AI Visibility
measured33/100
Emerging · in Vertical SaaS
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals60/100
Some gaps
Avg Prompt Score
9
across 292 prompts
AI Share of Voice
9%
across 292 prompts
Critical Issues
5
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.
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 Monograph is visible in
2Executive summary
Monograph is a B2B A&E firm management SaaS with meaningful AI-citation inputs: it has strong third-party review presence (G2 + Capterra) and first-party comparison pages (e.g., Monograph vs Harvest / vs Deltek). The biggest AI visibility risk is technical/structured-data readiness on monograph.io itself (robots.txt/llms.txt/sitemaps and SoftwareApplication/FAQPage schema were not verifiable via live fetch), which can reduce direct citation for evaluation and pricing queries.
Based on audit of monograph.io · Oct 3, 2026