Retail & E-Commerce
🟢 SERP-Grounded (Light Telemetry)
Reebok
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.
20.0%
-3.0% 30-Day MomentumThe rolling 30-day change in algorithmic Share of Model. Positive momentum indicates increasing AI mindshare.
🧠 Neural Valency:VulnerableThe 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
Nike
Competitor Displacement Rate
40.0%
Competitors are displacing Reebok 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: Reebok is perceived as less innovative in athletic performance technology compared to Nike. Consumers prioritize cutting-edge features and brand cachet in performance footwear.
Missing AI Citations:High-authority domains (e.g., Reddit, G2) that models cite to justify recommending competitors, where this brand currently lacks presence.
[adidas.com][newbalance.com]⚠️ Identified Vulnerability:Product Innovation
Primary Threat Identified:Nike
Target Persona:Performance Athletes
🚨 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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