AI Visibility
measured34/100
Emerging · in Manufacturing Execution
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals52/100
Some gaps
Avg Prompt Score
100
across 50 prompts
AI Share of Voice
100%
across 50 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Manufacturing Execution
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.
AnyLogic is strongly cited for evaluation-stage queries via its G2 presence (49 reviews, 4.2★) and also has Gartner Peer Insights and TrustRadius profiles, which helps it show up in “best simulation software” and “worth it” style answers. The biggest AI-citation risk is conversion/evaluation query patterns that require crawlable first-party evidence—specifically “How much does AnyLogic cost?” and “How does AnyLogic compare to FlexSim?/Simio?”—because live search did not surface first-party “vs”/comparison pages or a clearly crawlable pricing page on anylogic.com.
Based on audit of anylogic.com · Oct 5, 2026