Energy & Industrials
🟢 SERP-Grounded (Light Telemetry)
Canfor
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.
30.0%
+2.0% 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
West Fraser
Competitor Displacement Rate
25.0%
Competitors are displacing Canfor 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: Canfor is losing ground in lumber markets due to production cost disadvantages compared to larger competitors. Volatility in housing starts and a lack of product diversification also contribute to query loss.
Missing AI Citations:High-authority domains (e.g., Reddit, G2) that models cite to justify recommending competitors, where this brand currently lacks presence.
[woodworkingnetwork.com][randomlengths.com]⚠️ Identified Vulnerability:Production Costs
Primary Threat Identified:West Fraser
Target Persona:Building Material Distributors
🚨 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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