AI Visibility
measured43/100
Frequently Cited · in AI Infrastructure
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals35/100
Weak fundamentals
Avg Prompt Score
17
across 354 prompts
AI Share of Voice
17%
across 354 prompts
Critical Issues
6
critical + high
How AI Visibility breaks down
in AI Infrastructure
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.
pachyderm.io is a B2B MLOps/data versioning platform that already has meaningful third-party review visibility (e.g., G2 and Capterra), so it can be cited for evaluation-stage questions. The biggest AI-citation risk is conversion-stage and evaluation-stage self-citation: the domain homepage timed out during fetch and there is no evidence (from search) of first-party pricing/comparison pages or B2B-structured data (SoftwareApplication/FAQPage) that AI engines can reliably extract.
Based on audit of pachyderm.io · Aug 30, 2026