AI Visibility
measured18/100
Emerging · in Manufacturing Execution
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
18
across 121 prompts
AI Share of Voice
11%
across 105 prompts
Critical Issues
3
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.
Rockwell Automation is strongly positioned for AI citation in evaluation-stage queries via high-volume G2 presence (636 reviews, 4.5/5) and active Gartner Peer Insights coverage. The biggest AI-visibility risk is conversion-stage “pricing” and evaluation-stage “vs/alternatives” citation: pricing appears to be distributor/portal-driven (often not publicly crawlable), and there was no evidence found of first-party, brand-led comparison pages or SoftwareApplication/FAQPage structured data on the main domain.
Based on audit of rockwellautomation.com · Aug 29, 2026