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

Lemurian Labs

Visibility6

Vibe78

Businesses/AI Infrastructure Software/Lemurian Labs

AI Visibility & Sentiment

Lemurian Labs

Lemurian Labs is an AI infrastructure company building Tachyon, a revolutionary software stack that enables AI workloads to run on any hardware with performance matching or exceeding hand-tuned kernels. They're eliminating the need for hardware-specific kernel programming, liberating AI from vendor lock-in and infrastructure constraints.

Active Monitoring

lemurianlabs.com

AI Infrastructure Software Startups

AI Visibility Score

6/100

Invisible

Sentiment Score

78/100

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

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Lemurian Labs today.

Lemurian Labs suffers from a severe 'echo chamber' effect where AI models possess perfect brand recall but fail to recommend the company for any actual technical solutions or hardware-agnostic infrastructure needs. While the brand shows a heartbeat within Gemini for academic research contexts, it is almost entirely bypassed in high-stakes enterprise conversations regarding CUDA alternatives and performance optimization. This disconnect reveals a critical opportunity to pivot from being 'known' to being 'recommended' by aligning technical content with the specific pain points of the HPC architect.

Working in your favor

100% visibility on brand-specific 'vibe check' queries across all tested platforms, indicating strong foundational training data presence.

Significant 33% mention rate among Academic ML Research Scientists, primarily driven by Gemini's retrieval-augmented generation.

Top-tier positioning (Rank #1) in Gemini for queries regarding cross-hardware infrastructure trust and evaluation.

Gaps to close

Total absence (0% visibility) from Claude and AI Overviews across all technical and intent-based queries.

Failure to surface for mission-critical industry keywords including 'AI vendor lock-in,' 'kernel performance,' and 'PyTorch hardware-agnostic stacks.'

Zero penetration into the Enterprise HPC Architect and Startup CTO personas, who are currently being directed exclusively toward NVIDIA, AMD, and ONNX.

Opportunities

The 'Eliminating AI Vendor Lock-in' query space is currently dominated by legacy names like ROCm and Intel, leaving a vacuum for a modern software-first challenger like Lemurian.

Leveraging the existing mixed-to-positive sentiment in Gemini to convert academic visibility into enterprise credibility through benchmark-heavy documentation.

Targeting the hardware-agnostic narrative where competitors like PyTorch and ONNX are mentioned frequently but lack the specific 'hand-tuned' performance positioning Lemurian offers.

Highest-Impact Actions

Re-engineer technical documentation to explicitly target 'hardware-agnostic PyTorch' and 'automated kernel optimization' keywords.

The data shows Lemurian is completely missing from these specific high-intent queries, which are the primary drivers for infrastructure selection.

Deploy a targeted PR and whitepaper campaign aimed at Enterprise HPC Architect concerns to break the 0% visibility streak in this persona.

Enterprise buyers rely on AI models to synthesize trust and performance data; without visibility here, Lemurian is excluded from the consideration set.

Aggressively pursue mentions in technical repositories and benchmark forums to influence the weights of ChatGPT and Claude.

Lemurian's 8% and 0% mention rates on these platforms suggest a lack of high-authority technical citations in their specific training/fine-tuning sets.

Value Proposition

Run AI workloads on any hardware, at any scale, with performance matching or exceeding hand-tuned kernels—eliminating vendor lock-in, kernel programming complexity, and the tradeoff between portability and performance

Overview

Mission

Building the hardware-agnostic software infrastructure that makes AI accessible to everyone—fast, affordable, and scalable. Liberating AI from the infrastructure that holds it back so transformative technology can reach its true purpose: advancing everyone.

Products & Services

Tachyon - hardware-agnostic AI software stackParallel optimizing compiler with hardware awarenessCommunication-optimal linear algebra generationCross-hardware runtime systemPyTorch-compatible AI acceleration platform

Current State

Visibility Landscape

A high-level view of how Lemurian Labs 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 Lemurian Labs? What do they do and what's their reputation?”	#1	#1	#1	#1
Core4q Product/service category queries	18	0	53	0
“how to run pytorch models on any hardware without losing speed”	No	No	#16	No
“how to get hand-tuned kernel performance on ai workloads without writing custom code”	No	No	No	No
“best ways to avoid being locked into nvidia cuda for ai training”	No	No	#16	No
“help me find a hardware-agnostic ai software stack that actually works”	#32	No	#8	No
Growth Areas2q Adjacent, aspirational & visionary	0	0	62	0
“top rated ai infrastructure software companies for cross-hardware support”	—	No	#1	No
“how to build a stack for running ai workloads across different cloud providers and gpus”	No	No	No	No

