Energy & Industrials
🟢 SERP-Grounded (Light Telemetry)
Applied Materials
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.
5.0%
-2.5% 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
ASML
Competitor Displacement Rate
10.0%
Competitors are displacing Applied Materials in 10.0% 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 gaining traction by highlighting advanced lithography techniques and R&D investments. Applied Materials appears to be lagging in showcasing innovation in next-generation chip manufacturing processes.
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 Showcase
Primary Threat Identified:ASML
Target Persona:Semiconductor R&D Directors
🚨 Threat Velocity:4/10An algorithmic urgency score (1-10) indicating how rapidly competitors are capturing this brand's historical AI search share.
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