AI Visibility
measured35/100
Emerging · in FP&A
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals14/100
Weak fundamentals
Avg Prompt Score
28
across 195 prompts
AI Share of Voice
28%
across 195 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in FP&A
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.
Abacum is a B2B FP&A SaaS brand with strong AI-citation signals from G2 (151 reviews, 4.7/5) and Gartner Peer Insights (4.6 with 49 ratings), plus active Reddit discussion and a Microsoft AppSource listing. The biggest AI citation risk is conversion-stage evaluation queries that require crawlable, specific pricing and robust structured data (SoftwareApplication/FAQPage) on first-party pages.
Based on audit of abacum.io · Oct 18, 2026