Energy & Industrials
🟢 SERP-Grounded (Light Telemetry)
Eastern Coalfields
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.
28.0%
-0.2% 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
Mahanadi Coalfields
Competitor Displacement Rate
30.0%
Competitors are displacing Eastern Coalfields in 30.0% of high-intent buyer queries.The frequency at which AI models actively suggest a competitor as a superior alternative to this brand.
Algorithmic Rationale: Eastern Coalfields faces challenges with operational efficiency and logistical constraints compared to its peers. Competitors with better infrastructure and higher output are gaining an advantage.
Missing AI Citations:High-authority domains (e.g., Reddit, G2) that models cite to justify recommending competitors, where this brand currently lacks presence.
[miningjournal.com][coalreview.in]⚠️ Identified Vulnerability:Logistics and Efficiency
Primary Threat Identified:Mahanadi Coalfields
Target Persona:Industrial Coal Buyers
🚨 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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