AI Visibility
measured18/100
Emerging · in Contract Lifecycle Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals54/100
Some gaps
Avg Prompt Score
22
across 337 prompts
AI Share of Voice
22%
across 337 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Contract Lifecycle 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.
Precedent is a B2B legal-tech SaaS (personal injury law firms) with strong AI-citation inputs from G2 (19 reviews, 4.8/5). The biggest risk for AI evaluation queries is missing/uncrawlable structured evaluation surfaces (notably SoftwareApplication/FAQPage/AggregateRating signals) and limited evidence of first-party comparison/pricing pages being fully crawlable for AI engines.
Based on audit of precedent.com · Aug 30, 2026