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

Summary

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)

Agent Breakdown

AI Platforms

How often do different AI platforms reference Extropic?

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Conversation Analysis

Key Topics

What conversations is Extropic included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend Extropic to, and when?

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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

Brand Perception

What AI Really Thinks

We asked each AI platform directly about Extropic to understand how they perceive the brand. These responses back up the Sentiment Score and reveal tone, accuracy, and blind spots across platforms and personas.

0Positive

3Neutral

0Negative

across 3 responses

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

ChatGPT

Neutral

“…Extropic (Extropic AI) is a U.S.-based hardware startup founded in 2022 that is developing a new computing paradigm…”

Claude

Neutral

“…Extropic is a hardware/AI startup founded in 2023…”

Gemini

Neutral

“…Extropic is a high-profile hardware startup focused on a new paradigm of AI processing called thermodynamic computing.…”

Analysis

Key Insights

What AI visibility analysis reveals about this brand

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.

Technical Health

Site Health for AI Visibility

How well Extropic's website is optimized for AI agent discovery and comprehension.

86/100

16 passed 3 warnings 2 issues

Audited 3/20/2026

Crawlability90

Can AI bots find your pages?

Technical90

SSL, mobile, doctype basics

On-Page SEO78

Titles, descriptions, headings

Content Quality73

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG95

Open Graph, Twitter cards

AI Readability100

How well AI can parse your content

Critical Issues

Page has no H1 heading

Add a single H1 tag as the main page heading.

Content is too thin

Expand your content to at least 300-500 words with valuable information.

Warnings

6 render-blocking resources are slowing initial render

Defer non-critical JS with async/defer. Inline critical CSS. Move stylesheets to load asynchronously.

Meta description is too short (41 characters)

Expand the description to 150-160 characters with a clear value proposition.

Few headings on page

Add more H2 and H3 headings to organize content into sections.

Want a full technical audit with AI-specific recommendations?

Run a free visibility scan

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.

Competitive Landscape

Related Ecosystem

Related products and services that AI mentions in conversations 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

Source Intelligence

Citations

Sources that AI assistants cite. Getting featured here improves visibility.

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

https://howaiworks.ai/blog/tpu-gpu-asic-ai-hardware-market-2025

Referenced in 1 query

Review

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

https://medium.com/data-science-in-your-pocket/nvidia-vs-amd-best-gpu-for-ai-a9717735445d

Referenced in 1 query

Review

Hardware Recommendations for Generative AI | Puget Systems

https://www.pugetsystems.com/solutions/photo-editing-workstations/generative-ai/hardware-recommendations/

Referenced in 1 query

Review

Top 20+ AI Chip Makers: NVIDIA & Its Competitors

https://aimultiple.com/ai-chip-makers

Referenced in 4 queries

Review

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

https://www.sabrepc.com/blog/deep-learning-ai/best-gpus-for-ai

Referenced in 1 query

Review

Top 6 Modular AI alternatives for different needs in 2025

https://www.eesel.ai/blog/modular-ai-alternatives

Referenced in 1 query

Review

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

https://jarvislabs.ai/ai-faqs/what-are-the-best-gpus-for-running-ai-models

Referenced in 1 query

Review

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

https://medium.com/@maxel333/running-ai-models-without-nvidia-and-cuda-a-modern-guide-to-open-alternatives-026d08c4e016

Referenced in 1 query

Review

How to choose the best GPUs for AI projects | TechTarget

https://www.techtarget.com/searchenterpriseai/tip/How-to-choose-the-best-GPUs-for-AI-projects

Referenced in 1 query

Partner

Best GPUs for image generation in 2025 | WhiteFiber

https://www.whitefiber.com/compare/best-gpus-for-image-generation-in-2025

Referenced in 1 query

Review

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

https://www.thepurplestruct.com/blog/cpu-vs-gpu-vs-tpu-vs-npu-ai-hardware-architecture-guide-2025

Referenced in 1 query

Review

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

https://www.fluence.network/blog/cpu-gpu-tpu-npu-guide/

Referenced in 1 query

Review

Content Engineering

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.

Impact: High

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.

Impact: High

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.

Impact: Medium

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Data generated by Pendium.ai AI visibility scanning. Last scanned March 20, 2026.

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