AI Visibility
measured34/100
Emerging · in Commerce
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals41/100
Some gaps
Avg Prompt Score
4
across 418 prompts
AI Share of Voice
4%
across 418 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Commerce
Composite = 50% coverage + 30% engine breadth + 20% position, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Cited rate · share of voice · engine consensus · sentiment, broken out by buyer-journey stage. Sentiment is the net positive−negative skew across engines that cited the brand at this stage.
Dealertrack is a B2B automotive retail software/DMS provider with strong third-party review visibility (e.g., 43 G2 reviews at 4.4/5). The biggest AI-citation risk is conversion-stage evaluation queries: pricing is not clearly crawlable as public tiered pricing, and there is limited evidence of first-party, brand-led evaluation/comparison content that AI engines can reliably cite.
Based on audit of dealertrack.com · Sep 1, 2026