Healthcare & Pharmaceuticals
🟢 SERP-Grounded (Light Telemetry)
Ascensia Diabetes Care
Programmatic AI Search & Model Visibility Audit
Share of Model (SOM)The percentage of time frontier AI models (ChatGPT, Claude, Gemini) recommend this brand for high-intent category queries.
0.1%
+0.0% 30-Day MomentumThe rolling 30-day change in algorithmic Share of Model. Positive momentum indicates increasing AI mindshare.
🧠 Neural Valency:NeutralThe contextual sentiment of the AI's recommendation. 'Dominant' implies strong conviction, while 'Vulnerable' implies the model heavily conditions its recommendation.
Algorithmic Threat Detection
Primary Competitor Threat
Abbott
Competitor Displacement Rate
0.1%
Competitors are displacing Ascensia Diabetes Care in 0.1% of high-intent buyer queries.The frequency at which AI models actively suggest a competitor as a superior alternative to this brand.
Algorithmic Rationale: The diabetes monitoring market is highly competitive, with rivals offering continuous glucose monitoring (CGM) systems with enhanced connectivity and data sharing features.
Missing AI Citations:High-authority domains (e.g., Reddit, G2) that models cite to justify recommending competitors, where this brand currently lacks presence.
[diabetes.org][medtechdive.com]⚠️ Identified Vulnerability:CGM Technology
Primary Threat Identified:Abbott
Target Persona:Diabetologists
🚨 Threat Velocity:5/10An algorithmic urgency score (1-10) indicating how rapidly competitors are capturing this brand's historical AI search share.
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