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Customer Story

AEO and GEO Strategy that Increased AI Overview Visibility by 52%

results
Multi-Location Healthcare Services Provider
company
Multi-Location Healthcare Services Provider
services used
AEO Content Strategy, GEO Entity Modeling, Technical SEO, Structured Content Optimization
industry
Healthcare Services
“Our content went from being invisible in AI Overviews to being cited consistently. We now see our pages referenced as authoritative sources instead of just ranking in blue links.”
Director of Marketing

The client is a multi-location healthcare services provider operating across the United States, offering specialized outpatient treatments through both self-pay and insurance-based pathways.

Although the site maintained strong traditional SEO rankings, it was underrepresented in AI Overviews and generative search results. Competing providers were frequently cited by Google AI and large language models, while the client’s content was rarely surfaced during patient research.

Analysis identified several core issues:

  • Content was optimized for traditional rankings but not structured for answer extraction
  • Condition and treatment pages lacked clear medical entity relationships
  • No consistent signals established the site as a primary medical authority for specific procedures

The Atlantic Zero Solution: AEO-First Healthcare Content and GEO Authority Modeling

We rebuilt the client’s content and semantic foundation to align with how generative systems evaluate, extract, and cite medical information.

Phase 1: AEO-First Content Re-Engineering

Priority condition and treatment pages were restructured to match answer engine consumption patterns.

  • Answer-first page architecture, opening each page with a concise 40 to 60 word definition written explicitly for AI extraction
  • Explicit question targeting using H2 and H3 sections framed as direct patient questions aligned with AI Overview query patterns
  • Structured answer blocks written in short, declarative paragraphs optimized for quotation and reuse by generative systems

Phase 2: GEO Entity and Authority Modeling

To improve generative trust and authority signals, we rebuilt the site’s semantic structure.

  • Medical entity mapping to explicitly link conditions, procedures, and providers through schema and internal linking
  • Source attribution signals placing provider credentials, board certifications, and clinical experience adjacent to medical claims
  • Contextual reinforcement layering regional relevance and patient demographics into content to improve grounding and specificity

Phase 3: Deployment and Reinforcement

Updates were rolled out across priority service lines, with ongoing monitoring of AI Overview inclusion and citation consistency to reinforce authority positioning.

The Results

Within three months of implementation:

  • AI Overview visibility increased by 52% across high-intent treatment and condition queries
  • Multiple pages became recurring sources in generative answers rather than one-off citations
  • Average time on page increased by 31%, indicating stronger alignment between user intent and AI-driven discovery

Key expertise demonstrated:

  • AEO content architecture for medical and regulated industries
  • GEO authority graph design and entity reinforcement
  • Optimization for AI citation and trust, not just rankings

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