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.

Roadmap Pricing

Get a demo

Together AI

Visibility12

Vibe100

Businesses/Information Technology / Cloud Computing/Together AI

AI Visibility & Sentiment

Together AI

Together AI is a research-driven artificial intelligence company that provides a full-stack cloud platform for building, training, and running generative AI models. The platform enables developers and enterprises to utilize open-source models with industry-leading performance and cost-efficiency via high-performance GPU infrastructure.

Active Monitoring

together.ai

Information Technology / Cloud Computing Startups

AI Visibility Score

12/100

Invisible

Sentiment Score

100/100

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

aspirational

visionary

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Together AI today.

Together AI is currently a 'best-kept secret' in the AI infrastructure market, enjoying strong recognition within the Gemini ecosystem for performance-focused inference but remaining largely invisible to the broader developer community. While high-intent users looking for Llama deployment solutions consistently find the brand, Together AI is failing to capture the narrative in foundational developer research and enterprise-grade GPU procurement discussions where competitors like AWS and CoreWeave dominate.

Working in your favor

High brand resonance with budget-conscious startup founders and infrastructure cost-optimizers looking for specific Llama model deployment.

Strong positioning within the Gemini platform for core technical queries regarding high-performance AI inference and model endpoints.

Effective brand-vibe consistency, achieving top-tier ranking when users query specifically for the Together AI company profile.

Gaps to close

Total absence in broader developer-led research, specifically regarding building custom AI agent stacks and setting up local development environments.

Underperformance in enterprise-trust queries where users are evaluating GPU cloud providers for long-term scalability and reliability.

Negligible footprint on platforms beyond Gemini, missing key opportunities to influence developers using ChatGPT and Claude.

Opportunities

Establish thought leadership in the 'software stack for custom AI agents' conversation to move beyond just being a GPU provider.

Target high-intent technical documentation and developer tutorials to bridge the gap from aspirational 'best platform' lists to top-of-mind mentions.

Diversify visibility across diverse AI search ecosystems to capture developers who rely on Claude or ChatGPT for technical architectural advice.

Highest-Impact Actions

Develop comprehensive 'Developer How-To' technical content specifically addressing AI agent stacks and environment setup.

The data shows a complete lack of presence in development environment queries, which is where developers formulate their long-term infrastructure preferences.

Optimize technical collateral for Enterprise-grade trust and reliability signals.

Together AI is missing from 'trusted GPU cloud provider' discussions, currently losing significant enterprise share to incumbents like AWS and Azure.

Execute a platform-specific SEO strategy for ChatGPT and Claude ecosystems.

Currently, Together AI relies almost exclusively on Gemini; expanding into the broader AI-search market is critical to reaching developers who prefer conversational alternatives.

Value Proposition

Together AI delivers high-performance inference at a fraction of the cost of proprietary models while championing 'sovereign AI' through their commitment to open-source models and providing customers with full control over their weights, data, and models.

Overview

Mission

To make open-source AI accessible, performant, and affordable for everyone—helping teams ship faster, scale reliably, and achieve superior unit economics.

Products & Services

Together InferenceTogether GPU ClustersTogether Fine-tuningDedicated Endpoints

Current State

Visibility Landscape

A high-level view of how Together AI 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	—
“What do you know about Together AI? What do they do and what's their reputation?”	—	—	#1	—
Core5q Product/service category queries	0	0	77	0
“what are the best platforms to run open source llms like llama 3 for low latency inference”	No	No	#3	No
“compare gpu cloud providers for fine-tuning open source models at scale”	—	—	#10	—
“i need a way to deploy llama models on dedicated endpoints that won't break the bank, what are my options”	—	—	#5	—
“what are the most trusted gpu cloud providers for enterprise ai development right now”	—	—	#9	—
“what are the best alternatives for high performance cloud gpu resources beyond the main big three cloud giants”	—	—	#11	—
Growth Areas4q Adjacent, aspirational & visionary	—	—	38	—
“what should i look for when choosing a cloud provider for gpu clusters to train llms”	—	—	No	—
“best tools for developers to integrate open source models into their backend applications”	—	—	#5	—
“what software stack do i need to build a custom ai agent platform that leverages open weights”	—	—	No	—
“how do i start setting up my own ai development environment if i want to stay away from closed models”	—	—	#13	—

