AI Visibility
measured41/100
Frequently Cited · in Data Warehouse
measured from this brand's audit prompts
AEO Readiness
fundamentals43/100
Some gaps
Avg Prompt Score
3
across 440 prompts
AI Share of Voice
3%
across 440 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Data Warehouse
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.
DataOn (SunFish HR) is a B2B HRIS/HCM vendor with strong AI-citation potential from G2: G2 shows 209 reviews and a 4.5/5 rating for “SunFish by DataOn.” The biggest risk for AI engines is conversion-stage citation: the site does not expose crawlable, tiered pricing and there’s no evidence of SoftwareApplication/FAQPage structured data on first-party pages, so models struggle to answer “pricing/cost” and evaluation questions from dataon.com itself.
Based on audit of dataon.com · Jun 9, 2026