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

24

Limited Presence

Avg Prompt Score

32

across 175 prompts

AI Share of Voice

32%

across 175 prompts

Category Visibility

#7

in GPU Cloud · of 48

Critical Issues

6

critical + high

Shortlist Position

16/65

Niche · Gpu Cloud Discovery

Per-stage performance

🔍Discovery
87 category
Cited44%38/87
Share of voice30%avg
Engine consensus35%of engines
Competitors10.7avg/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 Nebius is visible in

1
  • GPU Cloud7 of 48→

Your visibility gap

Nebius surfaces in 16/65 Gpu Cloud discovery prompts. Claim this profile to see which 49 prompts you're missing and how to win them.

Claim Nebius →

Executive summary

Nebius is already cited by AI for several GPU-cloud discovery queries (e.g., A100/H100 instance types, cheapest GPU cloud for AI startups, and GPU cloud for model pretraining at scale). The biggest citation risk is missing/under-indexed first-party coverage for high-intent buyer questions like “GPU cloud with H100 availability”, “GPU cloud with reserved instance pricing”, and “GPU cloud with spot instances for cost savings”—these are the exact queries where AI currently has no reliable Nebius page to cite.

Based on audit of nebius.com · May 5, 2026

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