AI Visibility
measured18/100
Emerging · in Managed AI Inference
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
16
across 102 prompts
AI Share of Voice
16%
across 102 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Managed AI Inference
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 Valohai is visible in
3Executive summary
Valohai is a B2B MLOps platform with strong AI-citation foundations: it has a G2 presence (26 reviews, 4.9 rating) and multiple first-party comparison/alternative pages plus a publicly accessible pricing page. The biggest remaining risk for AI evaluation queries is structured-data/technical AEO completeness (e.g., SoftwareApplication/FAQPage/AggregateRating) and crawlability verification for key pages (robots.txt/SSR), which can prevent models from citing pricing and evaluation content reliably.
Based on audit of valohai.com · Oct 4, 2026