AI Visibility
measured20/100
Emerging · in Project Management Software
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals3/100
Weak fundamentals
Avg Prompt Score
21
across 533 prompts
AI Share of Voice
21%
across 533 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Project Management Software
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.
Hive.com is a B2B project/work management SaaS with strong third-party review authority (G2 + Capterra + Gartner Peer Insights) and a publicly crawlable, tiered pricing page. The biggest AI-citation risk is evaluation-stage coverage: ensure first-party, brand-led comparison pages and structured data (SoftwareApplication/FAQPage) are fully crawlable and present—otherwise AI engines may rely on third-party sources instead of citing Hive directly for “Hive vs competitor” and “Hive pricing” queries.
Based on audit of hive.com · May 6, 2026