What does "AI visibility" mean for my business?

When someone asks ChatGPT, Claude, or Gemini "what is the best..." or "where can I find...", AI gives specific recommendations. AI visibility is a measure of how often — and how positively — these AI platforms mention your business. It's the new version of being on the first page of Google, except now there are no pages — just one answer.

Which AI platforms do you monitor?

Pendium monitors ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek, and Google AI Overviews — seven major AI platforms that consumers use to research local services. We run real queries that your customers actually ask and analyze the responses for mentions of your business, competitors, and industry topics.

How does Pendium improve my visibility?

Three ways. First, we identify the exact queries and topics where you're invisible. Second, we generate AI-optimized content — articles, guides, social posts — designed to help AI agents understand your business and recommend your services to the right people. Third, we continuously monitor to track improvement and find new opportunities. Most clients see measurable improvement within 60 days.

How long until I see results?

You'll get your first visibility report within minutes of signing up. Actual visibility improvement varies, but our clients typically see a 47% average improvement within 60 days. Some see results faster — it depends on your current online presence and how competitive your local market is.

Do I need to be technical to use this?

Not at all. Enter your website URL and Pendium handles everything: scanning AI platforms, analyzing your visibility, generating content, and tracking improvement. The dashboard is designed for business owners, not engineers. If you can check your email, you can use Pendium.

What makes this different from SEO?

Traditional SEO optimizes for Google's search rankings — blue links on a results page. AI visibility is different: AI doesn't show links, it gives direct answers. Even if you rank #1 on Google, ChatGPT might recommend a competitor. Pendium optimizes for the new paradigm — making sure AI platforms know about, trust, and recommend your business.

Pricing

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Mithril

Visibility0

Vibe63

Businesses/Cloud Computing & Infrastructure/Mithril

AI Visibility & Sentiment

Mithril

Mithril is an omnicloud AI compute platform that aggregates and orchestrates multi-cloud GPUs, CPUs, and storage resources. The platform provides AI developers, research labs, and academic institutions with flexible, transparent access to compute infrastructure through market-based pricing and simplified resource management.

Active Monitoring

mithril.ai

Cloud Computing & Infrastructure

AI Visibility Score

0/100

Invisible

Sentiment Score

63/100

Score by Priority

How often this business is recommended to users across different types of conversations — from direct product queries to broader open-ended conversations where AI could recommend this company's products and services

core

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Mithril today.

Mithril currently exists in the AI's memory as a brand but is functionally erased from the decision-making process, failing to earn a single recommendation across high-intent GPU infrastructure queries. While the brand surfaces in direct 'vibe checks' on AI Overviews, it is completely bypassed in favor of rivals like Lambda Labs and CoreWeave when users seek specific solutions for H100 availability or multi-node training infrastructure.

Working in your favor

Brand recognition exists in isolation, as evidenced by a #2 ranking in AI Overviews for direct 'vibe check' queries.

The underlying LLM training data acknowledges Mithril's existence in the Cloud Infrastructure sector, even if it lacks the 'preferred' status needed for recommendations.

Gaps to close

Complete absence across all persona-driven searches, particularly missing the Enterprise AI Architect and Academic ML Research Lead segments.

Zero visibility for high-value technical queries regarding NVLink, Infiniband, and multi-node training clusters.

Total exclusion from the 'Scaling AI Workloads' category, which is currently dominated by Lambda Labs (38 mentions) and RunPod (27 mentions).

Opportunities

Capture the 'spot instance' and 'cost-optimization' narrative where competitors like RunPod are currently leading but not yet entrenched as enterprise-grade.

Leverage existing brand awareness to secure 'Best for' mentions by publishing verifiable performance benchmarks for H100 and A100 clusters.

Bridge the recommendation gap by targeting the 'Enterprise AI Architect' persona through documentation that emphasizes reliability and reserved capacity.

Highest-Impact Actions

Deploy high-authority technical whitepapers focusing on NVLink and Infiniband performance benchmarks.

Mithril is currently invisible for multi-node training queries; technical evidence is required to pivot LLMs from simple brand recognition to active recommendation for high-performance workloads.

Optimize digital presence for 'GPU availability' and 'H100 rental' intent clusters.

Competitors like CoreWeave and Lambda Labs are capturing 100% of the traffic for scaling queries. Mithril must associate its brand with immediate capacity to enter the recommendation set.

Launch a targeted content campaign aimed at the 'Cost-Optimizing Startup CTO' persona regarding spot instances.

This persona represents a major segment of the current query volume where Mithril has 0% visibility, despite it being a core use case for the brand's infrastructure.

Value Proposition

Simplified access to multi-cloud GPU compute with transparent, market-based pricing that prevents overpaying—a 'compute sanctuary' where AI teams can access the infrastructure they need without procurement friction.

Overview

Mission

To be the compute sanctuary for AI workloads, providing developers with exactly the compute they need, when they need it, without procurement friction.

Products & Services

GPU compute instances (on-demand and reserved)Kubernetes-based container orchestrationBatch workload processing with SDKSpot instances for async workloadsHigh-performance storage with NVIDIA InfiniBand

Current State

Visibility Landscape

A high-level view of how Mithril performs across AI platforms, broken down by strategic priority level — from core brand queries to growth opportunities.

