AI Visibility
measured18/100
Emerging · in E-commerce Platforms
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
5
across 294 prompts
AI Share of Voice
5%
across 294 prompts
Critical Issues
2
critical + high
How AI Visibility breaks down
in E-commerce Platforms
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.
PartsTech is a B2B SaaS product (auto repair parts/tire ordering platform) with strong AI citation inputs from G2 and Capterra, plus publicly crawlable pricing tiers. The biggest AI citation risk is evaluation-stage “brand vs competitor” and “pricing/FAQ” surfaces on partstech.com itself—live search did not reveal first-party comparison pages or SoftwareApplication/FAQPage structured data, so AI engines may rely on third-party reviews instead of citing PartsTech pages.
Based on audit of partstech.com · Oct 9, 2026