AI Visibility
measured18/100
Emerging · in Manufacturing Execution
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals4/100
Weak fundamentals
Avg Prompt Score
4
across 284 prompts
AI Share of Voice
4%
across 284 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.
poka.io is a B2B connected-worker/manufacturing platform with strong AI-citation inputs from G2 (218 reviews, 4.7/5) and multiple customer stories with quantified outcomes (e.g., USG: 10x faster work instruction creation; Coty: onboarding time reduced 57%). The biggest AI citation risk is evaluation-stage queries that require crawlable first-party comparison/evaluation content and machine-readable structured data (SoftwareApplication/FAQPage); the pricing page is publicly crawlable but does not show tiered prices in the crawlable content, which can limit “pricing plans” citations.
Based on audit of poka.io · May 8, 2026