AI Visibility
measured33/100
Emerging · in Managed AI Inference
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
13
across 818 prompts
AI Share of Voice
13%
across 818 prompts
Critical Issues
5
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.
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.
Anyscale is a B2B AI orchestration platform with strong AI-citation inputs from G2 (5 reviews, 4.3★) and a publicly crawlable pricing page with specific compute cost figures. The biggest AI-citation risk is evaluation-stage comparison coverage: there are no first-party pages clearly answering “How does Anyscale compare to Databricks?” or “How does Anyscale compare to Google Gemini Enterprise Agent Platform?”—so AI engines will struggle to cite Anyscale for those exact comparison prompts.
Based on audit of anyscale.com · May 4, 2026