AI Visibility
measured56/100
Frequently Cited · in Contract Lifecycle Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals13/100
Weak fundamentals
Avg Prompt Score
13
across 667 prompts
AI Share of Voice
13%
across 667 prompts
Critical Issues
5
critical + high
Shortlist Position
33/80
Challenger · Contract Lifecycle Management Discovery
How AI Visibility breaks down
in Contract Lifecycle Management
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.
Categories E-Sign is visible in
3Your visibility gap
E-Sign surfaces in 33/80 Contract Lifecycle Management discovery prompts. Claim this profile to see which 47 prompts you're missing and how to win them.
Executive summary
e-sign.co.uk has solid AI citation anchors for contract lifecycle management discovery queries (e.g., ChatGPT cites it for “top contract lifecycle management solutions for SaaS companies” and “best contract lifecycle management software for small businesses”), and it has strong G2 presence (90 reviews, 4.7/5). The biggest citation risk is evaluation-stage coverage for CLM-specific buyer intents (procurement/legal/compliance/renewals/reporting) and missing/unclear first-party structured evaluation content (SoftwareApplication/FAQPage) that AI engines need to answer “what is CLM software” and “contract compliance/tracking/reporting” queries.
Based on audit of e-sign.co.uk · May 7, 2026