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

“how to run pytorch models on any hardware without losing speed”

#16

“how to get hand-tuned kernel performance on ai workloads without writing custom code”

“best ways to avoid being locked into nvidia cuda for ai training”

#16

“help me find a hardware-agnostic ai software stack that actually works”

#32

“top rated ai infrastructure software companies for cross-hardware support”

—

“how to build a stack for running ai workloads across different cloud providers and gpus”

Competitive Landscape

PyTorch

54 mentions

NVIDIA

52 mentions

AMD

42 mentions

CUDA

39 mentions

Intel

36 mentions

ROCm

31 mentions

ONNX

26 mentions

TensorRT

25 mentions

ONNX Runtime

23 mentions

Apache TVM

22 mentions

Lemurian Labs

5 mentions

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

100% visibility on brand-specific 'vibe check' queries across all tested platforms, indicating strong foundational training data presence.

Strength

Significant 33% mention rate among Academic ML Research Scientists, primarily driven by Gemini's retrieval-augmented generation.

Strength

Top-tier positioning (Rank #1) in Gemini for queries regarding cross-hardware infrastructure trust and evaluation.

Recommended Actions

Re-engineer technical documentation to explicitly target 'hardware-agnostic PyTorch' and 'automated kernel optimization' keywords.

The data shows Lemurian is completely missing from these specific high-intent queries, which are the primary drivers for infrastructure selection.

Deploy a targeted PR and whitepaper campaign aimed at Enterprise HPC Architect concerns to break the 0% visibility streak in this persona.

Enterprise buyers rely on AI models to synthesize trust and performance data; without visibility here, Lemurian is excluded from the consideration set.

Aggressively pursue mentions in technical repositories and benchmark forums to influence the weights of ChatGPT and Claude.

Lemurian's 8% and 0% mention rates on these platforms suggest a lack of high-authority technical citations in their specific training/fine-tuning sets.

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

Eliminating AI Vendor Lock In(3 queries)

“how to run pytorch models on any hardware without losing speed”

0/4 platforms mentioned

Core

ChatGPT

1.PyTorch

2.ONNX

3.TorchScript

4.ExecuTorch

5.TensorRT

+23 more

Claude

1.PyTorch

2.Jemalloc

3.TCMalloc

4.DistributedDataParallel

5.onnxruntime

+7 more

Gemini

1.PyTorch

2.Python

3.torch.compile

4.TorchInductor

5.Triton

+21 more

AI Overviews

1.PyTorch

2.ONNX

3.ONNX Runtime

4.CUDA

5.NVIDIA

+9 more

“best ways to avoid being locked into nvidia cuda for ai training”

0/4 platforms mentioned

Core

The Enterprise HPC Architect · Principal Systems Architect

ChatGPT

1.ONNX

2.SavedModel

3.TorchScript

4.ONNX Runtime

5.TVM

+32 more

Claude

1.NVIDIA

2.CUDA

3.H100

4.PyTorch

5.JAX

+29 more

Gemini

1.CUDA

2.cuBLAS

3.cuDNN

4.NCCL

5.NVIDIA

+31 more

AI Overviews

1.NVIDIA

2.CUDA

3.Thunder Compute

4.AMD

5.Intel

+13 more

“help me find a hardware-agnostic ai software stack that actually works”

0/4 platforms mentioned

Core

The Enterprise HPC Architect · Principal Systems Architect

ChatGPT

1.ONNX

2.Apache TVM

3.IREE

4.MLIR

5.ONNX Runtime

+29 more

Claude

1.Triton

2.XLA

3.AMD

4.CDNA

5.Llama 3

+20 more

Gemini

1.OpenAI Triton

2.CUDA

3.HIP

4.NVIDIA

5.AMD

+22 more

AI Overviews

1.NVIDIA

2.AMD

3.Intel

4.ARM

5.Modular MAX

+12 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.

Torch.Compile

docs.pytorch.org

Lemurian Labs

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 AI Infrastructure Software

Start gettingrecommended by AI.

Frequently asked questions

Lemurian Labs

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 AI Infrastructure Software

Start gettingrecommended by AI.

Frequently asked questions

Start getting
recommended by AI.

Start getting
recommended by AI.