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.

Businesses/Semiconductor / AI Hardware/MatX

AI Visibility & Sentiment

MatX

MatX is a semiconductor company building high-throughput AI chips specifically optimized for large language models. Their flagship MatX One chip delivers industry-leading performance for training and inference workloads at frontier AI labs, combining the efficiency of SRAM-first designs with HBM support for long-context applications.

Active Monitoring

matx.com

Semiconductor / AI Hardware Startups

AI Visibility Score

6/100

Invisible

Sentiment Score

88/100

Score by Reach

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

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe MatX today.

MatX is currently a ghost in the machine for high-stakes infrastructure decisions, remaining virtually non-existent in the critical conversations where enterprise architects design next-gen compute clusters. While the brand has found a niche foothold with startup CTOs, it is being systemically excluded from the 'Scaling Frontier AI Training' narrative dominated by NVIDIA and the CUDA ecosystem.

Value Proposition

The MatX One chip delivers higher throughput than any announced product while matching the best latencies, specifically designed from first principles for LLM workloads with no compromises for legacy use cases.

Overview

Mission

To make the best chips physically possible for the large model needs of frontier labs.

Products & Services

MatX One AI chipHigh-performance LLM training infrastructureLLM inference acceleration hardwareScale-out interconnect for large clustersDirect hardware programming model

Current State

Visibility Landscape

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

	ChatGPT	Claude	Gemini	AI Overviews
Reputation Brand recognition & direct queries	10	8	0	21
Core Topics Product/service category queries	0	0	0	0
Growth Areas Adjacent, aspirational & visionary	—	—	—	—

ChatGPT

Claude

Gemini

AI Overviews

Reputation

Brand recognition & direct queries

Core Topics

Product/service category queries

Growth Areas

Adjacent, aspirational & visionary

—

Competitive Landscape

NVIDIA

34 mentions

H100

26 mentions

CUDA

23 mentions

PyTorch

21 mentions

InfiniBand

20 mentions

ROCm

19 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Emerging resonance with the High-Growth AI Startup CTO persona, achieving a 21% mention rate

Strength

Strong performance in AI Overviews for brand-specific vibe checks, securing the #1 position

Strength

Consistently positive sentiment across ChatGPT and Claude when the brand is successfully surfaced

Recommended Actions

Produce deep-dive technical documentation on custom kernel optimization and direct hardware programming.

MatX is currently invisible in technical architecture queries where competitors like CUDA and ROCm are default answers; capturing this 'under-the-hood' search intent is vital for credibility.

Execute a Gemini-specific data seeding strategy focused on foundational compute cluster scaling.

A 0% mention rate on Gemini represents a critical failure in visibility that can be corrected by aligning web assets with Google's LLM training preferences.

Develop an 'Enterprise Readiness' content pillar specifically for Procurement Directors.

The 0% visibility with procurement personas prevents MatX from moving beyond the experimentation phase and into large-scale cluster contracts.

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 Frontier AI Training(3 queries)

“how do i build a massive compute cluster for training a foundation model from scratch, what hardware should i use”

0/3 platforms mentioned

Core

Claude

1.NVIDIA

2.NVIDIA H100

3.NVIDIA A100

4.NVIDIA H200

5.TPU v5e

+28 more

Gemini

1.NVIDIA H100

2.NVIDIA Blackwell

3.B200

4.GB200

5.AMD Instinct MI300X

+40 more

AI Overviews

1.GreenNode

2.Runpod

3.NVIDIA B200

4.Blackwell

5.AMD Instinct MI300X

+12 more

“what's the best hardware for scaling LLM training beyond 10000 nodes right now, give me specific brands”

0/4 platforms mentioned

Core

The Frontier Lab Infrastructure Architect · Principal Infrastructure Engineer

ChatGPT

1.NVIDIA

2.HGX

3.H100

4.Blackwell

5.InfiniBand NDR

+51 more

Claude

1.NVIDIA

2.Blackwell

3.B200

4.B100

5.H100

+18 more

Gemini

1.NVIDIA Blackwell GB200 NVL72

2.NVLink Switch System

3.InfiniBand

4.Quantum-X800 InfiniBand

5.H100

+12 more

AI Overviews

1.NVIDIA

2.AMD

3.IntuitionLabs

4.Supermicro

5.StorageReview.com

+32 more

“find me high-throughput AI chips optimized for LLMs that aren't just standard GPUs”

