AI Visibility
measured31/100
Emerging · in Procurement
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals14/100
Weak fundamentals
Avg Prompt Score
21
across 146 prompts
AI Share of Voice
21%
across 146 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Procurement
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.
ProcureDesk is already cited by AI engines for evaluation-style queries via strong third-party review signals (G2 ~40 reviews and Capterra 38 reviews, plus Gartner Peer Insights presence). The biggest AI citation risk is evaluation-stage “brand-aware comparison” and “pricing” queries: while first-party comparison pages exist (e.g., ProcureDesk vs Ramp / vs Precoro), the site’s structured-data/technical AEO signals (SoftwareApplication/FAQPage/robots/llms.txt) could not be verified via search, and pricing appears to be more marketing/CTA-heavy than clearly tiered. Highest-ROI fix: ensure crawlable, SSR-first pricing + add/verify SoftwareApplication + FAQPage schema on key evaluation pages so AI engines can reliably extract “what it is” and “how much it costs.”
Based on audit of procuredesk.com · May 8, 2026