AI Visibility
measured18/100
Emerging · in Manufacturing Execution
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals52/100
Some gaps
Avg Prompt Score
4
across 302 prompts
AI Share of Voice
4%
across 302 prompts
Critical Issues
5
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.
Categories dataPARC is visible in
2Executive summary
dataPARC is a B2B industrial analytics/data visualization platform with strong AI-citation inputs from G2 (39 reviews, 4.9/5, Grid Leader) and secondary signals from TrustRadius. The biggest risk for AI evaluation queries is missing/uncrawlable first-party evaluation surfaces (especially pricing details and structured evaluation schema), so models can’t reliably cite dataparc.com for “cost/pricing” and “vs/alternatives” decision patterns.
Based on audit of dataparc.com · Sep 1, 2026