AnswerLift · AI Visibility Audit

When patients ask AI for the best med spa in Lewisville, does it name Black Iris?

Prepared for Black Iris MedSpa · 870 Hebron Pkwy Ste 103, Lewisville TX
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 Lewisville 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 your market has claimed it.

Your AI visibility score

30 / 100 — strong content, no machine-readable layer
30of 100

You've done the hard part — real treatment pages, real FAQs, real reviews. What's missing is the structured layer that lets an answer engine lift those facts and attribute them to you with confidence.

Structured data (schema.org / JSON-LD)2 / 25
Machine-readable FAQ5 / 15
Pricing & treatment detail9 / 20
llms.txt / AI-crawler guidance0 / 10
Reviews & authority signals9 / 15
Third-party listicle presence5 / 15

Where Black Iris stands today

Findable by people — not yet extractable by AI

Your name, phone, and Hebron Pkwy address are clear, your treatment pages read well, and your reviews are warm and specific. But when an answer engine assembles a recommendation, it needs to pull specific, structured facts — services, prices, providers, candidacy — and confidently attribute them to you. On that axis, your site currently hands the AI almost nothing it can lift cleanly.

Bottom line: AI engines can see that Black Iris exists, but they can't reliably answer a patient's actual question about you — so they answer it about a competitor instead.

What we found

Five concrete gaps on blackirismedspa.com
1
No structured data (schema.org / JSON-LD) anywhere

We checked the homepage and your Botox treatment page — there are no application/ld+json blocks, so no LocalBusiness, MedicalBusiness, Service, or FAQPage markup. This is the machine-readable layer AI engines trust most to extract who you are, what you treat, and where. Without it, you're guesswork.

2
Your FAQs exist but can't be lifted

Your Botox page already answers eight real patient questions — how long it lasts, does it hurt, candidacy, side effects. That's excellent content. But with no FAQPage schema wrapping it, answer engines can't attribute those answers to Black Iris, so they get sourced from other clinics that marked theirs up.

3
No pricing in indexable content

Your pages reference "exclusive pricing per Botox unit" but never put a number in extractable text. An AI literally cannot answer "how much is Botox at Black Iris?" — and that exact question is one of the most common high-intent buyer prompts. You forfeit it.

4
No llms.txt / AI-crawler guidance

blackirismedspa.com/llms.txt returns 404. There's no signal telling AI crawlers what to prioritize. It's the cheapest, fastest win and you don't have it.

5
Provider credentials aren't surfaced for AI

Black Iris is led by a board-certified M.D., and that's a powerful trust signal — but your treatment pages only say "experienced and licensed injectors" generically. AI engines weight expertise heavily for medical topics; named providers with credentials, presented in extractable text, materially raise citation confidence.

The competitive reality

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

For Lewisville/Carrollton aesthetic queries, answer engines lean on the sources they can parse cleanly: structured clinic sites, high review counts, and the "best med spa" listicles (Yelp, ThreeBestRated, MedSpa Scout). Clinics that pair strong reviews with a machine-readable site get named repeatedly. Black Iris has the reviews and the content — but with no structured layer and thin third-party listicle presence, you're at real risk of being left out of the answer entirely, even where you'd win on actual quality and price.

The fix

What AnswerLift does — and what we never do
Ship LocalBusiness + MedicalBusiness + Service + FAQPage structured data across your site
Wrap your existing FAQs in schema and build AI-ready treatment pages (Botox, filler, microneedling, PRP) with pricing, specifics, and the questions patients actually ask
Surface your M.D.-led credentials in extractable text and add an llms.txt so engines cite you with confidence
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 (blackirismedspa.com, incl. the homepage, contact page, and Botox treatment page) 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 signals — scored across six weighted categories (structured data 25, FAQ 15, pricing & detail 20, llms.txt/crawler 10, reviews/authority 15, listicle presence 15), and cross-referenced with how those engines currently assemble responses to Lewisville/Carrollton aesthetic queries (June 2026). A full engagement includes live, repeated multi-engine probing for your specific treatment + location queries.