Energy & Industrials
🟢 SERP-Grounded (Light Telemetry)
MTU
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.
35.0%
-1.8% 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
Cummins
Competitor Displacement Rate
18.0%
Competitors are displacing MTU in 18.0% 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 are highlighting integrated digital service platforms and predictive maintenance solutions, which are becoming key decision factors for fleet operators seeking efficiency.
Missing AI Citations:High-authority domains (e.g., Reddit, G2) that models cite to justify recommending competitors, where this brand currently lacks presence.
[fleetowner.com][machinerylubrication.com]⚠️ Identified Vulnerability:Digital Services
Primary Threat Identified:Cummins
Target Persona:Fleet Operations Managers
🚨 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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