AI Visibility
measured18/100
Emerging · in Manufacturing Execution
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals67/100
Solid fundamentals
Avg Prompt Score
73
across 19 prompts
AI Share of Voice
100%
across 3 prompts
Critical Issues
4
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.
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.
Executive summary
Minitab is already strongly positioned for AI citation in evaluation-stage queries via high-authority third-party review sources (notably G2 and Gartner Peer Insights). The biggest risk is conversion-stage and evaluation-stage “self-serve” citation: ensure AI can reliably extract pricing and product evaluation details from crawlable first-party pages (especially SoftwareApplication/FAQPage-style structured Q&A and pricing page crawlability).
Based on audit of minitab.com · Aug 30, 2026