AI Visibility
measured25/100
Rarely Cited · in Education & LMS
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals44/100
Some gaps
Avg Prompt Score
13
across 171 prompts
AI Share of Voice
13%
across 171 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.
ALEKS is likely to be cited by AI engines for learning/assessment queries and some brand-aware evaluation prompts, but it has major citation gaps for B2B evaluation patterns that rely on first-party comparison content and structured product metadata. The single highest-ROI fix is to publish/ensure crawlable first-party evaluation pages (especially “[ALEKS] vs [competitor]” and “ALEKS pricing” content that is SSR + schema-enabled) so AI engines can cite ALEKS directly during shortlist formation.
Based on audit of aleks.com · Oct 18, 2026