AI Visibility
measured16/100
Emerging · in Content & Knowledge
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals50/100
Some gaps
Avg Prompt Score
52
across 17 prompts
AI Share of Voice
100%
across 1 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Content & Knowledge
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.
OnCourse Systems for Education is a B2B K-12 school management/SIS + LMS suite with meaningful G2 presence (45 reviews on its G2 seller page) and active evaluation content, so it’s plausibly cited in shortlist-style answers. The biggest AI-citation risk is conversion-stage crawlability: the first-party pricing flow appears form-gated (“Get pricing by filling out this form”), which prevents AI engines from citing pricing directly—fix this by publishing an SSR, tiered pricing page with crawlable prices.
Based on audit of oncoursesystems.com · Aug 30, 2026