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

Get a demo

Rafay

Visibility41

Vibe98

Businesses/Enterprise Software/Rafay

AI Visibility & Sentiment

Rafay

Rafay provides an enterprise-grade infrastructure orchestration and workflow automation platform designed for cloud-native and AI workloads. The platform enables organizations to transform complex compute environments into self-service consumption engines, supporting GPU cloud providers, enterprises leveraging private clouds, and those operating in public clouds.

Active Monitoring

rafay.co

Enterprise Software Startups

AI Visibility Score

41/100

Moderate

Sentiment Score

98/100

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 Rafay today.

Rafay has successfully established itself as a primary authority for AI Infrastructure Architects, achieving a dominant 75% mention rate and an elite 2.0 average position on Claude. However, this niche success is undercut by a total lack of visibility in high-volume multi-cloud and platform engineering queries where incumbent competitors like Terraform and AWS currently own the narrative. The brand is effectively a specialist 'hidden gem' that lacks the broad discoverability required to capture the wider enterprise Kubernetes market.

Working in your favor

Exceptional performance on Claude with a 2.0 average rank and consistent top-tier placement for 'Evaluating Enterprise Infrastructure Platforms'.

High resonance with the AI Infrastructure Architect persona, achieving a 75% mention rate, indicating strong topical authority in GPU-centric infrastructure.

Dominant mention rate on Gemini (73%), showing that Google's LLM identifies Rafay as a relevant player in the AI/ML workload management space.

Gaps to close

Complete invisibility in 'Multi-Cloud Kubernetes Operations' and 'Platform Engineering' queries across ChatGPT and other key platforms, where competitors like Rancher and Crossplane are frequently cited.

Mixed sentiment on Gemini despite high frequency, suggesting that while the brand is known, the specific nature of the mentions may lack the authoritative backing found on Claude.

Poor ranking depth in AI Overviews (avg pos 11.4), which limits click-through potential for users seeking immediate enterprise solutions.

Opportunities

Leverage the brand's 1.0 rank on 'brand_vibe_check' to bridge the gap between AI-specific workloads and general Kubernetes management.

Capitalize on the existing 73% mention rate on Gemini by refining technical content to shift 'mixed' sentiment toward 'positive' through clearer ROI and security messaging.

Target the 'Strategic Platform Engineering Lead' persona specifically to improve the current 11.0 average position and move from a mention to a recommendation.

Highest-Impact Actions

Execute a targeted content campaign for Multi-Cloud Kubernetes Operations.

Rafay is currently 'not mentioned' in this critical query category, allowing Terraform and AWS to capture high-intent enterprise traffic.

Audit and update technical documentation cited by Gemini to address 'mixed' sentiment.

High mention frequency on Gemini (73%) is wasted if the sentiment is not consistently positive; this is the quickest path to increasing the overall score.

Develop a 'Platform Engineering for AI' authoritative whitepaper and landing page.

Rafay performs well in AI/GPU niches but fails in general Platform Engineering queries; combining these terms will help bridge the visibility gap.

Value Proposition

Rafay simplifies infrastructure orchestration for cloud-native and AI workloads, enabling enterprises to achieve self-service consumption, full lifecycle management, and accelerated developer productivity across hybrid and multi-cloud environments.

Overview

Mission

Elevate infrastructure to become a launchpad for innovation by transforming complex compute environments into self-service consumption engines for enterprises.

Products & Services

Kubernetes Management PlatformGPU Cloud Infrastructure OrchestrationAI/ML Workload ManagementMulti-Cloud Cluster AutomationInfrastructure Lifecycle Management

Current State

Visibility Landscape

A high-level view of how Rafay 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 Rafay? What do they do and what's their reputation?”	#1	#1	#1	#1
Core6q Product/service category queries	40	82	80	47
“we're starting to run way more AI models on-prem and in the cloud, what's the best way to manage all our GPU clusters without a huge manual overhead?”	#12	#4	#2	#3
“we have clusters in AWS, Azure, and some on-prem stuff, what platforms can help me manage all of them from one place?”	No	#1	#10	#26
“my dev teams are complaining that getting cloud infrastructure takes too long, what software can help me build a self-service consumption engine for them?”	No	No	#11	No
“who are the most trusted providers for enterprise Kubernetes management right now?”	#5	#1	#11	#21
“help me set up a self-service portal for my data scientists to grab GPU resources whenever they need them for training”	—	#2	#1	#2
“what tools should I use for AI/ML workload management across a hybrid cloud setup?”	—	#2	#5	No
Growth Areas Adjacent, aspirational & visionary	—	—	—	—

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

“we're starting to run way more AI models on-prem and in the cloud, what's the best way to manage all our GPU clusters without a huge manual overhead?”

