AI Visibility
measured26/100
Emerging · in Legal Tech
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals54/100
Some gaps
Avg Prompt Score
13
across 171 prompts
AI Share of Voice
13%
across 171 prompts
Critical Issues
6
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.
gotrellis.com (Trellis) is a B2B eCommerce profitability/advertising automation SaaS and already has strong AI-citation inputs from G2 (pricing page shows a 4.1/5 rating and category placement). The biggest remaining risk for AI evaluation queries is first-party structured evaluation content (SoftwareApplication/FAQPage) and crawlability signals on key pages (robots/llms/sitemaps could not be verified via this tool). Highest-ROI fix: add/verify SoftwareApplication + FAQPage schema on product/pricing pages and ensure AI crawlers can access them (SSR + robots/llms + sitemap coverage).
Based on audit of gotrellis.com · Sep 29, 2026