“Best medspa in Scottsdale for first-time Botox”

What we found

The med spa had a loyal first time client base and healthy Instagram engagement, but neither surface is a primary retrieval source for AI answer engines. ChatGPT and Claude leaned on three larger chains with richer structured data, more editorial mentions, and clearer provider credentials on their sites. Our client was invisible for 'first time' and 'beginner' Botox variants despite being well suited to that audience.

What we did

1. 01

   Published a first time Botox guide written in plain language, anchored around the literal questions new clients ask.

2. 02

   Declared MedicalBusiness and Physician schema with provider credentials, board certifications, and treatment offerings as MedicalProcedure nodes.

3. 03

   Added an llms.txt summarizing provider credentials, treatment menu, and consultation policy.

4. 04

   Secured two editorial style placements on regional lifestyle publications covering aesthetics and wellness.

5. 05

   Reconciled review surface signals across GBP, RealSelf, and two aesthetics directories.

What changed

• ChatGPT and Perplexity began including the med spa in 'first time' and 'beginner' Botox answers within five weeks.

• Claude picked up provider credentials specifically, quoting the medical director by role.

• Consultation bookings tagged as AI referred began in the second month, concentrated among first time visitors.

• Gemini coverage remains partial; we are continuing to build editorial references.

Week by week

1. Week 1

   Baseline and blueprint

   Twenty Botox and aesthetics queries tested, with specific focus on first time and beginner intent. Mapped the three dominant chain competitors and their citation stacks.

2. Weeks 2 to 4

   Foundations live

   First time Botox guide published. MedicalBusiness and Physician schema deployed. llms.txt and GBP attributes reconciled.

3. Weeks 5 to 8

   Citations and mentions

   Two regional lifestyle placements secured. RealSelf and aesthetics directory signals tightened. ChatGPT and Perplexity citations visible.

4. Weeks 9 to 12

   Compounding visibility

   Claude began quoting provider credentials. Next quarter planned around filler, skin, and post treatment content tied to the same provider entity.

Questions about this case study

• Why did social following not translate to AI visibility?

  Social platforms are not primary retrieval surfaces for AI answer engines. Instagram drives awareness but does not feed the models structured data they can quote. Schema and editorial references did.
• Which schemas were deployed for the med spa?

  MedicalBusiness and Physician schema with provider credentials, board certifications, and treatment offerings as MedicalProcedure nodes. A first-time Botox guide carried FAQPage schema around the literal questions new clients ask.
• Which platform first quoted provider credentials specifically?

  Claude. It began quoting the medical director by role within five weeks — earlier than typical for this category, because the Physician schema declared the credential directly.
• How many editorial placements were secured?

  Two, both on regional lifestyle publications covering aesthetics and wellness. Each contributed a distinct signal AI engines weight for first-time and beginner intent queries.
• Is Gemini coverage still partial?

  Yes. Gemini has been slower to reflect editorial signal in this category. The team continues to build category-specific references to strengthen Gemini coverage.