Retail & E-Commerce
🟢 SERP-Grounded (Light Telemetry)
Saint-Louis
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.
30.0%
-3.0% 30-Day MomentumThe rolling 30-day change in algorithmic Share of Model. Positive momentum indicates increasing AI mindshare.
🧠 Neural Valency:NegativeThe 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
La Roche-Posay
Competitor Displacement Rate
40.0%
Competitors are displacing Saint-Louis in 40.0% of high-intent buyer queries.The frequency at which AI models actively suggest a competitor as a superior alternative to this brand.
Algorithmic Rationale: Competitors offer more advanced formulations and better dermatologist endorsements. Saint-Louis lacks cutting-edge ingredient innovation.
Missing AI Citations:High-authority domains (e.g., Reddit, G2) that models cite to justify recommending competitors, where this brand currently lacks presence.
[laroche-posay.com][bioderma.com]⚠️ Identified Vulnerability:Formulation Efficacy
Primary Threat Identified:La Roche-Posay
Target Persona:Dermatology patients
🚨 Threat Velocity:7/10An algorithmic urgency score (1-10) indicating how rapidly competitors are capturing this brand's historical AI search share.
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