AI Visibility
measured19/100
Emerging · in DevOps Automation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
30
across 119 prompts
AI Share of Voice
30%
across 119 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in DevOps Automation
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.
env0.com is a B2B IaC governance platform with meaningful third-party visibility (G2 + Gartner Peer Insights) and strong first-party pricing/case-study content. The biggest AI-citation risk is evaluation-stage “shortlist” queries that rely on crawlable structured product metadata (SoftwareApplication/FAQPage) and robust comparison-page coverage; the highest-ROI fix is to add/verify SoftwareApplication + FAQPage structured data across product/pricing pages and ensure comparison pages are indexed with brand-led evaluation blocks.
Based on audit of env0.com · Jul 14, 2026