Energy & Industrials
🟢 SERP-Grounded (Light Telemetry)
Amphenol
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.
45.0%
+0.8% 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
TE Connectivity
Competitor Displacement Rate
25.0%
Competitors are displacing Amphenol in 25.0% of high-intent buyer queries.The frequency at which AI models actively suggest a competitor as a superior alternative to this brand.
Algorithmic Rationale: Amphenol is facing competition from companies with wider product portfolios and stronger OEM relationships, particularly in high-growth sectors like automotive and data centers. Competitors offer more integrated solutions and faster lead times.
Missing AI Citations:High-authority domains (e.g., Reddit, G2) that models cite to justify recommending competitors, where this brand currently lacks presence.
[mouser.com][digikey.com]⚠️ Identified Vulnerability:Product Breadth
Primary Threat Identified:TE Connectivity
Target Persona:Procurement 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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