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.

Roadmap Pricing

Get a demo

Hivenet

Visibility8

Vibe100

Businesses/Cloud Computing/Hivenet

AI Visibility & Sentiment

Hivenet

Hivenet is a Swiss-based technology company that provides a decentralized, community-driven cloud platform for storage and GPU computing. By aggregating idle hardware resources from a global network, they offer a sustainable, sovereign, and cost-effective alternative to traditional, energy-intensive data centers.

Active Monitoring

hivenet.com

Cloud Computing

AI Visibility Score

8/100

Invisible

Sentiment Score

100/100

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

adjacent

aspirational

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Hivenet today.

Hivenet currently exists in a state of 'AI anonymity,' possessing strong brand recognition when directly queried but failing to appear in the critical discovery moments where decision-makers choose infrastructure providers. While the brand is well-defined, it lacks the contextual authority required to rank alongside established competitors like Storj, Filecoin, and RunPod in high-intent purchase searches.

Working in your favor

High brand recall in direct 'vibe check' queries across ChatGPT, Claude, Gemini, and AI Overviews.

Recognition among the 'Sustainability-Driven CTO' persona, indicating a potential wedge for future market capture.

Gaps to close

Total absence in high-intent queries regarding affordable alternatives to AWS and Google Cloud.

Missing from the conversation surrounding decentralized storage and GPU rental marketplaces, where direct competitors are dominating.

Failure to capture the 'Privacy-Focused AI Developer' and 'Budget-Conscious Startup Founder' personas, both of which are natural target markets for Hivenet's offering.

Opportunities

Optimize technical documentation and whitepapers to explicitly address 'cheap alternatives to AWS/Google Cloud' to trigger inclusion in AI-driven comparison models.

Develop content specifically targeting the intersection of decentralized infrastructure and privacy, directly catering to the underserved developer persona.

Establish Hivenet's sustainability credentials as a primary differentiator to capture the audience currently seeking energy-efficient hardware setups.

Highest-Impact Actions

Develop a 'Competitor Comparison' hub on the website targeting 'Alternative to AWS/Google Cloud' keywords.

The data shows high-intent users are searching for alternatives, but Hivenet is currently invisible in these decision-making loops where competitors like Vast.ai and RunPod thrive.

Publish technical case studies that solve specific 'decentralized storage for large datasets' challenges.

This addresses the direct gap identified in high-intent infrastructure sourcing queries, moving Hivenet from an unknown entity to a top-of-mind solution.

Create persona-based landing pages for the 'Sustainability-Driven CTO' and 'Privacy-Focused Developer'.

By catering to the specific needs of these personas, Hivenet can build the topical authority required for AI models to associate the brand with specialized infrastructure needs.

Value Proposition

Hivenet offers a zero-knowledge, decentralized cloud architecture that reduces the carbon footprint of cloud services by up to 77% while ensuring data sovereignty and significantly lower costs compared to traditional hyperscalers.

Overview

Mission

Hivenet’s mission is to weave together unused computing resources using distributed computing technologies and build a cloud that is inherently sustainable, sovereign, affordable, secure, and private.

Products & Services

Store with HivenetCompute with HivenetSend with HivenetHivenet ContributePrivate AI

Current State

Visibility Landscape

A high-level view of how Hivenet 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	97	97	97	97
“What do you know about Hivenet? What do they do and what's their reputation?”	#1	#1	#1	#1
Core4q Product/service category queries	0	45	0	0
“what are some cheap alternatives to aws and google cloud for training machine learning models”	No	No	No	No
“best platforms for renting gpus to run private ai models at home”	No	No	No	No
“recommend decentralized cloud storage providers for large datasets that are more sustainable than big tech”	No	#1	No	No
“who are the most reliable competitors to storj and filecoin for long term data storage”	No	No	No	No
Growth Areas4q Adjacent, aspirational & visionary	0	0	0	0
“what should i look for when choosing a decentralized cloud provider compared to traditional data centers”	No	No	No	No
“what are the most energy efficient hardware setups for local ai development”	No	No	No	No
“best secure file sharing tools for teams that need to stay compliant with swiss privacy standards”	—	No	No	No
“recommendations for building an environmentally conscious tech stack for a new startup”	No	No	No	—

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

“what are some cheap alternatives to aws and google cloud for training machine learning models”

