AI Representation Risk Summary
Proof-of-concept analysis for Tampa General Hospital and Northern Light Health
AI Readiness
45/100
Critical Gap
Citation Frequency
40%
Below Benchmark
Competitor Advantage
+60%
AdventHealth Lead
Revenue at Risk
$3M
Annual Exposure
Key Findings
Inconsistent Appearance
While TGH has strong brand recognition, its appearance in AI-generated responses is inconsistent and often lacks depth compared to competitors.
Competitor Dominance
For high-value service-line queries, competitors like AdventHealth are more frequently cited and recommended by AI models.
Service-Line Authority Gaps
TGH's cardiology and oncology programs are underrepresented in AI responses, indicating significant authority gaps in high-revenue specialties.
Monitoring Absence
No current mechanism to track or manage how TGH is portrayed in this emerging, high-impact channel.
Risk Summary
| Risk Category | Severity | Business Impact |
|---|---|---|
| Competitive Visibility | High | Direct patient diversion to competitors |
| Service-Line Underrepresentation | High | Significant revenue exposure in key specialties |
| Entity Inconsistency | Moderate | Brand trust dilution and patient confusion |
| Monitoring Absence | High | Ongoing, unmanaged exposure to AI drift |
Scalable Next Steps Framework
PHASE 1Deep Diagnostic
- Comprehensive audit across all major service lines and affiliated physicians
- Full competitive landscape analysis
- Quantified risk and opportunity modeling
PHASE 2Entity Stabilization & Authority Alignment
- Implement foundational structured data and technical signals
- Develop and syndicate AI-native content for key service lines
- Align digital assets to create a cohesive entity for AI models
PHASE 3AI Monitoring & Drift Detection
- Establish a continuous monitoring system for AI representation
- Track competitive movements and AI model updates
- Provide quarterly governance reports to leadership
Methodology: This analysis was conducted using publicly available data across Google AI Overviews, OpenAI ChatGPT-4, and Anthropic Claude 3. No internal system access was required.