[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/CoreWeave
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

87

Authoritative Source

Avg Prompt Score

77

across 282 prompts

AI Share of Voice

77%

across 282 prompts

Category Visibility

#2

in GPU Cloud · of 44

Critical Issues

4

critical + high

Shortlist Position

30/35

Leader · Gpu Cloud Discovery

Per-stage performance

🔍Discovery
158 category
Cited85%135/158
Share of voice76%avg
Engine consensus65%of engines
Competitors12.0avg/cited
Sentiment—no data
⚖️Evaluation
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data

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 CoreWeave is visible in

1
  • GPU Cloud2 of 44→

Your visibility gap

CoreWeave surfaces in 30/35 Gpu Cloud discovery prompts. Claim this profile to see which 5 prompts you're missing and how to win them.

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Executive summary

CoreWeave is already strongly visible for discovery queries like “best GPU cloud providers for AI training” and “GPU cloud with H100 availability,” but it is weak for evaluation/conversion patterns that require crawlable, structured product-comparison and pricing evidence. The single highest-ROI fix is to add/expand first-party evaluation content (brand-led “CoreWeave vs …” pages + FAQPage blocks) and ensure SoftwareApplication/FAQ structured data is present on the pages AI engines use for “cheapest GPU cloud for AI startups,” “GPU cloud with Jupyter notebook support,” and “how to scale GPU workloads in the cloud.”

Based on audit of coreweave.com · May 4, 2026

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