Energy & Industrials
🟢 SERP-Grounded (Light Telemetry)
Parker-Hannifin
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.
14.0%
+3.5% 30-Day MomentumThe rolling 30-day change in algorithmic Share of Model. Positive momentum indicates increasing AI mindshare.
🧠 Neural Valency:DominantThe 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
Danfoss
Competitor Displacement Rate
7.0%
Competitors are displacing Parker-Hannifin in 7.0% of high-intent buyer queries.The frequency at which AI models actively suggest a competitor as a superior alternative to this brand.
Algorithmic Rationale: The brand holds a strong position but faces increasing competition from companies offering advanced IoT-enabled motion control solutions.
Missing AI Citations:High-authority domains (e.g., Reddit, G2) that models cite to justify recommending competitors, where this brand currently lacks presence.
[automationworld.com][imworld.com]⚠️ Identified Vulnerability:IoT Integration
Primary Threat Identified:Danfoss
Target Persona:Industrial Automation Engineers
🚨 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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