AI Visibility
measured43/100
Frequently Cited · in Manufacturing Execution
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals59/100
Some gaps
Avg Prompt Score
60
across 16 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
MasterControl is highly likely to be cited by AI engines for evaluation-stage queries because it has strong G2 presence (hundreds of reviews) plus secondary review coverage on Capterra and TrustRadius, and it also has first-party comparison-style content (e.g., a “MasterControl vs Competitors” QMS guide). The single highest-ROI fix is to improve Technical AEO by adding/confirming B2B-specific structured data (SoftwareApplication/FAQPage/Organization sameAs) and ensuring pricing is crawlable with concrete tiers—right now pricing appears to be “request pricing” rather than publicly tiered.
Based on audit of mastercontrol.com · Aug 29, 2026