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

—

“what are the best platforms to run open source llms like llama 3 for low latency inference”

“compare gpu cloud providers for fine-tuning open source models at scale”

—

#10

—

“i need a way to deploy llama models on dedicated endpoints that won't break the bank, what are my options”

—

“what are the most trusted gpu cloud providers for enterprise ai development right now”

—

“what are the best alternatives for high performance cloud gpu resources beyond the main big three cloud giants”

—

#11

—

“what should i look for when choosing a cloud provider for gpu clusters to train llms”

—

“best tools for developers to integrate open source models into their backend applications”

—

“what software stack do i need to build a custom ai agent platform that leverages open weights”

—

“how do i start setting up my own ai development environment if i want to stay away from closed models”

—

#13

—

Competitive Landscape

AWS

24 mentions

RunPod

22 mentions

vLLM

21 mentions

CoreWeave

20 mentions

Lambda Labs

19 mentions

Azure

18 mentions

NVIDIA

16 mentions

GCP

16 mentions

Vast.ai

14 mentions

Together AI

14 mentions

Groq

11 mentions

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

High brand resonance with budget-conscious startup founders and infrastructure cost-optimizers looking for specific Llama model deployment.

Strength

Strong positioning within the Gemini platform for core technical queries regarding high-performance AI inference and model endpoints.

Strength

Effective brand-vibe consistency, achieving top-tier ranking when users query specifically for the Together AI company profile.

Recommended Actions

Develop comprehensive 'Developer How-To' technical content specifically addressing AI agent stacks and environment setup.

The data shows a complete lack of presence in development environment queries, which is where developers formulate their long-term infrastructure preferences.

Optimize technical collateral for Enterprise-grade trust and reliability signals.

Together AI is missing from 'trusted GPU cloud provider' discussions, currently losing significant enterprise share to incumbents like AWS and Azure.

Execute a platform-specific SEO strategy for ChatGPT and Claude ecosystems.

Currently, Together AI relies almost exclusively on Gemini; expanding into the broader AI-search market is critical to reaching developers who prefer conversational alternatives.

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

Infrastructure For High Performance AI Inference(3 queries)

“what are the best platforms to run open source llms like llama 3 for low latency inference”

1/4 platforms mentioned

Core

ChatGPT

1.NVIDIA (TensorRT-LLM, Triton)

2.vLLM

3.Hugging Face (Inference Endpoints, Text-Generation-Inference)

4.llama.cpp

5.GGML

+11 more

Claude

1.vLLM

2.Hugging Face

3.NVIDIA (TensorRT-LLM)

4.SGLang

5.Ollama

+4 more

Gemini

1.Llama 3

2.Groq

3.Cerebras

4.Together AI (Together Kernel Collection)

5.Fireworks AI

+9 more

AI Overviews

1.Groq

2.SambaNova

3.SiliconFlow

4.NVIDIA

5.Fireworks AI

+6 more

“compare gpu cloud providers for fine-tuning open source models at scale”

0/1 platforms mentioned

Core

Gemini

1.AWS

2.Google Cloud

3.Azure

4.Amazon Web Services (SageMaker)

5.Google Cloud Platform

+9 more

“i need a way to deploy llama models on dedicated endpoints that won't break the bank, what are my options”

1/1 platforms mentioned

Core

Gemini

1.Llama

2.RunPod

3.Lambda Labs

4.Vast.ai

5.Together AI

+9 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.

