AI Visibility
measured18/100
Emerging · in AI Infrastructure
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
59
across 9 prompts
AI Share of Voice
100%
across 9 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in AI Infrastructure
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.
Per-stage performance
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.
Executive summary
Alibaba Cloud is highly likely to be cited for evaluation-stage prompts because it has strong third-party B2B review presence (Capterra shows 15 reviews at 4.3★, and G2 is pre-verified at 265 reviews at 4.2★) and it publishes crawlable, specific pricing/billing pages (e.g., Function Compute pricing and other service billing tables). The single highest-ROI fix is to add/expand first-party, indexed comparison pages that directly answer the exact evaluation prompts (especially the AWS and Microsoft Azure comparison queries) and ensure they are structured for AI extraction; this unlocks consistent citation for "How does Alibaba Cloud compare to Amazon Web Services (AWS)?" and "How does Alibaba Cloud compare to Microsoft Azure?".
Based on audit of alibabacloud.com · May 4, 2026