Healthcare Case Study
Dallas Surgical Center — From Zero to 340% AI Citation Growth
A greenfield surgical practice built measurable AI engine presence across ChatGPT, Gemini, and Perplexity in 21 days using RevScore IQ and the AEO+ Content Engine.
The Challenge
Comprehensive Invisibility
A brand-new Dallas surgical center with zero digital presence -- no content, no blog, no AI engine recognition.
Starting From Zero
The practice had qualified surgeons and a modern facility but no website content, no social presence, and no entity recognition from any AI engine. Every scoring dimension was 0/100 at baseline.
Healthcare Scrutiny
AI engines apply heightened scrutiny to medical content. Unverifiable or poorly structured health claims get suppressed rather than cited. Every procedure page needed rigorous accuracy, proper attribution, and medical schema markup.
Multi-Specialty Complexity
Orthopedic procedures (hand surgery, joint repair, sports medicine) and plastic surgery (gynecomastia, lipedema, body contouring) each require distinct content strategies to capture different patient query paths.
The Solution
Four-Phase Deployment
Phase 1: RevScore IQ Assessment
Complete gap analysis using the GEO/AEO/EVS Trinity framework. Over 100 structured queries probed across four AI engines to map the Dallas surgical market competitive landscape and identify which procedure categories had highest patient search volume.
Phase 2: Content Pipeline
Six procedure pages built to AI ingestion standards: 4,000+ words each, 8-12 FAQ items per page, MedicalProcedure and FAQPage schema markup. Content covered hand surgery, gynecomastia, lipedema, body contouring, sports medicine, and the entity/brand page.
Phase 3: EVS Probing
100 probes across four AI engines produced 400 individual data points. Each probe scored on K1-K7 criteria: entity recognition, citation frequency, information accuracy, recommendation strength, competitive position, content depth, and cross-engine consistency.
Phase 4: Surgical-Noir Design
Dark-background design framework optimized for healthcare: high-contrast typography, semantic HTML5, proper heading hierarchy, and microdata markup reinforcing the JSON-LD structured data.
Results
Before & After: All Six Dimensions
Key Outcomes
Content Architecture scored highest (71) because pages were built from scratch with AI-optimized structures. Social/Velocity scored lowest (22) because social signals require real patient interactions over time. The practice appeared in AI responses for 68% of procedure-specific queries and 45% of general surgical queries in the Dallas market.
Execution
21-Day Timeline
Takeaways
What This Proves
Greenfield Speed
Starting from zero is not a disadvantage. No legacy debt means optimal implementation from day one. Measurable results are achievable in weeks, not months.
Quality Over Volume
Six pages of 4,000+ word Grade A content outperformed competitors with dozens of thin pages. AI engines in 2026 reward depth, accuracy, and structure over quantity.
Actionable Scoring
Knowing Content Architecture scored 71 while Social scored 22 tells the practice exactly where to invest next. The Results Dashboard makes this real-time and data-driven.
See What RevScore IQ Reveals for Your Practice
Complimentary AI visibility assessment across all six dimensions. Data-driven results you can verify yourself.