Lieblings-Zahnarzt
Unified patient data and automated local SEO at network scale
| Measure | Before | After | Scale |
|---|---|---|---|
| Doctor prep time per patient | 12 min | 3 min | |
| Online booking conversion | 2.1% | 4.7% | |
| Local SEO traffic, 15 clinics | — | +189% |
Scale makes everything harder
Running 15 dental clinics across Germany creates two compounding problems. First, every doctor spent 12 minutes before each appointment pulling patient history from fragmented systems — a hidden cost that adds up to thousands of hours annually across the network. Second, each clinic needs its own local SEO presence for searches like "Zahnarzt Berlin Mitte" — but creating and maintaining those pages manually across 15 locations and dozens of districts simply isn't feasible.
Two modules, one platform
Two separate systems built on the same underlying data infrastructure.
Patient Data System
All patient history — visits, treatments, notes, test results — is unified in one place and accessible to doctors through Claude in seconds. The doctor asks what they need before walking into the room.
Local SEO Engine
Automatically generates pages for every combination of clinic location, district and service type. Each page is optimized for local search intent and updated when services or locations change.
Online Booking Flow
Improved booking UX connected to the unified data system, allowing patients to book with their history pre-loaded. Less friction, higher completion rate.
| Week 3 | Patient data module deployedThe SEO system launches in parallel. | ||
| Month 2 | Full network rollout | ||
| Month 5 | Results measured |