema.
There's no llms.txt (returns 404) and no AI-crawler directives in robots.txt. It's the cheapest, fastest win — a clear signal telling answer engines which pages to prioritize — and right now nothing tells them.
Also worth tightening: provider credentials (PA-C, FNP-BC, RN) are in your visible copy but not marked up as Physician/Person entities, and a near-empty LocalBusiness stub duplicates your main block. Both weaken citation confidence.
For Plano/Frisco aesthetic queries, answer engines lean on the sources they can parse cleanly: structured clinic sites, high review counts, and the "best med spa" listicles (MedSpa Scout, Yelp, ThreeBestRated). You win on review count and listicle presence — that's not in dispute. The exposure is on the questions below the headline: "how much is Botox," "what are the FAQs," "who are the providers." A newer clinic with full AggregateRating + FAQPage + pricing schema can be the one the AI quotes for those, quietly siphoning the high-intent traffic where the decision actually gets made. The window to close that gap first is open now.
The guarantee: every word we publish is grounded only in facts you verify — your real services, prices, and credentials. A verification step rejects anything unsupported before it ships. No invented claims, ever. That's the difference between AEO and the "compliance widget" vendors.
A 15-minute call. We'll show you the exact schema, FAQ, and pricing changes that lock in your #1 position — and where competitors are already closing in on AI answers.
Book a 15-minute AI visibility call