AI Visibility
measured74/100
Frequently Cited · in Applicant Tracking
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
80
across 283 prompts
AI Share of Voice
82%
across 283 prompts
Critical Issues
5
critical + high
Brand Accuracy
2/206
citations with inaccuracies
How AI Visibility breaks down
in Applicant Tracking
Composite = 60% coverage + 40% engine breadth, 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.
Ashby is a B2B recruiting/ATS SaaS with strong AI-citation foundations: it has a meaningful G2 presence (114 reviews) and first-party evaluation content including multiple “Ashby vs [Competitor]” pages plus a publicly accessible pricing page with at least one explicit tier price ($400/month for Foundations). The biggest remaining citation risk is structured-data/technical AEO gaps (no confirmed SoftwareApplication/FAQPage/aggregateRating signals found in live checks) which can reduce eligibility for Google AI Overviews and other answer engines during evaluation-stage queries like “Ashby vs Greenhouse/Lever.”
Based on audit of ashbyhq.com · Jul 10, 2026