1/3 platforms mentioned

Core

The Frontier Lab Infrastructure Architect · Principal Infrastructure Engineer

Claude

1.Cerebras WSE-3

2.H100

3.Graphcore IPU (Mk2)

4.CUDA

5.SambaNova SN40L

+8 more

Gemini

1.Groq

2.LPU

3.CUDA

4.GroqNode

5.Blackwell

+19 more

AI Overviews

1.Groq LPU

2.SambaNova SN50 RDU

3.SambaNova

4.Cerebras WSE-3

5.Google TPU v7

7.MatX One

+2 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.

How to Design a GPU Cluster for AI Training - The Deep ...

youtube.com

Video1 ref

Best GPU for AI training (2026 guide) - Runpod

runpod.io

Web1 ref

What Is a GPU Cluster and How to Build One - GreenNode

greennode.ai

Web1 ref

Build Your Own AI Hypercomputer: Training Qwen2 on a Slurm Cluster

medium.com

Blog1 ref

A Practical Guide to Designing and Deploying an AI ...

greennode.ai

Web1 ref

What Are the Key Components of AI Infrastructure?

tencentcloud.com

Web1 ref

AMD vs NVIDIA 2026: Which GPU Fits Your Needs?

hostrunway.com

Web1 ref

Hardware Recommendations for AI Development

pugetsystems.com

Web1 ref

How to Build an AI Lab: 5 Powerful Hardware Requirements

acecomputers.com

Web1 ref

4 MLOps Best Practices for Efficiently Building AI Training ...

coreweave.com

Web1 ref

Building High Performance Computing Clusters (GPU) for AI at Scale

mychen76.medium.com

Blog1 ref

What are the hardware requirements for AI image generation?

tencentcloud.com

Web1 ref

AI Infrastructure: The Ultimate AI Deployment Guide to ...

techtimes.com

Web1 ref

How to Build a High Performance Computing Cluster

learn-more.supermicro.com

Web1 ref

What are the key components needed to build an AI supercomputer ...

umu.com

Web1 ref

Competitive Landscape

Brands and products that AI platforms mention alongside or instead of MatX.

NVIDIA34 mentions

H10026 mentions

CUDA23 mentions

PyTorch21 mentions

InfiniBand20 mentions

ROCm19 mentions

NVLink18 mentions

H20017 mentions

Cerebras16 mentions

Blackwell16 mentions

MatX5 mentions

Brand Identity

Brand Voice & Style

How AI perceives MatX's communication style and personality

MatX communicates with deep technical precision and confident authority, speaking directly to engineers and researchers who understand the nuances of chip architecture and ML systems. The tone is intellectually rigorous yet accessible, avoiding marketing fluff in favor of concrete specifications and first-principles reasoning. They project quiet confidence backed by exceptional credentials, letting technical achievements speak for themselves while maintaining an approachable, collaborative spirit that invites talented people to join their mission.

Core Tone Traits

Technically Precise

Uses specific metrics, architectural details, and quantitative claims rather than vague superlatives

Confidently Understated

Projects authority through substance rather than hype, letting achievements speak for themselves

First-Principles Oriented

Emphasizes reasoning from fundamentals and willingness to abandon conventional approaches

Intellectually Collaborative

Invites engagement from peers, values contributions, and shares research openly

Backing

Investors

Homebrew

Engineer content that makes AI agents recommend you

Pendium analyzes how AI platforms perceive your brand, reverse-engineers what they already cite, and continuously publishes content designed to fill gaps and earn more mentions — on autopilot, with you in the loop.

Data generated by Pendium.ai AI visibility scanning. Last scanned March 2, 2026.

MatX

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Competitive Landscape

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Start getting recommended by AI

Frequently asked questions