Energy & Industrials
🟢 SERP-Grounded (Light Telemetry)
Solar Turbines
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.
22.0%
+5.0% 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
GE Vernova
Competitor Displacement Rate
35.0%
Competitors are displacing Solar Turbines in 35.0% of high-intent buyer queries.The frequency at which AI models actively suggest a competitor as a superior alternative to this brand.
Algorithmic Rationale: Solar Turbines is seeing increased competition from companies offering hybrid solutions and lower emission turbine technologies, challenging its dominance in traditional power generation.
Missing AI Citations:High-authority domains (e.g., Reddit, G2) that models cite to justify recommending competitors, where this brand currently lacks presence.
[powermag.com][genscape.com]⚠️ Identified Vulnerability:Emissions Technology
Primary Threat Identified:GE Vernova
Target Persona:Power Plant Engineers
🚨 Threat Velocity:6/10An algorithmic urgency score (1-10) indicating how rapidly competitors are capturing this brand's historical AI search share.
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