AI Visibility
measured18/100
Emerging · in Education & LMS
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
9
across 141 prompts
AI Share of Voice
9%
across 141 prompts
Critical Issues
4
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.
GeoGebra is likely to be cited by AI engines for education/math “how to” and “what is” queries, but it is weak for B2B-style evaluation and conversion prompts (pricing, comparisons, enterprise review platforms). The single highest-ROI fix is to add crawlable, structured evaluation/conversion content on geogebra.org (pricing/plan pages + FAQPage targeting evaluation queries) so AI can cite first-party answers instead of relying on third-party review sites.
Based on audit of geogebra.org · Sep 29, 2026