AI Visibility
measured18/100
Emerging · in Legal Tech
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
9
across 145 prompts
AI Share of Voice
9%
across 145 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Legal Tech
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.
CloudLex is a B2B personal-injury case management SaaS with strong AI-citation inputs from G2 (52 reviews, 4.8/5) and solid secondary review coverage (Capterra 77 reviews, 4.8/5). The biggest AI citation risk is evaluation-stage “brand vs competitor” and “pricing” queries where first-party comparison/pricing content is either incomplete for AI (pricing lacks visible prices) or not clearly structured for competitor-vs-competitor evaluation patterns.
Based on audit of cloudlex.com · Oct 7, 2026