AI Visibility
measured35/100
Emerging · in Project Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals59/100
Some gaps
Avg Prompt Score
9
across 314 prompts
AI Share of Voice
9%
across 314 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Project Management
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.
Everhour is a B2B time tracking/billing SaaS that already has strong third-party review visibility (notably on G2) and publicly crawlable pricing with explicit tiers. The biggest AI-citation risk is evaluation-stage coverage: while Everhour has first-party comparison pages (e.g., /compare/*), there’s no clear evidence (from live checks) of SoftwareApplication/FAQ structured data and no confirmed Gartner Peer Insights presence—so AI engines may rely on third parties instead of citing Everhour directly for “vs/alternatives/pricing” evaluation prompts.
Based on audit of everhour.com · Oct 7, 2026