AI Visibility
measured26/100
Emerging · in Project Management Software
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
4
across 521 prompts
AI Share of Voice
4%
across 521 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.
TeamRetro is a B2B agile retrospective/team health check SaaS with strong AI-citation inputs from G2 (20 reviews, 4.5/5) and first-party evaluation content (a dedicated /compare/ page). The biggest risk for AI shortlists is evaluation-stage citation for “best retrospective tools / alternatives” queries when crawlers can’t reliably extract structured evaluation signals (notably: no confirmed SoftwareApplication/FAQPage schema found in live search). Highest-ROI fix: add/verify SoftwareApplication + FAQPage structured data on key evaluation pages (pricing, compare, integrations) and ensure it’s crawlable/SSR.
Based on audit of teamretro.com · Oct 5, 2026