AI VISIBILITY REPORT

Crusoe

Complete AI search performance analysis

30 prompts · 3 platforms · 90 responses

Mention Rate

named in 2 of 90 answers

needs work

About Crusoe

Crusoe

Crusoe provides energy-first AI infrastructure, cloud compute, and managed AI services for teams building, fine-tuning, training, and deploying AI workloads at scale.

Category: AI infrastructure and cloud computeSegment: AI/ML engineersKey rival: CoreWeave

Scorecard

Across all 90 AI answers

Visibility Score

0–100 · how often & how high you appear

Mention rate ÷ average rank (0–100). Higher when AI names you often and near the top.

Share of Voice

1.3%

your share vs competitors

Your share of the AI conversation, compared to competitors

Average Rank

#3.0

your position when you appear

Your typical position in AI recommendations

Visibility Distribution

Where you land across 90 answers — 30 prompts × 3 platforms

98%

Top pick #1 · 1 run

Recommended #2–3 · 0 runs

Mentioned #4+ · 1 run

Missing Not mentioned · 88 runs

Platform Performance

How your brand shows up on each AI platform — 30 prompts each

ChatGPT

0/30 responses mention you

Google Overview

Avg rank #5.0

1/30 responses mention you

Perplexity

Avg rank #1.0

1/30 responses mention you

Competitive
Landscape

How you compare against competitors
in AI visibility

1%YOUR SHARE

share of voice

AWS5.9%

CoreWeave5.9%

Modal4.5%

OpenAI3.9%

Lambda3.2%

Runpod3.2%

Google Vertex AI3.2%

Google Cloud2.9%

Crusoe1.3%

Other66.1%

Prompt-Level Detail

Every prompt we ran, tagged by type, with who showed up alongside you

All Prompts

● = platforms that mentioned you (of 3)30 prompts

Prompt

Type

Competitors

Platforms

Avg Rank

How can I fine-tune a model on proprietary data without managing clusters?

Problem-solving

—

1st

Which AI infrastructure providers support both NVIDIA and AMD GPUs?

Educational

5th

What should I look for in an AI infrastructure platform for training and deploying models at scale?

Educational

—

How do I compare GPU cloud providers for enterprise AI workloads?

Comparisons

—

What are the main tradeoffs between serverless inference and dedicated endpoints for production AI apps?

Comparisons

—

Which AI cloud options are best for low-latency model serving?

Recommendations

—

How do teams choose between managed Kubernetes and workload schedulers for large AI training jobs?

Comparisons

—

What is the best way to scale distributed training across thousands of GPUs?

Educational

—

How do I reduce infrastructure overhead when moving AI experiments into production?

Problem-solving

—

What features matter most in an AI cloud platform for startups building LLM products?

Educational

—

How do leading AI infrastructure platforms compare on pricing flexibility?

Comparisons

—

What are the advantages of a purpose-built GPU cloud versus a general cloud for AI workloads?

Comparisons

—

How can I serve LLM inference with lower latency and higher throughput?

Problem-solving

—

Which AI infrastructure platform is best if I need both training and inference in one place?

Recommendations

—

What should enterprise teams ask before buying managed AI infrastructure?

Educational

—

How do AI cloud providers handle failover and job recovery for training runs?

Educational

—

What is the best GPU cloud for teams that want predictable performance and support?

Recommendations

—

How do I choose an AI cloud platform that can scale from experimentation to production?

Recommendations

—

What are the best ways to cut cost on AI compute without hurting performance?

Problem-solving

—

How do serverless fine-tuning workflows compare with traditional training pipelines?

Comparisons

—

What makes an AI cloud platform production-ready for enterprise workloads?

Educational

—

How can I avoid GPU lock-in when committing to AI infrastructure?

Problem-solving

—

What are the key differences between AI cloud providers and hyperscale cloud GPU offerings?

Comparisons

—

How do I evaluate latency, throughput, and cost for model inference platforms?

Educational

—

What is the best managed platform for running AI workloads with minimal DevOps effort?

Recommendations

—

How should a platform team benchmark GPU clouds for training large models?

Educational

—

What questions should I ask when comparing AI infrastructure providers for a production launch?

Educational

—

How do I know if I need serverless inference or a self-managed deployment?

Problem-solving

—

What is the easiest way to deploy an inference API for a custom model?

Problem-solving

—

Which AI infrastructure platform is best for startups with limited platform engineering resources?

Recommendations

—

How can I fine-tune a model on proprietary data without managing clusters?

Type

Problem-solving

Avg Rank

1st

Platforms

Competitors

—

Which AI infrastructure providers support both NVIDIA and AMD GPUs?

