AI Visibility
measured48/100
Frequently Cited · in Business Intelligence
measured from this brand's audit prompts
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
10
across 97 prompts
AI Share of Voice
16%
across 97 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Business Intelligence
Composite = 50% coverage + 30% engine breadth + 20% position, measured across this brand's own audit prompts (it isn't in a tracked category rollup yet). 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.
LexisNexis is highly likely to be cited by AI engines for evaluation-stage queries because it has an active G2 presence (G2 seller page and product review pages exist) and a Gartner Peer Insights vendor review page. The single highest-ROI fix is to improve first-party evaluation surfaces—especially crawlable, indexed “[LexisNexis] vs [competitor]” and pricing content—so AI can cite LexisNexis pages directly instead of relying on third-party review sites.
Based on audit of lexisnexis.com · May 18, 2026