AI Visibility
measured18/100
Emerging · in LLM Hosting
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals47/100
Some gaps
Avg Prompt Score
7
across 200 prompts
AI Share of Voice
7%
across 200 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in LLM Hosting
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 Abacus.ai is visible in
3Executive summary
abacus.ai is likely to be cited for evaluation-stage queries (e.g., “Abacus AI pricing” and “Abacus AI reviews”) because it has a public pricing page with explicit tiers ($10 Basic / $20 Pro) and active Reddit discussion. The biggest risk for AI engines is conversion-stage and evaluation-stage “comparison” and “integration/enterprise fit” queries: there’s no clear first-party “[Brand] vs [Competitor]” comparison surface found, and SoftwareApplication/FAQPage structured data could not be confirmed via search.
Based on audit of abacus.ai · Aug 21, 2026