Case studies

Founding tenant: Dr. Hamza Gemici

Estetik medicine practice in Istanbul. MedSelect's first founding tenant, onboarded May 2026.

The starting point

Dr. Hamza had a respectable practice and a wordpress-era website that ranked sporadically. Quality content was being produced but none of it consistently landed in Google's top 10 for core queries like "İstanbul botoks doktoru". AI chat tools never mentioned him.

The problem wasn't quality. It was system: no editorial discipline, no measurement of which queries to target, no structured data telling AI systems who he was.

What MedSelect did

  • Voice card capture — 90-minute kickoff session produced a 6-field profile of his clinical philosophy, vocabulary, and decline-list.
  • GSC + GA4 integration — historical data backfilled, daily cron synced moving forward.
  • AIDO probe set — 6 queries spanning informational + navigational + transactional intents.
  • Editorial discipline — every published draft passes brief → medical_review → seo_review → publish. High-risk topics also pass senior_advisor_review.
  • Schema.org structured data — every published article emits Physician + MedicalWebPage + Article JSON-LD.

What changed

The full metric story arrives once AIDO has been running for a quarter with real API keys connected. What's already different:

  • Editorial cycle time from idea to publish: ~4 weeks → ~7 days.
  • Every claim in published content traces back to either a referenced source or the physician's explicit opinion. Zero uncited claims.
  • Audit log proves who wrote / reviewed / approved every piece. KVKK-defensible content lineage.

What's next

ChatGPT, Claude, Perplexity, Gemini citation share measurement goes live the day the API keys are configured. We'll publish a follow-up with the first 90 days of citation share data.

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