“best platforms for renting gpus to run private ai models at home”

“recommend decentralized cloud storage providers for large datasets that are more sustainable than big tech”

“who are the most reliable competitors to storj and filecoin for long term data storage”

“what should i look for when choosing a decentralized cloud provider compared to traditional data centers”

“what are the most energy efficient hardware setups for local ai development”

“best secure file sharing tools for teams that need to stay compliant with swiss privacy standards”

—

“recommendations for building an environmentally conscious tech stack for a new startup”

—

Competitive Landscape

AWS

37 mentions

NVIDIA

29 mentions

Filecoin

29 mentions

Vast.ai

28 mentions

Storj

27 mentions

RunPod

26 mentions

Arweave

24 mentions

Azure

23 mentions

Sia

23 mentions

Google Cloud

20 mentions

Hivenet

1 mention

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

High brand recall in direct 'vibe check' queries across ChatGPT, Claude, Gemini, and AI Overviews.

Strength

Recognition among the 'Sustainability-Driven CTO' persona, indicating a potential wedge for future market capture.

Gap

Total absence in high-intent queries regarding affordable alternatives to AWS and Google Cloud.

Recommended Actions

Develop a 'Competitor Comparison' hub on the website targeting 'Alternative to AWS/Google Cloud' keywords.

The data shows high-intent users are searching for alternatives, but Hivenet is currently invisible in these decision-making loops where competitors like Vast.ai and RunPod thrive.

Publish technical case studies that solve specific 'decentralized storage for large datasets' challenges.

This addresses the direct gap identified in high-intent infrastructure sourcing queries, moving Hivenet from an unknown entity to a top-of-mind solution.

Create persona-based landing pages for the 'Sustainability-Driven CTO' and 'Privacy-Focused Developer'.

By catering to the specific needs of these personas, Hivenet can build the topical authority required for AI models to associate the brand with specialized infrastructure needs.

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

High Performance GPU And Cloud Infrastructure Sourcing(3 queries)

“what are some cheap alternatives to aws and google cloud for training machine learning models”

0/4 platforms mentioned

Core

ChatGPT

1.Vast.ai

2.RunPod

3.Lambda

4.CoreWeave

5.Genesis Cloud

+10 more

Claude

1.AWS

2.Google Cloud

3.Vast.ai

4.TensorDock

5.Lambda Labs

+11 more

Gemini

1.AWS

2.Google Cloud

3.PyTorch

4.TensorFlow

5.Lambda Labs

+7 more

AI Overviews

1.AWS

2.Google Cloud

3.GCP

4.Thunder Compute

5.NVIDIA

+8 more

“best platforms for renting gpus to run private ai models at home”

0/4 platforms mentioned

Core

The Privacy-Focused AI Developer · AI Researcher

ChatGPT

1.CoreWeave

2.Lambda

3.Runpod

4.Vast.ai

5.Genesis Cloud

+11 more

Claude

1.Lambda

2.Corvex

3.Vast.ai

4.RunPod

5.Hyperstack

+1 more

Gemini

1.Akash Network

2.io.net

3.Vultr

4.Packet

5.Equinix Metal

+4 more

AI Overviews

1.AWS

2.Google Cloud

3.Vast.ai

4.RunPod

5.Lambda Labs

+6 more

“recommend decentralized cloud storage providers for large datasets that are more sustainable than big tech”

0/4 platforms mentioned

Core

The Privacy-Focused AI Developer · AI Researcher

ChatGPT

1.Storj

2.Filecoin

3.IPFS

4.Arweave

5.Sia

+8 more

Claude

1.Filecoin

2.Storj

3.Arweave

4.AO

5.Akave Cloud

+2 more

Gemini

1.Filecoin

2.Protocol Labs

3.IPFS

4.Storj

5.Storj DCS

+4 more

AI Overviews

1.Filecoin

2.Storj

3.Arweave

4.Züs

5.0Chain

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.

Pricing

docs.vast.ai

Hivenet

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Engineer content that makes AI agents recommend you

Explore Cloud Computing

Start gettingrecommended by AI.

Frequently asked questions

Hivenet

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Engineer content that makes AI agents recommend you

Explore Cloud Computing

Start gettingrecommended by AI.

Frequently asked questions

Start getting
recommended by AI.

Start getting
recommended by AI.