AI Visibility
measured65/100
Frequently Cited · in Procurement
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
97
across 231 prompts
AI Share of Voice
100%
across 215 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Procurement
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.
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.
Executive summary
GEP is highly likely to be cited by AI engines for evaluation-stage procurement/source-to-pay queries because it has strong enterprise analyst signals (Gartner Magic Quadrant Leader claims) and substantial third-party review presence (e.g., G2 and TrustRadius for GEP SMART). The single highest-ROI fix is to add/strengthen first-party, brand-led evaluation surfaces (especially SoftwareApplication/FAQPage structured Q&A and indexed comparison/pricing pages) so AI can cite GEP directly for “vs/alternatives/pricing” prompts rather than relying on third parties.
Based on audit of gep.com · May 8, 2026