Type

Educational

Avg Rank

5th

Platforms

Competitors

What should I look for in an AI infrastructure platform for training and deploying models at scale?

Type

Educational

Avg Rank

—

Platforms

Competitors

—

How do I compare GPU cloud providers for enterprise AI workloads?

Type

Comparisons

Avg Rank

—

Platforms

Competitors

What are the main tradeoffs between serverless inference and dedicated endpoints for production AI apps?

Type

Comparisons

Avg Rank

—

Platforms

Competitors

—

Which AI cloud options are best for low-latency model serving?

Type

Recommendations

Avg Rank

—

Platforms

Competitors

How do teams choose between managed Kubernetes and workload schedulers for large AI training jobs?

Type

Comparisons

Avg Rank

—

Platforms

Competitors

—

What is the best way to scale distributed training across thousands of GPUs?

Type

Educational

Avg Rank

—

Platforms

Competitors

—

How do I reduce infrastructure overhead when moving AI experiments into production?

Type

Problem-solving

Avg Rank

—

Platforms

Competitors

—

#10

What features matter most in an AI cloud platform for startups building LLM products?

Type

Educational

Avg Rank

—

Platforms

Competitors

—

#11

How do leading AI infrastructure platforms compare on pricing flexibility?

Type

Comparisons

Avg Rank

—

Platforms

Competitors

#12

What are the advantages of a purpose-built GPU cloud versus a general cloud for AI workloads?

Type

Comparisons

Avg Rank

—

Platforms

Competitors

—

#13

How can I serve LLM inference with lower latency and higher throughput?

Type

Problem-solving

Avg Rank

—

Platforms

Competitors

—

#14

Which AI infrastructure platform is best if I need both training and inference in one place?

Type

Recommendations

Avg Rank

—

Platforms

Competitors

#15

What should enterprise teams ask before buying managed AI infrastructure?

Type

Educational

Avg Rank

—

Platforms

Competitors

—

#16

How do AI cloud providers handle failover and job recovery for training runs?

Type

Educational

Avg Rank

—

Platforms

Competitors

—

#17

What is the best GPU cloud for teams that want predictable performance and support?

Type

Recommendations

Avg Rank

—

Platforms

Competitors

#18

How do I choose an AI cloud platform that can scale from experimentation to production?

Type

Recommendations

Avg Rank

—

Platforms

Competitors

—

#19

What are the best ways to cut cost on AI compute without hurting performance?

Type

Problem-solving

Avg Rank

—

Platforms

Competitors

—

#20

How do serverless fine-tuning workflows compare with traditional training pipelines?

Type

Comparisons

Avg Rank

—

Platforms

Competitors

—

#21

What makes an AI cloud platform production-ready for enterprise workloads?

Type

Educational

Avg Rank

—

Platforms

Competitors

—

#22

How can I avoid GPU lock-in when committing to AI infrastructure?

Type

Problem-solving

Avg Rank

—

Platforms

Competitors

—

#23

What are the key differences between AI cloud providers and hyperscale cloud GPU offerings?

Type

Comparisons

Avg Rank

—

Platforms

Competitors

—

#24

How do I evaluate latency, throughput, and cost for model inference platforms?

Type

Educational

Avg Rank

—

Platforms

Competitors

—

#25

What is the best managed platform for running AI workloads with minimal DevOps effort?

Type

Recommendations

Avg Rank

—

Platforms

Competitors

#26

How should a platform team benchmark GPU clouds for training large models?

Type

Educational

Avg Rank

—

Platforms

Competitors

—

#27

What questions should I ask when comparing AI infrastructure providers for a production launch?

Type

Educational

Avg Rank

—

Platforms

Competitors

#28

How do I know if I need serverless inference or a self-managed deployment?

Type

Problem-solving

Avg Rank

—

Platforms

Competitors

—

#29

What is the easiest way to deploy an inference API for a custom model?

Type

Problem-solving

Avg Rank

—

Platforms

Competitors

#30

Which AI infrastructure platform is best for startups with limited platform engineering resources?

Type

Recommendations

Avg Rank

—

Platforms

Competitors

Citation Ecosystem

Understanding where AI models source information about your brand

Citation Breakdowncitations by source type

100%Third Party

Owned 0%

Competitor 0%

Third Party 100%

Not Cited 0%

Top Domainsthe sources AI cites most

youtube.com76

gmicloud.ai39

medium.com39

linkedin.com30

digitalocean.com28

Crusoe

Mention Rate

Crusoe

Scorecard

Visibility Score

Share of Voice

Average Rank

Visibility Distribution

Platform Performance

ChatGPT

Google Overview

Perplexity

CompetitiveLandscape

Prompt-Level Detail

All Prompts

Citation Ecosystem

Competitive
Landscape