TensorRT LLM

github.com

Code1 ref

Vllm

github.com

Code1 ref

Tgi

huggingface.co

Web1 ref

Llama.Cpp

github.com

Code1 ref

Mii

deepspeed.ai

Web1 ref

Meta Llama3 Inference Acceleration

blogs.nvidia.com

Web1 ref

Gptqmodel

docs.vllm.ai

Web1 ref

Spec Decode

vllm.ai

Web1 ref

Llmsys 22 VLLM Woosuk Kwon 1f34697dbb1a1fb5b798daf6eff14b67.Pdf

llmsystem.github.io

Web1 ref

Benchmarking Llm Inference Backends

bentoml.com

Web1 ref

Self Hosting Llms In June 2025

heyferrante.com

Web1 ref

Text Generation Inference

github.com

Code1 ref

Llm Quantization

bentoml.com

Web1 ref

New AI Inference Speed Benchmark for Llama 3.3 70B, Powered by Groq | Groq is fast, low cost inference.

groq.com

Web1 ref

Top 5 Best LLM Models to Run Locally in CPU (2025 Edition)

kolosal.ai

Web1 ref

Brand Identity

Brand Voice & Style

How AI perceives Together AI's communication style and personality

Together AI communicates with a blend of high-level technical authority and accessible innovation. The brand voice is precise, research-backed, and forward-thinking, positioning itself as the essential infrastructure layer for AI-native companies. It avoids marketing fluff, instead relying on performance metrics, research-driven breakthroughs, and clear, functional language to build trust with engineers, researchers, and technical decision-makers.

Core Tone Traits

Research-Driven & Analytical

Deeply rooted in foundational systems research, prioritizing data, benchmarks, and technical performance.

Authoritative & Expert

Speaks with the confidence of an industry leader, focusing on 'AI Native' infrastructure and cutting-edge optimizations.

Direct & Functional

Clear, concise communication that respects the user's time, focusing on utility, cost-efficiency, and speed.

Empowering & Collaborative

Positions the platform as a partner in the user's development journey, emphasizing accessibility and open-source values.

Visual Identity

Primary

#EF2CC1

Secondary

#FC4C02

Accent

#CAAEF5

Background

#FFFFFF

Foreground

#111111

Backing

Investors

Kleiner Perkins

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 22, 2026.

Start getting
recommended by AI.

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Free visibility scanResults in 2 minutesNo credit card required

Frequently asked questions

Don't see your question? Book a demo and we'll walk you through it.

AI Visibility Score

Together AI has an AI visibility score of 12/100, rated as invisible. This score reflects how often and how prominently Together AI appears in responses from AI assistants like ChatGPT, Claude, and Gemini.

AI Perception Summary

Strengths

High brand resonance with budget-conscious startup founders and infrastructure cost-optimizers looking for specific Llama model deployment.
Strong positioning within the Gemini platform for core technical queries regarding high-performance AI inference and model endpoints.
Effective brand-vibe consistency, achieving top-tier ranking when users query specifically for the Together AI company profile.

Visibility Gaps

Total absence in broader developer-led research, specifically regarding building custom AI agent stacks and setting up local development environments.
Underperformance in enterprise-trust queries where users are evaluating GPU cloud providers for long-term scalability and reliability.
Negligible footprint on platforms beyond Gemini, missing key opportunities to influence developers using ChatGPT and Claude.

Competitors in AI Recommendations

AWS: 24 mentions
RunPod: 22 mentions
vLLM: 21 mentions
CoreWeave: 20 mentions
Lambda Labs: 19 mentions
Azure: 18 mentions
NVIDIA: 16 mentions
GCP: 16 mentions
Vast.ai: 14 mentions
Groq: 11 mentions
GMI Cloud: 9 mentions
Modal: 9 mentions
SkyPilot: 9 mentions
Fireworks AI: 8 mentions
Ollama: 7 mentions

Categories: Information Technology / Cloud Computing

Tags: Startups

Businesses/Information Technology / Cloud Computing/Together AI

AI Visibility & Sentiment

Together AI

Active Monitoring

together.ai

Information Technology / Cloud Computing Startups

AI Visibility Score

12/100

Invisible

Sentiment Score

100/100

Score by Priority

core

adjacent

aspirational

visionary

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Together AI today.

Working in your favor

High brand resonance with budget-conscious startup founders and infrastructure cost-optimizers looking for specific Llama model deployment.

Strong positioning within the Gemini platform for core technical queries regarding high-performance AI inference and model endpoints.

Effective brand-vibe consistency, achieving top-tier ranking when users query specifically for the Together AI company profile.

Gaps to close

Total absence in broader developer-led research, specifically regarding building custom AI agent stacks and setting up local development environments.

