AnswerLift · AI Visibility Audit

When patients ask AI for the best med spa in McKinney, does it name BeauxMD?

Prepared for BeauxMD Medical Aesthetics · 260 E. Davis St, Suite 600, McKinney TX 75069
June 2026

The shift

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 McKinney for Botox?" — and act on the single answer the AI gives back.

<5%of aesthetic practices are optimized for AI answers today
1 answerAI names a short list, not a page of results — you're in it or invisible
30–60 daysto start appearing in Perplexity once optimized

That's a problem and an opening. The clinics that get cited in AI answers over the next few months will compound a lead that's very hard to unseat. Right now, almost no one in McKinney has claimed it.

Your AI visibility score

33 out of 100
33/ 100
A real head start on the basics — but the answer-engine essentials are missing.

BeauxMD is ahead of most McKinney clinics: you already have a LocalBusiness listing, a 5.0★ / 288-review rating in your markup, and even an llms.txt file. That's rare. But the layers that actually win a patient's question — medical/service schema, your physicians in machine-readable form, an extractable FAQ, and real pricing — aren't there yet. So when an engine assembles a "best med spa in McKinney" answer, it can confirm you exist but can't confidently answer about you.

Structured data schema.org / JSON-LD
9 / 25
Machine-readable FAQ FAQPage Q&A markup
0 / 15
Indexable pricing & detail real prices, treatment specifics
3 / 20
llms.txt / crawler guidance AI-crawler signal
7 / 10
Reviews & authority credentials, review footprint
8 / 15
Presence in AI-cited lists Yelp, ThreeBestRated, locators
6 / 15
Total33 / 100

Where BeauxMD stands today

Findable by people — partly extractable by AI

Your name, your Davis St address, your phone, your 5.0★ / 288-review reputation, and the fact that you're physician-owned under Dr. Barstad with NPs Tracy Bounsing and Mariana Marquis are clear to a human reading the site — and you've already done more than most: a LocalBusiness listing and an llms.txt file are both present. But when an answer engine assembles a recommendation, it needs to pull specific, structured facts — which exact treatments, at what price, delivered by which credentialed provider — and confidently attribute them to you. On that axis, the deeper layers still give the AI very little to work with.

Bottom line: AI engines can already see that BeauxMD exists and is well-reviewed, but they still can't reliably answer a patient's actual question about your treatments, prices, or providers — so for those questions they answer about a competitor instead.

What we found

Five concrete gaps on beauxmd.com
1
Structured data stops at the front door

You have LocalBusiness + Organization + AggregateRating markup — a good start most clinics lack. But there's no MedicalBusiness/MedicalClinic, no Service or MedicalProcedure schema for Botox, fillers, or facials, and no per-treatment detail. AI engines trust this medical layer most to decide what you actually treat — and it isn't there.

2
FAQs aren't AI-readable

There's no FAQ section carrying FAQPage / Question schema anywhere on the site. AI answer engines pull patient-question answers (recovery time, candidacy, "does Botox hurt", how long it lasts, cost) straight from FAQ markup — yours can't be lifted, so those answers get sourced from other McKinney clinics.

3
No pricing or treatment specifics in indexable content

Services are named, but with no prices anywhere and no per-treatment pages an engine can quote. An AI literally cannot answer "how much is Botox at BeauxMD?" — one of the most common high-intent buyer prompts — so you forfeit it to whoever did publish a number.

4
Your llms.txt is present but thin

Good news: you already have an llms.txt (most clinics don't). It carries your name, address, and rating — but nothing about your treatments, pricing, or providers, and no per-page guidance. It's a foundation that's only doing a fraction of its job.

5
Physician credentials aren't surfaced for AI

Being physician-owned is your strongest trust signal — and AI engines weight expertise heavily for medical topics. But Dr. Barstad and your NPs appear only as page text, with no Physician / Person schema, licensing, or attributable bio. That advantage is currently invisible at the moment it matters most.

The competitive reality

Who AI recommends for "best med spa in McKinney" — and why

For McKinney/Allen/Frisco aesthetic queries, answer engines lean on the sources they can parse cleanly: structured clinic sites, high review counts, and the "best med spa" listings (Yelp, ThreeBestRated, TexasOnTheMap, Buoy Health, the Allē locator). You appear on some of those — ThreeBestRated names BeauxMD as one of McKinney's three best — but you're absent from the larger 15-spa roundups, and a physician-led competitor in McKinney with full MedicalClinic schema, a real FAQ, and surfaced credentials gets named more often across the exact sources these engines cite. Not because they're better — because they're easier for a machine to read and attribute. With no medical schema and no published pricing, BeauxMD is at real risk of being left out of the answer for high-intent treatment queries, even where you'd win on a 5.0★ reputation.

The fix

What AnswerLift does — and what we never do
Extend your existing markup to full LocalBusiness + MedicalBusiness + Service + FAQPage structured data across the site
Build AI-ready treatment pages (Botox, Dysport, fillers, facials, and your other offerings) with pricing, specifics, and the questions patients actually ask
Surface Dr. Barstad's and your NPs' physician credentials, and upgrade your llms.txt with treatment + credential signals so engines cite you with confidence on a medical topic
Track your AI share-of-voice across ChatGPT, Perplexity, Gemini and Google AI Overviews — and send you a monthly report of the questions you now win

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.

30–60 days
Start appearing in Perplexity
3–6 months
Citations in ChatGPT & Google AI Overviews
Monthly
Share-of-voice report — proof, not promises
Want the full fix mapped to your site?

A 15-minute call. We'll show you the exact pages and questions to claim first — and where your competitors are already ahead in AI answers.

Book a 15-minute AI visibility call
How this was assessed: a structured review of your live website (beauxmd.com) for the signals AI answer engines use to extract and cite a business — schema.org/JSON-LD, machine-readable FAQ, indexable pricing and treatment detail, llms.txt/crawler guidance, surfaced provider credentials, and review/authority footprint — cross-referenced with how those engines currently assemble responses to McKinney-area aesthetic queries and which sources they cite (June 2026). The score above is a 0–100 weighted rollup of those six factors; each bar shows the points earned out of that factor's maximum. A full engagement includes live, repeated multi-engine probing for your specific treatment + location queries.