AI Visibility
measured41/100
Frequently Cited · in AI Infrastructure
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
98
across 32 prompts
AI Share of Voice
98%
across 32 prompts
Critical Issues
4
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 Optuna is visible in
2Executive summary
Optuna is highly crawlable and clearly described as an open-source hyperparameter optimization framework, so AI engines can answer “what is Optuna” and “how does Optuna work” reliably. The biggest citation risk is conversion-stage and evaluation-stage queries that expect B2B-style proof (pricing, “worth it,” and structured comparisons like “How does Optuna compare to Hyperopt?”), where optuna.org lacks first-party pricing and comparison surfaces that AI can cite.
Based on audit of optuna.org · Sep 1, 2026