AI Visibility
measured33/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals47/100
Some gaps
Avg Prompt Score
20
across 344 prompts
AI Share of Voice
20%
across 344 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in AI Applications
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 Buzz is visible in
2Executive summary
Agilix is a B2B K-12 learning/LMS software vendor with meaningful AI-citation potential via G2 and first-party case studies, but it is missing several high-intent evaluation surfaces (notably first-party comparison pages and likely SoftwareApplication/FAQ structured data). The single highest-ROI fix is to publish crawlable first-party evaluation content (especially “[Agilix] vs [Competitor]” pages that clearly recommend Agilix) and ensure pricing + product pages expose machine-readable structured data for AI Overviews.
Based on audit of agilix.com · Oct 18, 2026