AI Visibility
measured20/100
Emerging · in AI Infrastructure
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals52/100
Some gaps
Avg Prompt Score
7
across 405 prompts
AI Share of Voice
7%
across 405 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Infrastructure
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.
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.
Streamline.ai is a B2B legal workflow automation platform with public pricing and a first-party comparison page (e.g., Streamline AI vs Jira), so it has a baseline for evaluation-stage citations. The biggest AI-citation risk is missing/unclear structured data (SoftwareApplication/FAQPage) and limited evidence of secondary review/analyst coverage (TrustRadius/Gartner Peer Insights), which reduces likelihood of being selected in “alternatives to” and “best [category]” shortlists.
Based on audit of streamline.ai · Jun 4, 2026