AI Visibility
measured18/100
Emerging · in Performance Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals2/100
Weak fundamentals
Avg Prompt Score
13
across 322 prompts
AI Share of Voice
13%
across 322 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Performance 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.
Teamflect is a B2B performance management SaaS built natively for Microsoft Teams/Outlook and already has strong AI-citation inputs from G2 (192 reviews) and public, crawlable pricing with per-user tiers. The biggest risk to appearing in evaluation-stage AI answers is missing/uncertain crawlability signals for AI bots (robots.txt/llms.txt not verifiable here) and potentially incomplete structured data coverage (SoftwareApplication/FAQPage/ratings not confirmed). Highest-ROI fix: ensure AI crawler access (robots.txt + llms.txt) and add/verify SoftwareApplication + FAQPage schema on pricing and key evaluation pages so models can cite Teamflect directly for “pricing/integrations/fit” queries.
Based on audit of teamflect.com · Oct 8, 2026