AI Visibility
measured31/100
Emerging · in Learning Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals7/100
Weak fundamentals
Avg Prompt Score
38
across 479 prompts
AI Share of Voice
38%
across 479 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Learning Management
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.
Trainual is highly likely to be cited by AI engines for evaluation-stage queries because it has strong G2 presence (1,005 reviews, 4.7/5) and a first-party comparison hub (e.g., /compare/ pages). The single highest-ROI fix is to strengthen structured data + technical AEO for evaluation/cost queries (SoftwareApplication/FAQPage/aggregateRating) and ensure pricing is fully crawlable with explicit tiers (current pricing page content appears to emphasize demo/contact for core plans).
Based on audit of trainual.com · May 6, 2026