AI Visibility
measured65/100
Frequently Cited · in Manufacturing Execution
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals17/100
Weak fundamentals
Avg Prompt Score
46
across 460 prompts
AI Share of Voice
46%
across 460 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.
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.
Tulip is a B2B frontline operations/MES-style platform with strong AI-citation foundations from third-party review ecosystems (e.g., G2 shows 36 reviews for “Tulip Interfaces”). ([g2.com](https://www.g2.com/products/tulip-interfaces-tulip/reviews?utm_source=openai)) The single highest-ROI fix is to add/expand first-party, brand-led evaluation content (especially “[Tulip] vs [Competitor]” pages and schema) so AI engines can cite Tulip directly for comparison and pricing-evaluation queries rather than relying mostly on third parties.
Based on audit of tulip.co · Jun 12, 2026