In 2025, MIM:AGENCY was approached by a private medical clinic that was facing a typical but critical problem in modern medical marketing: organic traffic had stopped growing, and competitors were beginning to take the lead.

In this case study, we describe how we integrated Generative Engine Optimization into medical marketing, reworked the client’s content strategy, and achieved significant growth in a matter of months.

Client request

MIM:AGENCY was approached by a private medical clinic specializing in high-precision diagnostics and minimally invasive procedures.

The problem was as follows:

  • organic traffic had stagnated for 9 months
  • SEO was slow to take effect and had no impact on new patient inquiries
  • competitors were actively occupying the first pages of Google
  • the clinic wanted to attract patients not only from search engines, but also through new referral channels.

The request was clear: to strengthen its presence in search engines, increase contact requests, and improve its reputation.

What we did: a 4-stage GEO strategy

Stage 1. In-depth audit of SEO, content, and “AI visibility”

The MIM:AGENCY team analyzed:

  • The SEO structure of the website
  • The indexing of medical pages
  • The relevance of content to typical medical queries
  • The tone of voice and E-E-A-T compliance
  • The brand’s presence in ChatGPT, Gemini, and Perplexity search results
  • The number of “AI citations” of the website

Findings:

  • 42% of pages are not optimized for the semantics of symptoms and conditions
  • 68% of texts contained “dry” wording that was of no use to AI models
  • 0 mentions of the clinic in the responses of popular AI engines

Stage 2. Generative Engine Optimization: adapting content to AI responses

Based on GEO algorithms, we:

  • rewrote 34 key pages of the site for expanded information requests
  • added structural blocks that AI models specifically search for
  • integrated explainer blocks that explain medical terms in human language
  • created 58 new thematic materials (symptoms → causes → diagnosis → treatment)

We also prepared an “AI context pack” that systematically explains:

  • the clinic’s profile
  • treatment methods
  • diagnostic algorithms
  • the advantages of an evidence-based approach

This context helped AI models “understand” the client’s medical expertise and refer to their pages more often.

Stage 3. GEO structuring of pages

To enhance AI indexing, we:

  • added “plain language” blocks
  • embedded diagnostic schemes in a pseudocode format convenient for LLM
  • inserted a Patient Journey Map into the text explanations
  • created internal anchors that read like reference sections
  • rewrote pages under intent (informational / commercial / mixed)

Stage 4. Communication campaign + medical branding

At the same time, we launched:

  • a series of expert articles by doctors
  • short explanatory videos for Reels / TikTok / YouTube Shorts
  • AI-friendly press releases
  • Q&A packages for medical queries that are often pulled up in AI responses

Results after 90 days

1. Growth in “AI visibility”

  • Number of clinic page appearances in responses ChatGPT: +312%
  • Perplexity: +228%
  • Gemini: +174%

2. Organic traffic

  • Overall organic growth: +87%
  • Traffic to symptom pages: +143%
  • Traffic to diagnosis pages: +119%

3. Conversions

  • Number of applications via the website: +62%
  • Calls from organic traffic: +51%

4. Reputation and expertise

  • Increase in EEAT score (according to our internal criteria): +39%
  • 19 medical articles were cited by AI models in information references

What this gave the clinic

  • A steady stream of patients from organic search and AI recommendations
  • A significant reduction in dependence on contextual advertising
  • Strengthening the expertise of doctors in the digital space
  • Increased brand trust through expert content
  • Stronger competition even in highly competitive niches

Conclusion

Generative Engine Optimization in medical marketing is a new way to be visible in a world where users search for answers not only on Google, but also in AI models.

MIM:AGENCY created a system for the clinic that works for the future: content has become clear, structured, and as “readable” as possible for generative models.

As a result, the clinic got what all medical institutions are looking for: visibility, trust, a steady stream of patients, and a competitive advantage.