Energy & Industrials
🟢 SERP-Grounded (Light Telemetry)
Nippon Steel
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.
10.0%
+2.5% 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
JFE Holdings
Competitor Displacement Rate
12.0%
Competitors are displacing Nippon Steel in 12.0% of high-intent buyer queries.The frequency at which AI models actively suggest a competitor as a superior alternative to this brand.
Algorithmic Rationale: Nippon Steel faces intense global competition in the steel industry. Key competitors are aggressively innovating in materials science and sustainable production, areas where Nippon Steel needs to demonstrate continued leadership.
Missing AI Citations:High-authority domains (e.g., Reddit, G2) that models cite to justify recommending competitors, where this brand currently lacks presence.
[g2.com][reddit.com]⚠️ Identified Vulnerability:Innovation Pace
Primary Threat Identified:JFE Holdings
Target Persona:Automotive Manufacturers
🚨 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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