AI Visibility
measured34/100
Emerging · in Finance
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals47/100
Some gaps
Avg Prompt Score
33
across 213 prompts
AI Share of Voice
33%
across 213 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Finance
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.
Digit is a B2B manufacturing ERP/MRP platform and has meaningful AI-citation inputs from G2 (16 reviews, 4.7/5) and Capterra (16 reviews, 4.9/5). The biggest risk for AI shortlists is evaluation-stage citation: the site has pricing and many comparison-style blog posts, but there is no evidence of first-party “[Digit] vs [Competitor]” pages or SoftwareApplication/FAQPage structured data that AI engines can reliably extract for “alternatives” and “pricing” queries.
Based on audit of digit-software.com · Jun 11, 2026