How I Use ChatGPT to Rank for Medical Spa Website Design Focused on AI Search Strategies | The Search Sherpa

Jeremy Bengtson
August 11, 2025

How I Use ChatGPT to Rank for Medical Spa Website Design Focused on AI Search Strategies

I’ve tested hundreds of ways to earn visibility for myself and my clients, and I keep the tactics that produce measurable results. One of my current methods uses ChatGPT’s public share feature to create and distribute keyword-rich, SEO-optimized content that connects my site with highly relevant industry terms.

It works because it creates two assets at once: a blog post on my own site and a public page on a high-authority domain (OpenAI’s site). When done correctly, both reinforce each other in search results and in Google’s understanding of my site’s expertise.


Step 1: Create a 2,000-Word SEO-Optimized Article in ChatGPT

The starting point is to prompt ChatGPT with very specific instructions:

  • Target keyword: “Medical spa website design focused on AI search strategies”
  • Include thesearchsherpa.com/ in the copy so there’s a clear association between my brand and the topic
  • Use LSI keywords such as:
    • med spa digital marketing
    • AI-driven user experience for aesthetic clinics
    • responsive design for medical spas
    • chatbot integration for appointment booking
    • local SEO for wellness centers
    • semantic search optimization for beauty services
    • e-commerce scheduling for med spa treatments

Why I do it this way:
The keyword density for my main term lands around 1–1.5% in the draft, which Page Optimizer Pro testing shows is often enough to meet Google’s on-page scoring without triggering keyword stuffing. LSI terms appear naturally throughout, which supports Google’s Natural Language Processing (NLP) model by giving it a wider semantic field to understand the topic.

For example, when NLP detects terms like “botox services page design,” “aesthetic treatment site conversion,” and “AI content optimization for med spas” in the same document, it reinforces topical authority.


Step 2: Publish the Article on My WordPress Site

Once I have the draft, I edit it for clarity, add internal links to relevant pages, and publish it on thesearchsherpa.com/. In WordPress, I:

  • Place the target keyword in the H1 heading
  • Use supporting keywords in H2 and H3 headings (example: “AI-Optimized UX for Med Spa Booking Pages”)
  • Write a meta title like:
    Medical Spa Website Design Focused on AI Search Strategies | The Search Sherpa
  • Write a meta description that uses the main keyword once and two supporting terms:
    Expert medical spa website design focused on AI search strategies, local SEO, and high-conversion layouts to help your clinic attract more patients online.
  • Add schema markup (Article + MedicalBusiness where relevant)
  • Include at least three internal links and two relevant outbound authority links

Why this works:
Google evaluates pages on how well they answer a topic. By placing the main keyword in the title, H1, first paragraph, last paragraph, and naturally within the content, I’m signaling relevance. LSI coverage ensures I’m matching the terms Google expects to see when ranking content on this subject.


Step 3: Share the ChatGPT Conversation Publicly

After publishing, I use ChatGPT’s share function to make the prompt and the article publicly accessible. This produces a unique URL on a domain with a domain rating (DR) in the 90s.

Why I include this step:

  • It creates a second copy of the article, complete with my target keyword and site mention, on a high-authority domain.
  • Even with a “nofollow” tag, the brand mention acts as an entity signal, linking thesearchsherpa.com/ to the topic in Google’s knowledge graph.
  • The link can be shared in newsletters, client communications, or social media to attract clicks from people outside my regular audience.

Why This Method Can Improve Rankings

When you publish a keyword-focused, semantically rich article on your own domain and simultaneously create a version on an authority site, you’re multiplying the ways Google sees your brand connected to the topic.

From an NLP perspective, Google scans for:

  • Entity mentions: “medical spa,” “AI search strategies,” “website design,” “UX optimization”
  • Relationships: connecting “AI search strategies” to “medical spa websites”
  • Salience: how prominent and frequent these terms are compared to the rest of the text

This technique meets those needs by keeping the main keyword central while surrounding it with related terms in headings, paragraphs, image alt text, and metadata.


Best Practices for Applying This Strategy

  1. Match competitor term usage
    Use a tool like Page Optimizer Pro to compare your page against top-ranking competitors for the target keyword. Match the number of keyword uses in body text, headings, and lists.
  2. Cover expected entities
    Include NLP-related entities such as “Google Business Profile,” “local search optimization,” “conversion rate,” and “mobile responsive design” when discussing med spa site builds.
  3. Optimize both versions
    The site version should be the canonical source. The ChatGPT share acts as a public reference but shouldn’t replace the original.
  4. Update content quarterly
    AI search strategies evolve quickly. Add new LSI keywords and service examples regularly to keep salience high.

The Takeaway

This method blends strong on-page optimization with creative content placement. You end up with:

  • A well-optimized article on your domain that targets medical spa website design focused on AI search strategies
  • Additional brand exposure via a high-authority ChatGPT share link
  • Reinforced entity and topical signals that align with how Google’s NLP models evaluate relevance

For me, it’s a simple but effective way to take one content piece and make it work harder in search.


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