AI Visibility
measured33/100
Emerging · in Legal Tech
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
10
across 145 prompts
AI Share of Voice
10%
across 145 prompts
Critical Issues
2
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.
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 AppColl is visible in
1Executive summary
AppColl is a B2B IP management SaaS with strong AI-citation signals from G2 (41 reviews, 4.7/5) and publicly crawlable pricing pages that include explicit “starting at” tiers. The biggest risk to appearing in evaluation-stage AI answers is missing/unclear first-party evaluation assets (notably SoftwareApplication/FAQPage structured data and first-party “vs/alternatives” pages), which forces AI to rely on third-party sources.
Based on audit of appcoll.com · Aug 30, 2026