AI Visibility
measured72/100
Frequently Cited · in Applicant Tracking
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals66/100
Solid fundamentals
Avg Prompt Score
22
across 608 prompts
AI Share of Voice
23%
across 589 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Applicant Tracking
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.
Lever is highly likely to be cited for category shortlists because it has ~2,102 G2 reviews at 4.3★ and first-party comparison pages for multiple evaluation queries (e.g., “How does Lever compare to Workable?”). The biggest AI-citation risk is pricing: Lever’s pricing is “available upon request” (no public tiers/prices), which blocks strong citation for “How much does Lever cost?” and weakens evaluation-stage answers that require concrete pricing evidence.
Based on audit of lever.co · Apr 2, 2026