AI Visibility
measured42/100
Frequently Cited · in Vertical SaaS
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals38/100
Weak fundamentals
Avg Prompt Score
2
across 612 prompts
AI Share of Voice
1%
across 596 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Vertical SaaS
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.
flat.app is a B2B work management SaaS with strong AI-citation potential via G2 (17 reviews, 4.9/5) and category presence on G2. The biggest blocker for AI evaluation/conversion queries is missing/uncrawlable first-party pricing + structured evaluation surfaces (no confirmed SoftwareApplication/FAQPage/llms.txt/robots.txt signals found), so AI engines likely rely on G2 rather than citing flat.app directly for “pricing” and “vs/alternatives” patterns.
Based on audit of flat.app · Aug 30, 2026