AI Visibility
measured74/100
Frequently Cited · in Expense Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals74/100
Solid fundamentals
Avg Prompt Score
89
across 474 prompts
AI Share of Voice
89%
across 466 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Expense Management
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.
Expensify is highly likely to be cited by AI engines for evaluation-stage expense management queries because it has strong G2 authority (5,637 reviews, 4.5★) and first-party comparison content for key rivals like Navan and SAP Concur. The single highest-ROI fix is to strengthen structured-data coverage for B2B evaluation queries (SoftwareApplication/FAQPage) across the pages that answer pricing and comparison prompts, so AI engines can cite them reliably for “How much does Expensify cost?” and “How does Expensify compare to …?”
Based on audit of expensify.com · Jun 7, 2026