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.

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Extropic

Visibility32

Vibe91

Businesses/Semiconductor / Artificial Intelligence Hardware/Extropic

AI Visibility & Sentiment

Extropic

Extropic is a pioneering AI hardware company that utilizes thermodynamic computing to perform probabilistic calculations. By leveraging natural entropy, their technology offers massive energy efficiency improvements over traditional digital processors for generative AI workloads.

Active Monitoring

extropic.ai

Semiconductor / Artificial Intelligence Hardware Startups

AI Visibility Score

32/100

Low

Sentiment Score

91/100

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

aspirational

visionary

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Extropic today.

Extropic currently occupies a niche position in the AI hardware landscape, relying heavily on Gemini as its primary digital lighthouse while remaining largely invisible in broader research and infrastructure discourse. While the brand maintains high authority for direct identity queries, it fails to translate that recognition into the high-value 'hardware alternative' conversations that drive industry adoption.

Value Proposition

The company treats electrical noise as a computational asset rather than a hindrance, enabling the execution of generative AI sampling and denoising tasks with up to 10,000x greater energy efficiency than traditional GPUs.

Overview

Mission

To forge the ultimate physics-based computer that harnesses the natural entropy and fluctuations inherent in matter, redefining AI computation in ways that maximize efficiency in space, time, and energy.

Products & Services

Z1 ProcessorXTR-0 Development Platformthrml Python LibraryDenoising Thermodynamic Model (DTM)

Current State

Visibility Landscape

A high-level view of how Extropic 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	4	41	49	16
Core Topics Product/service category queries	0	9	49	30
Growth Areas Adjacent, aspirational & visionary	0	0	18	0

ChatGPT

Claude

Gemini

AI Overviews

Reputation

Brand recognition & direct queries

Core Topics

Product/service category queries

Growth Areas

Adjacent, aspirational & visionary

Competitive Landscape

PyTorch

46 mentions

Groq

34 mentions

Cerebras

31 mentions

JAX

30 mentions

TensorFlow

27 mentions

NVIDIA

27 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

High recognition and brand authority on Gemini across both general inquiries and specialized compute hardware comparisons.

Strength

Effective brand narrative control on direct queries, achieving top-tier placement across all analyzed platforms when users specifically look for Extropic.

Strength

Successful alignment with Generative AI researchers, representing the strongest audience persona for the brand's current technical positioning.

Recommended Actions

Develop content specifically mapping Extropic’s hardware performance against established incumbents like NVIDIA and Cerebras.

Data shows users frequently search for alternatives to current market leaders; currently, Extropic is absent from these high-intent discovery phases.

Optimize technical documentation and whitepapers for AI Overviews and ChatGPT indexing.

Extropic relies too heavily on Gemini; diversifying across platforms is critical to building a robust search presence that isn't dependent on a single model's algorithm.

Publish targeted use-case studies focusing on thermodynamic modeling and energy efficiency in AI research.

There is a clear gap in the software/research space; content addressing these specific pain points will improve visibility with the under-served Generative AI researcher and architect segments.

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 Efficiency AI Compute Hardware Selection(3 queries)

“what are the best hardware alternatives to gpus for running generative ai and denoising models efficiently”

0/4 platforms mentioned

Core

ChatGPT

1.TensorFlow

2.JAX

3.Google Cloud

4.AWS (Trainium, Inferentia2)

5.Cerebras (WSE-3)

+11 more

Claude

1.TensorFlow

2.Qualcomm (Snapdragon)

3.MediaTek (Dimensity)

4.Intel (Agilex, Habana Gaudi3, oneAPI)

5.AMD (Versal, Instinct, ROCm)

+9 more

Gemini

1.Groq (Tensor Streaming Processor)

2.Llama 3

3.NVIDIA (H100)

4.Tenstorrent (Wormhole, Blackhole)

5.Cerebras (CS-3, Wafer-Scale Engine)

+4 more

AI Overviews

1.Groq (Groq 3)

2.Stable Diffusion

3.Google Cloud Platform

4.NVIDIA (H100)

“compare specialized chips like z1 processor and other neuromorphic or thermodynamic compute platforms for ai workloads”

2/3 platforms mentioned

Core

ChatGPT

1.AMD (Ryzen Z1, Zen 4, RDNA 3)

2.ASUS (ROG Ally)

3.Tesla (Dojo, D1)

4.IBM (Telum, z17, Telum II)

