AI Visibility
measured25/100
Emerging · in Digital Advertising
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals49/100
Some gaps
Avg Prompt Score
6
across 286 prompts
AI Share of Voice
6%
across 286 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Digital Advertising
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.
PureCars has meaningful AI-citation foundations for evaluation-stage queries via a G2 profile (4.1/5 with 11 reviews) and multiple first-party customer stories published in 2025–2026. The biggest risk for AI engines is conversion-stage and evaluation-stage self-citation: PureCars appears to lack crawlable first-party pricing and first-party “[PureCars] vs [Competitor]” comparison pages, forcing models to rely on third-party sources.
Based on audit of purecars.com · Oct 7, 2026