AI Visibility
measured20/100
Emerging · in Manufacturing Execution
measured from this brand's audit prompts
AEO Readiness
fundamentals49/100
Some gaps
Avg Prompt Score
0
across 261 prompts
AI Share of Voice
0%
across 261 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Manufacturing Execution
Composite = 50% coverage + 30% engine breadth + 20% position, measured across this brand's own audit prompts (it isn't in a tracked category rollup yet). 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 / manufacturing execution-style platform with meaningful AI citation signals from G2 (37 reviews on G2 for “Tulip Interfaces”). The biggest risk for AI engines is evaluation-stage citation: there’s no clearly discoverable first-party “[Tulip] vs [Competitor]” comparison surface on tulip.com, so models fall back to third-party lists instead of citing Tulip for “vs/alternatives/pricing” queries.
Based on audit of tulip.com · Oct 2, 2026