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Geneo
AI Visibility Report
07/18/2025
Live Analysis:
ChatGPT_

AI Visibility Report for
enterpriseAIcomputinginfrastructuresolutions

Are you in the answers when your customers ask AI?

Enter your prompt and find out which brands dominate AI search results.

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Brand Performance Across AI Platforms
All 10 brands referenced across AI platforms for this prompt
NVIDIA
2
1
Sentiment:
Score:95
Oracle
2
1
Sentiment:
Score:95
IBM
1
2
Sentiment:
Score:86
4Hewlett Packard Enterprise
1
1
Sentiment:
Score:77
5Cisco
1
1
Sentiment:
Score:77
Referenced Domains Analysis
All 11 domains referenced across AI platforms for this prompt
ChatGPT
Perplexity
Google AIO
#1www.reuters.com faviconwww.reuters.com
ChatGPT:
3
Perplexity:
0
Google AIO:
0
3
#2ddn.com faviconddn.com
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1
#3ibm.com faviconibm.com
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1
#4cisco.com faviconcisco.com
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1
#5nvidia.com faviconnvidia.com
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1

AI Search Engine Responses

Compare how different AI search engines respond to this query

ChatGPT

4200 Characters

BRAND (10)

NVIDIA
Dell Technologies
IBM
Oracle
Amazon Web Services
Hewlett Packard Enterprise
Cisco
DDN
Mirantis
Databricks

SUMMARY

ChatGPT provides a comprehensive overview of enterprise AI infrastructure solutions, highlighting key providers like IBM, HPE, Oracle, Dell, and AWS. It emphasizes the need for high-performance hardware, scalable storage, and efficient networking. IBM offers Power Systems with AC922 servers, HPE provides Private Cloud AI systems with NVIDIA integration, Oracle invests heavily in European AI infrastructure, Dell introduces Blackwell Ultra chip-powered servers, and AWS plans $11 billion Georgia expansion. The response stresses considering scalability, performance, security, and integration capabilities when selecting solutions.

Perplexity

4015 Characters

BRAND (10)

NVIDIA
Dell Technologies
IBM
Oracle
Amazon Web Services
Hewlett Packard Enterprise
Cisco
DDN
Mirantis
Databricks

SUMMARY

Perplexity delivers a technical breakdown of enterprise AI infrastructure components including compute resources (GPUs, tensor accelerators), storage systems (NVMe SSDs), networking, software orchestration, security, and monitoring. It covers deployment models (on-premises, cloud, hybrid) and highlights providers like NVIDIA/DDN, Mirantis, Oracle Cloud Infrastructure, Cisco, and Databricks. The response emphasizes MLOps practices, cost optimization, regulatory compliance, and integration considerations for enterprise AI implementations.

Google AIO

0 Characters

BRAND (10)

NVIDIA
Dell Technologies
IBM
Oracle
Amazon Web Services
Hewlett Packard Enterprise
Cisco
DDN
Mirantis
Databricks

SUMMARY

No summary available.

Strategic Insights & Recommendations

Dominant Brand

IBM, NVIDIA, and Oracle emerge as dominant players, with IBM focusing on Power Systems, NVIDIA providing GPU acceleration across multiple partnerships, and Oracle making significant infrastructure investments.

Platform Gap

ChatGPT focuses on specific vendor solutions and recent investments, while Perplexity provides more technical depth on infrastructure components and deployment considerations.

Link Opportunity

Strong opportunities exist for partnerships with enterprise infrastructure providers, AI hardware manufacturers, and cloud service platforms targeting large-scale AI deployments.

Key Takeaways for This Prompt

Enterprise AI infrastructure requires integrated high-performance computing, storage, and networking solutions.

Major providers like IBM, HPE, Oracle, Dell, and AWS are making significant investments in AI infrastructure capabilities.

Deployment options include on-premises, cloud-based, and hybrid models each with distinct advantages.

Key considerations include scalability, security, compliance, cost optimization, and integration with existing systems.

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