5.SpiNNaker

+8 more

Claude

1.Extropic AI (Z1)

2.Intel (Loihi 2)

3.IBM (NorthPole)

4.BrainScaleS-2

5.Heidelberg University

+10 more

Gemini

1.Extropic (Z1 processor, XTR-0, THRML)

2.Stable Diffusion

3.PyTorch

4.TensorFlow

“recommend high-performance hardware development platforms for testing probabilistic computing models”

0/4 platforms mentioned

Adjacent

ChatGPT

1.NVIDIA (Hopper, H100, Transformer Engine, DGX, HGX)

2.xAI

3.CUDA

4.cuDNN

5.NCCL

+16 more

Claude

1.NVIDIA

2.AMD (Vitis AI)

3.JAX

4.PyTorch

5.NumPyro

+14 more

Gemini

1.Intel (Loihi 2, Hala Point, Agilex 7, oneAPI)

2.IBM (NorthPole)

3.Purdue-P

4.AMD (Xilinx, Versal AI Core, Alveo U250, Alveo U280)

5.NVIDIA (H100, H200, Grace Hopper)

+2 more

AI Overviews

1.NVIDIA

2.CUDA

3.AMD (Xilinx)

4.Intel

5.Achronix

+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.

TPUs vs GPUs vs ASICs: AI Hardware Guide 2025 | AI Blog | HowAIWorks.ai

howaiworks.ai

Web1 ref

NVIDIA vs AMD : Best GPU for AI?. comparing AMD and NVIDIA GPUs | by Mehul Gupta | Data Science in Your Pocket | Medium

medium.com

Blog1 ref

Hardware Recommendations for Generative AI | Puget Systems

pugetsystems.com

Web1 ref

Top 20+ AI Chip Makers: NVIDIA & Its Competitors

aimultiple.com

Web1 ref

Best GPUs for AI 2025 | Training, Inferencing & Local AI | SabrePC Blog

sabrepc.com

Web1 ref

Top 6 Modular AI alternatives for different needs in 2025

eesel.ai

Web1 ref

What are the Best GPUs for Running AI models? | AI FAQ | Jarvis Labs

jarvislabs.ai

Web1 ref

Running AI Models Without NVIDIA and CUDA: A Modern Guide to Open Alternatives | by Wassim | Medium

medium.com

Blog1 ref

How to choose the best GPUs for AI projects | TechTarget

techtarget.com

Web1 ref

Best GPUs for image generation in 2025 | WhiteFiber

whitefiber.com

Web1 ref

CPU vs GPU vs TPU vs NPU: AI Hardware Architecture Guide 2025

thepurplestruct.com

Web1 ref

CPU, GPU, TPU & NPU: What to Use for AI Workloads (2026 Guide) - Fluence

fluence.network

Web1 ref

AI Chips Overview: TPU, NPU, GPU, and FPGA - Tech News

bizety.com

Web1 ref

Performance and Efficiency Gains of NPU-Based Servers over GPUs for AI Model Inference | MDPI

mdpi.com

Web1 ref

Global AI Hardware Landscape 2025: Comparing Leading GPU, FPGA, and ASIC AI Accelerators - Geniatech

geniatech.com

Web1 ref

Competitive Landscape

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

PyTorch46 mentions

Groq34 mentions

Cerebras31 mentions

JAX30 mentions

TensorFlow27 mentions

NVIDIA27 mentions

TSMC27 mentions

Extropic24 mentions

DeepXDE20 mentions

Samsung17 mentions

Tenstorrent16 mentions

Brand Identity

Brand Voice & Style

How AI perceives Extropic's communication style and personality

Extropic communicates with a visionary, high-stakes, and intellectually rigorous tone that bridges the gap between deep physics and cutting-edge AI. They position themselves as pioneers of a new civilizational paradigm, using language that is both grand and technically precise. The voice is unapologetically bold, framing their work as a necessary evolution to overcome the limitations of current digital computing, while remaining grounded in scientific credibility.

Core Tone Traits

Visionary & Bold

Frames the company's work as a fundamental shift in the trajectory of human civilization and AI.

Scientifically Rigorous

Uses precise terminology and first-principles thinking to establish authority in hardware and physics.

Urgent & Purposeful

Conveys a sense of necessity regarding the 'AI energy wall' and the need for immediate, radical innovation.

Sophisticated & Minimalist

Reflects the clean, high-end aesthetic of their hardware and documentation.

Backing

Investors

Weekend Fund

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 20, 2026.

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