[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Alibaba Elastic Compute Service
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

58

Growing Presence

Avg Prompt Score

8

across 161 prompts

AI Share of Voice

10%

across 161 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
141 category
Cited1%1/141
Share of voice1%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
11 brand-level
Cited100%11/11
Share of voice82%avg
Engine consensus82%of engines
Competitors3.9avg/cited
Sentimentpositive6+ / 15~ / 0−
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice67%avg
Engine consensus67%of engines
Competitors5.0avg/cited
Sentiment—no data
💰Conversion
5 brand-level
Cited100%5/5
Share of voice80%avg
Engine consensus80%of engines
Competitors4.0avg/cited
Sentimentneutral0+ / 3~ / 0−

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.

Categories Alibaba Elastic Compute Service is visible in

2
  • Cloud Platformsnot yet measured→
  • Cloud Securitynot yet measured→

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

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