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

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Piris Labs

Visibility0

Vibe75

Businesses/AI Infrastructure & Hardware/Piris Labs

AI Visibility & Sentiment

Piris Labs

Piris Labs is a Y-Combinator backed startup building breakthrough optical interconnect technology and custom software stacks for AI inference. They are fundamentally reimagining data center architecture to deliver the world's fastest, most cost-effective AI inference with dramatically lower latency, power consumption, and cost per token.

Active Monitoring

pirislabs.io

AI Infrastructure & Hardware YC25-26

AI Visibility Score

0/100

Invisible

Sentiment Score

75/100

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 Piris Labs today.

Piris Labs is currently a ghost within the conversational AI landscape, failing to appear in a single functional query regarding AI infrastructure despite having a clear brand identity. While the brand is recognized in direct 'vibe check' searches, it is completely bypassed by architects and CTOs looking for solutions to inference costs and low-latency hardware, leaving the field entirely to competitors like NVIDIA and Groq.

Working in your favor

Core brand identity is indexed across all major LLMs (ChatGPT, Claude, Gemini), ensuring that users who already know the name Piris Labs receive an accurate description of the company.

Maintains a #1 position for direct brand inquiries, indicating that there are no conflicting entities or negative sentiment clouds surrounding the specific brand name.

Gaps to close

Total absence from high-intent queries regarding 'Optimizing AI Inference Performance and Cost,' where competitors like NVIDIA and vLLM are currently capturing 100% of the mindshare.

Zero visibility among the 'National Security AI Strategist' and 'HPC Architect' personas, who are currently being directed toward Cerebras and H100 hardware solutions.

Failure to surface in niche technical discussions like 'direct electricity-to-light conversion,' which should be a key differentiator for an innovative hardware lab.

Opportunities

Disrupt the 'Next-Generation Interconnect Research' narrative by publishing technical documentation that LLMs can ingest to associate Piris Labs with electricity-to-light conversion.

Target the 'Cost-Efficiency Driven Startup CTO' persona by creating comparative benchmarks against Groq and TensorRT-LLM to enter the conversation on inference cost ceilings.

Highest-Impact Actions

Publish and index technical whitepapers specifically addressing 'low-latency AI inference' and 'direct electricity-to-light' interconnects.

LLMs currently lack the associative data to link Piris Labs with these technical solutions, causing the brand to be omitted from 'best hardware' recommendations.

Develop a 'Problem/Solution' content pillar focusing on lowering inference costs for large-scale LLM deployments.

This query set is high-volume and currently dominated by software-only solutions like vLLM; a hardware-led cost-saving narrative would be highly disruptive.

Deploy a comparison-based technical blog series that benchmarks Piris Labs against NVIDIA H100 and Cerebras architectures.

Competitive mentions often trigger 'alternative' recommendations in AI responses, providing a backdoor into high-intent infrastructure queries.

Value Proposition

Delivering AI inference at light speed through proprietary optical interconnects that achieve 5x lower latency, 10x lower power per bit, and 2x lower cost per token compared to traditional data center architectures.

Overview

Mission

To redefine and build new compute architecture for AI inference by solving AI compute bottlenecks through breakthrough optical technology.

Products & Services

Optical interconnect technology for AI inferencePurpose-built inference software stackπ Conversion Engine (direct electricity-to-light conversion)Data center architecture solutionsLight engine technology for industrial applications

Current State

Visibility Landscape

A high-level view of how Piris 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 Piris Labs? What do they do and what's their reputation?”	#1	#1	#1	#1
Core3q Product/service category queries	0	0	0	0
“our inference costs are hitting a ceiling, how can we lower the cost per token for a massive llama 3 deployment? looking for specific hardware or stack recommendations”	No	No	No	No
“what's the best software stack for running large-scale llm inference on specialized ai hardware? looking for specific vendors”	No	No	No	No
“what are the best hardware options for low latency ai inference if we want to move away from standard gpus?”	—	No	No	No
Growth Areas2q Adjacent, aspirational & visionary	0	0	0	0
“is anyone doing direct electricity-to-light conversion for data center interconnects? give me a list of companies to check out”	No	No	No	No
“who are the most reliable startups in the ai infrastructure space right now besides groq and cerebras?”	No	No	No	No

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

“our inference costs are hitting a ceiling, how can we lower the cost per token for a massive llama 3 deployment? looking for specific hardware or stack recommendations”

“what's the best software stack for running large-scale llm inference on specialized ai hardware? looking for specific vendors”

“what are the best hardware options for low latency ai inference if we want to move away from standard gpus?”