#12

“we have clusters in AWS, Azure, and some on-prem stuff, what platforms can help me manage all of them from one place?”

#10

#26

“my dev teams are complaining that getting cloud infrastructure takes too long, what software can help me build a self-service consumption engine for them?”

#11

“who are the most trusted providers for enterprise Kubernetes management right now?”

#11

#21

“help me set up a self-service portal for my data scientists to grab GPU resources whenever they need them for training”

—

“what tools should I use for AI/ML workload management across a hybrid cloud setup?”

—

Competitive Landscape

Rafay

26 mentions

Terraform

18 mentions

AWS

18 mentions

Kubernetes

15 mentions

NVIDIA GPU Operator

15 mentions

Kubeflow

15 mentions

Prometheus

15 mentions

Crossplane

14 mentions

Rancher

13 mentions

VMware Tanzu

13 mentions

Red Hat OpenShift

13 mentions

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Exceptional performance on Claude with a 2.0 average rank and consistent top-tier placement for 'Evaluating Enterprise Infrastructure Platforms'.

Strength

High resonance with the AI Infrastructure Architect persona, achieving a 75% mention rate, indicating strong topical authority in GPU-centric infrastructure.

Strength

Dominant mention rate on Gemini (73%), showing that Google's LLM identifies Rafay as a relevant player in the AI/ML workload management space.

Recommended Actions

Execute a targeted content campaign for Multi-Cloud Kubernetes Operations.

Rafay is currently 'not mentioned' in this critical query category, allowing Terraform and AWS to capture high-intent enterprise traffic.

Audit and update technical documentation cited by Gemini to address 'mixed' sentiment.

High mention frequency on Gemini (73%) is wasted if the sentiment is not consistently positive; this is the quickest path to increasing the overall score.

Develop a 'Platform Engineering for AI' authoritative whitepaper and landing page.

Rafay performs well in AI/GPU niches but fails in general Platform Engineering queries; combining these terms will help bridge the visibility gap.

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

AI And GPU Infrastructure Strategy(3 queries)

“we're starting to run way more AI models on-prem and in the cloud, what's the best way to manage all our GPU clusters without a huge manual overhead?”

1/4 platforms mentioned

Core

ChatGPT

1.Kubernetes

2.NVIDIA GPU Operator

3.Cluster Autoscaler

4.Karpenter

5.Kubeflow

+36 more

Claude

1.NVIDIA GPU Operator

2.NVIDIA Triton Inference Server

3.Ray

4.Runai

5.Anduril

+6 more

Gemini

1.Kubernetes

2.NVIDIA GPU Operator

3.Amazon EKS

4.Google GKE

5.Azure AKS

+24 more

AI Overviews

1.NVIDIA Run:ai

2.ClearML

3.Rafay

4.NVIDIA GPU Operator

5.Prometheus

+12 more

“help me set up a self-service portal for my data scientists to grab GPU resources whenever they need them for training”

2/3 platforms mentioned

Core

The Strategic Platform Engineering Lead · Head of Platform Engineering

Claude

1.Karpenter

2.EKS

3.GKE Autopilot

4.GKE

5.Terraform

+9 more

Gemini

1.NVIDIA

2.Terraform

3.Crossplane

4.TensorFlow

5.PyTorch

28.Rafay

+24 more

AI Overviews

1.NVIDIA Run:ai

2.Kubeflow

3.Rafay AI Workbench

4.Lightning AI

5.DigitalOcean

+5 more

“what tools should I use for AI/ML workload management across a hybrid cloud setup?”

1/3 platforms mentioned

Core

The Strategic Platform Engineering Lead · Head of Platform Engineering

Claude

1.Kubeflow

2.EKS

3.GKE

4.Ray on Kubernetes

5.Terraform

+11 more

Gemini

1.Kubernetes

2.Terraform

3.Crossplane

4.Kubeflow

5.TensorFlow

11.Rafay

+20 more

AI Overviews

No brands listed

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.

Top 12 Cloud GPU Providers for AI and Machine Learning in ...

runpod.io

Rafay

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Explore Enterprise Software

Start gettingrecommended by AI.

Frequently asked questions

Rafay

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Explore Enterprise Software

Start gettingrecommended by AI.

Frequently asked questions

Start getting
recommended by AI.

Start getting
recommended by AI.