AI Visibility
measured18/100
Emerging · in Education & LMS
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
4
across 288 prompts
AI Share of Voice
4%
across 288 prompts
Critical Issues
2
critical + high
How AI Visibility breaks down
in Education & LMS
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.
OpenEduCat is likely to be cited by AI engines for education ERP/SIS evaluation queries because it has strong G2 presence (150 reviews, 4.6/5) and first-party pricing plus multiple first-party comparison surfaces. The single highest-ROI fix is to strengthen structured data (SoftwareApplication + AggregateRating + FAQPage for evaluation intents) and ensure AI-crawler discoverability signals (llms.txt/robots.txt) are verifiably accessible, so conversion-stage answers (pricing/fit) can be generated from first-party content.
Based on audit of openeducat.org · Sep 1, 2026