The Challenge
Problem: Patients asking AI "find a doctor near me" or "best urgent care in [city]" weren't being directed to this established healthcare network despite their strong presence and patient satisfaction scores.
The healthcare network operated 23 facilities across a metropolitan region with primary care, urgent care, and specialty services. Despite excellent patient outcomes and satisfaction ratings, AI systems weren't recommending their locations for local healthcare queries.
Audit findings revealed critical gaps:
- Inconsistent NAP data across locations and platforms
- Physician credentials not properly structured for AI
- Review responses inconsistent across facilities
- Service-specific content not optimized for AI queries
The Solution
Strategy: Multi-location GEO optimization focusing on local entity consistency, physician authority signals, and service-specific content across all 23 facilities.
Location Data Consistency
We audited and corrected NAP information across 50+ platforms per location, implemented LocalBusiness schema for each facility, standardized service offerings and hours across all listings, and created location-specific landing pages optimized for AI extraction.
Physician Authority Building
We built individual profiles for each physician including credentials, specializations, and patient reviews, added Person schema linking physicians to facilities, secured physician features in local health publications, and connected physician profiles to medical databases and directories.
Service-Specific Optimization
We created comprehensive content for each service type (urgent care, primary care, specialties), built FAQ content matching how patients ask AI health questions, developed condition-specific pages with treatment information, and implemented MedicalClinic and MedicalCondition schema.
Results by Location Type
Urgent Care Centers (8 locations)
AI visibility increased 456% for "urgent care near me" queries. Wait time information and services offered now consistently cited by AI.
Primary Care Offices (12 locations)
Physician recommendations improved dramatically. AI now recommends specific doctors based on specialty and patient reviews.
Specialty Clinics (3 locations)
Condition-specific queries now route to appropriate specialists. AI accurately describes available treatments and technologies.
Key Takeaways
Multi-location requires systematic approach. Inconsistencies across locations confuse AI systems. Centralized management with local customization proved essential.
Physician authority matters for healthcare. AI systems evaluate individual provider credentials, not just facility reputation. Investing in physician profiles paid significant dividends.
Service-specific content drives targeted recommendations. Patients ask AI specific questions ("urgent care for broken arm," "pediatrician accepting new patients"). Detailed service content enables accurate AI recommendations.
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