—

“is anyone doing direct electricity-to-light conversion for data center interconnects? give me a list of companies to check out”

“who are the most reliable startups in the ai infrastructure space right now besides groq and cerebras?”

Competitive Landscape

NVIDIA

25 mentions

vLLM

22 mentions

Groq

20 mentions

H100

18 mentions

Cerebras

15 mentions

TensorRT-LLM

14 mentions

Llama 3

14 mentions

AWQ

13 mentions

Intel

13 mentions

Lambda Labs

12 mentions

Piris Labs

0 mentions

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Core brand identity is indexed across all major LLMs (ChatGPT, Claude, Gemini), ensuring that users who already know the name Piris Labs receive an accurate description of the company.

Strength

Maintains a #1 position for direct brand inquiries, indicating that there are no conflicting entities or negative sentiment clouds surrounding the specific brand name.

Gap

Total absence from high-intent queries regarding 'Optimizing AI Inference Performance and Cost,' where competitors like NVIDIA and vLLM are currently capturing 100% of the mindshare.

Recommended Actions

Publish and index technical whitepapers specifically addressing 'low-latency AI inference' and 'direct electricity-to-light' interconnects.

LLMs currently lack the associative data to link Piris Labs with these technical solutions, causing the brand to be omitted from 'best hardware' recommendations.

Develop a 'Problem/Solution' content pillar focusing on lowering inference costs for large-scale LLM deployments.

This query set is high-volume and currently dominated by software-only solutions like vLLM; a hardware-led cost-saving narrative would be highly disruptive.

Deploy a comparison-based technical blog series that benchmarks Piris Labs against NVIDIA H100 and Cerebras architectures.

Competitive mentions often trigger 'alternative' recommendations in AI responses, providing a backdoor into high-intent infrastructure queries.

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

Optimizing AI Inference Performance And Cost(2 queries)

“our inference costs are hitting a ceiling, how can we lower the cost per token for a massive llama 3 deployment? looking for specific hardware or stack recommendations”

0/4 platforms mentioned

Core

ChatGPT

1.vLLM

2.DeepSpeed

3.TensorRT

4.FasterTransformer

5.Triton

+36 more

Claude

1.Llama 3

2.H100

3.H200

4.L40S

5.AMD MI300X

+17 more

Gemini

1.Llama 3

2.NVIDIA H100s

3.AutoFP8

4.A100

5.A10

+25 more

AI Overviews

1.Llama 3

2.NVIDIA

3.H200

4.Blackwell

5.B200

+14 more

“what are the best hardware options for low latency ai inference if we want to move away from standard gpus?”

0/3 platforms mentioned

Core

The High-Performance Compute Architect · Principal Infrastructure Architect

Claude

1.Graphcore

2.IPU

3.Colossus

4.NVIDIA

5.Cerebras

+9 more

Gemini

1.NVIDIA

2.InfiniBand

3.Groq

4.LPU

5.Tensor Streaming Processor

+20 more

AI Overviews

1.Groq LPU

2.Google Cloud TPU

3.AWS Inferentia

4.Cerebras Wafer-Scale Engine

5.Untether AI

+6 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 Optimize LLM Inference Costs: A Multi-Layered Strategy

linkedin.com

Social1 ref

How Managed Inference Platforms Speed Up LLM ... - GMI Cloud

gmicloud.ai

Piris Labs

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Sample Conversations

Citations

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Start gettingrecommended by AI.

Frequently asked questions

Piris Labs

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Sample Conversations

Citations

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Start gettingrecommended by AI.

Frequently asked questions

Start getting
recommended by AI.

Start getting
recommended by AI.