AI Visibility
measured18/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals47/100
Some gaps
Avg Prompt Score
5
across 413 prompts
AI Share of Voice
5%
across 413 prompts
Critical Issues
6
critical + high
How AI Visibility breaks down
in AI Applications
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.
Per-stage performance
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.
Categories Factal is visible in
3Executive summary
Factal is likely to be cited for evaluation-stage queries because it has a publicly crawlable pricing page with explicit “unlimited use” positioning and strong third-party social proof on G2 (24 reviews). The biggest risk is conversion-stage citation for “Factal pricing / cost / plans” and evaluation-stage “Factal vs competitor” queries: the domain appears to lack first-party comparison pages and likely lacks B2B structured-data signals (SoftwareApplication/FAQPage) that AI engines use for rich evaluation answers.
Based on audit of factal.com · Sep 1, 2026