AI Visibility
measured37/100
Emerging · in Project Management Software
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals8/100
Weak fundamentals
Avg Prompt Score
16
across 350 prompts
AI Share of Voice
16%
across 350 prompts
Critical Issues
3
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.
Celoxis is a B2B project/portfolio management SaaS with strong AI-citation inputs from G2 (560+ reviews) and active third-party review presence (TrustRadius has a profile with 7 reviews). The biggest risk for AI engines is evaluation-stage citation for brand-aware comparison/pricing queries—specifically first-party “[Celoxis] vs [competitor]” surfaces and crawlable pricing/structured data that AI can reliably extract.
Based on audit of celoxis.com · May 6, 2026