AI Visibility
measured22/100
Emerging · in Workflow Automation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals41/100
Some gaps
Avg Prompt Score
5
across 324 prompts
AI Share of Voice
5%
across 324 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Workflow Automation
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.
Datahex is a B2B food-safety compliance software vendor (Paperless Forms) with a meaningful G2 footprint (4.6/5 from 23 reviews), so it can be cited for evaluation-stage questions. The biggest AI-citation risk is conversion-stage and evaluation-stage crawlability: the site’s pricing for Paperless Forms appears to be “contact us / request pricing” rather than publicly crawlable tiers, and there’s no evidence (from live search) of first-party comparison pages or crawlable structured data (SoftwareApplication/FAQPage). Highest-ROI fix: publish a publicly accessible, crawlable pricing page (with tiers/prices) and add evaluation-focused structured data (SoftwareApplication + FAQPage) on the product pages.
Based on audit of datahex.com · Aug 30, 2026