AI Visibility
measured46/100
Frequently Cited · in LLMOps Platforms
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
100
across 157 prompts
AI Share of Voice
100%
across 157 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in LLMOps 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.
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 DeepEval is visible in
1Brand overview
DeepEval is likely to be cited for evaluation-stage queries (e.g., “how to evaluate LLM apps” and “DeepEval vs Ragas”) because its docs are crawlable and it publishes first-party comparison content. The biggest citation risk is conversion-stage queries like “DeepEval pricing” and evaluation-stage “DeepEval vs competitor” where AI engines need crawlable, structured pricing and SoftwareApplication/FAQ schema—those signals were not found in live checks.
Based on audit of deepeval.com · Oct 7, 2026