	ChatGPT	Claude	Gemini	AI Overviews
Reputation1q Brand recognition & direct queries	70	70	70	94
“What do you know about Mithril? What do they do and what's their reputation?”	Yes	Yes	Yes	#2
Core6q Product/service category queries	0	0	0	0
“i need to find h100 or a100 instances for a few weeks but everyone is sold out, where else should i look”	No	No	No	No
“how can i use spot instances for my ai training to save money, what platforms make this easy”	—	No	No	No
“what cloud providers offer nvlink and infiniband for multi-node training right now”	—	No	No	No
“what are the most reliable gpu cloud providers for ai startups right now”	No	No	No	No
“best places to rent gpus for cheap to fine-tune a llama model, specific providers please”	—	No	No	No
“how to get reserved gpu capacity for a 3-month research project without a massive enterprise contract”	—	No	No	No
Growth Areas Adjacent, aspirational & visionary	—	—	—	—

“What do you know about Mithril? What do they do and what's their reputation?”

Yes

“i need to find h100 or a100 instances for a few weeks but everyone is sold out, where else should i look”

“how can i use spot instances for my ai training to save money, what platforms make this easy”

—

“what cloud providers offer nvlink and infiniband for multi-node training right now”

—

“what are the most reliable gpu cloud providers for ai startups right now”

“best places to rent gpus for cheap to fine-tune a llama model, specific providers please”

—

“how to get reserved gpu capacity for a 3-month research project without a massive enterprise contract”

—

Competitive Landscape

Lambda Labs

38 mentions

CoreWeave

35 mentions

RunPod

27 mentions

Vast.ai

26 mentions

AWS

25 mentions

NVIDIA

19 mentions

Paperspace

16 mentions

Microsoft Azure

15 mentions

GCP

11 mentions

GMI Cloud

11 mentions

Mithril

0 mentions

Analysis

Insights & Recommended Actions

What's working, what's not, and specific steps to improve Mithril's AI visibility.

Key Findings

Strength

Brand recognition exists in isolation, as evidenced by a #2 ranking in AI Overviews for direct 'vibe check' queries.

Strength

The underlying LLM training data acknowledges Mithril's existence in the Cloud Infrastructure sector, even if it lacks the 'preferred' status needed for recommendations.

Gap

Complete absence across all persona-driven searches, particularly missing the Enterprise AI Architect and Academic ML Research Lead segments.

Recommended Actions

Deploy high-authority technical whitepapers focusing on NVLink and Infiniband performance benchmarks.

Mithril is currently invisible for multi-node training queries; technical evidence is required to pivot LLMs from simple brand recognition to active recommendation for high-performance workloads.

Optimize digital presence for 'GPU availability' and 'H100 rental' intent clusters.

Competitors like CoreWeave and Lambda Labs are capturing 100% of the traffic for scaling queries. Mithril must associate its brand with immediate capacity to enter the recommendation set.

Launch a targeted content campaign aimed at the 'Cost-Optimizing Startup CTO' persona regarding spot instances.

This persona represents a major segment of the current query volume where Mithril has 0% visibility, despite it being a core use case for the brand's infrastructure.

Content Engineering

Content Ideas

Content designed to help AI agents learn about your category and recommend your brand.

Programmatic Testing

Sample Conversations

We programmatically analyze questions that real customers are asking to AI agents and chatbots, extract brand mentions and sentiment, analyze every response, and synthesize the data into an action plan to increase AI visibility.

ChatGPT

Claude

Gemini

AI Overviews

Scaling AI Workloads & GPU Availability(3 queries)

“i need to find h100 or a100 instances for a few weeks but everyone is sold out, where else should i look”

0/4 platforms mentioned

Core

ChatGPT

1.AWS

2.EC2

3.Google Cloud

4.Microsoft Azure

5.Oracle Cloud Infrastructure

+16 more

Claude

1.Lambda Labs

2.RunPod

3.Vast.ai

4.Paperspace

5.Gradient

+11 more

Gemini

1.Amazon Web Services (AWS)

2.EC2

3.AWS Spot Instances

4.AWS Reserved Instances

5.AWS Direct Connect

+15 more

AI Overviews

1.NVIDIA

2.Lambda Labs

3.Hyperstack

4.GMI Cloud

5.CoreWeave

+8 more

“best places to rent gpus for cheap to fine-tune a llama model, specific providers please”

0/3 platforms mentioned

Core

The Cost-Optimizing Startup CTO · Chief Technology Officer

Claude

1.RunPod

2.Kubernetes

3.Lambda Labs

4.Python

5.AWS

+4 more

Gemini

1.Llama

2.Lambda Labs

3.Python

4.Kubernetes

5.RunPod

+5 more

AI Overviews

1.Llama

2.Vast.ai

3.Thunder Compute

4.TensorDock

5.AWS

+7 more

“how to get reserved gpu capacity for a 3-month research project without a massive enterprise contract”

0/3 platforms mentioned

Core

The Cost-Optimizing Startup CTO · Chief Technology Officer

Claude

1.Lambda Labs

2.RunPod

3.Paperspace

4.DigitalOcean

5.Crusoe Energy

+2 more

Gemini

1.NVIDIA

2.Lambda Labs

3.RunPod

4.CoreWeave

5.FluidStack

AI Overviews

1.Lambda Labs

2.Hyperstack

3.GMI Cloud

4.NVIDIA H100s

5.RunPod

+7 more

Source Intelligence

Citations

The sources AI platforms cite when recommending this brand. Pendium reverse-engineers what's already proven to be catnip to AI agents, then engineers content that fills gaps and helps agents do their job — which means more citations for you.

10+ Leading Cloud GPU Providers Ranked by Performance

hyperstack.cloud

Mithril

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Start gettingrecommended by AI.

Frequently asked questions

Mithril

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Start gettingrecommended by AI.

Frequently asked questions

Start getting
recommended by AI.

Start getting
recommended by AI.