AI Visibility
measured60/100
Frequently Cited · in AI Infrastructure
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals55/100
Some gaps
Avg Prompt Score
100
across 393 prompts
AI Share of Voice
100%
across 393 prompts
Critical Issues
5
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.
Per-stage performance
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.
Categories Kubeflow is visible in
1Executive summary
Kubeflow is likely to be cited by AI engines for “what is Kubeflow” and “how to use Kubeflow” style queries because it has strong third-party visibility (e.g., G2 has 21 reviews with a 4.5/5 rating) and active community discussion on Reddit. The biggest citation risk is evaluation/conversion-style queries that expect first-party, crawlable “pricing” and structured evaluation content (e.g., SoftwareApplication/FAQPage), which appear missing or not discoverable on kubeflow.org.
Based on audit of kubeflow.org · Sep 19, 2026