Underperformance in enterprise-trust queries where users are evaluating GPU cloud providers for long-term scalability and reliability.

Negligible footprint on platforms beyond Gemini, missing key opportunities to influence developers using ChatGPT and Claude.

Opportunities

Establish thought leadership in the 'software stack for custom AI agents' conversation to move beyond just being a GPU provider.

Target high-intent technical documentation and developer tutorials to bridge the gap from aspirational 'best platform' lists to top-of-mind mentions.

Diversify visibility across diverse AI search ecosystems to capture developers who rely on Claude or ChatGPT for technical architectural advice.

Highest-Impact Actions

Develop comprehensive 'Developer How-To' technical content specifically addressing AI agent stacks and environment setup.

The data shows a complete lack of presence in development environment queries, which is where developers formulate their long-term infrastructure preferences.

Optimize technical collateral for Enterprise-grade trust and reliability signals.

Together AI is missing from 'trusted GPU cloud provider' discussions, currently losing significant enterprise share to incumbents like AWS and Azure.

Execute a platform-specific SEO strategy for ChatGPT and Claude ecosystems.

Currently, Together AI relies almost exclusively on Gemini; expanding into the broader AI-search market is critical to reaching developers who prefer conversational alternatives.

Value Proposition

Overview

Mission

To make open-source AI accessible, performant, and affordable for everyone—helping teams ship faster, scale reliably, and achieve superior unit economics.

Products & Services

Together InferenceTogether GPU ClustersTogether Fine-tuningDedicated Endpoints

Current State

Visibility Landscape

A high-level view of how Together AI 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	—
“What do you know about Together AI? What do they do and what's their reputation?”	—	—	#1	—
Core5q Product/service category queries	0	0	77	0
“what are the best platforms to run open source llms like llama 3 for low latency inference”	No	No	#3	No
“compare gpu cloud providers for fine-tuning open source models at scale”	—	—	#10	—
“i need a way to deploy llama models on dedicated endpoints that won't break the bank, what are my options”	—	—	#5	—
“what are the most trusted gpu cloud providers for enterprise ai development right now”	—	—	#9	—
“what are the best alternatives for high performance cloud gpu resources beyond the main big three cloud giants”	—	—	#11	—
Growth Areas4q Adjacent, aspirational & visionary	—	—	38	—
“what should i look for when choosing a cloud provider for gpu clusters to train llms”	—	—	No	—
“best tools for developers to integrate open source models into their backend applications”	—	—	#5	—
“what software stack do i need to build a custom ai agent platform that leverages open weights”	—	—	No	—
“how do i start setting up my own ai development environment if i want to stay away from closed models”	—	—	#13	—

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

—

“what are the best platforms to run open source llms like llama 3 for low latency inference”

“compare gpu cloud providers for fine-tuning open source models at scale”

—

#10

—

“i need a way to deploy llama models on dedicated endpoints that won't break the bank, what are my options”

—

“what are the most trusted gpu cloud providers for enterprise ai development right now”

—

“what are the best alternatives for high performance cloud gpu resources beyond the main big three cloud giants”

—

#11

—

“what should i look for when choosing a cloud provider for gpu clusters to train llms”

—

“best tools for developers to integrate open source models into their backend applications”

—

“what software stack do i need to build a custom ai agent platform that leverages open weights”

—

“how do i start setting up my own ai development environment if i want to stay away from closed models”

—

#13

—

Competitive Landscape

AWS

24 mentions

RunPod

22 mentions

vLLM

21 mentions

CoreWeave

20 mentions

Lambda Labs

19 mentions

Azure

18 mentions

NVIDIA

16 mentions

GCP

16 mentions

Vast.ai

14 mentions

Together AI

14 mentions

Groq

11 mentions

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

High brand resonance with budget-conscious startup founders and infrastructure cost-optimizers looking for specific Llama model deployment.

Strength

Strong positioning within the Gemini platform for core technical queries regarding high-performance AI inference and model endpoints.

Strength

Effective brand-vibe consistency, achieving top-tier ranking when users query specifically for the Together AI company profile.

Recommended Actions

Develop comprehensive 'Developer How-To' technical content specifically addressing AI agent stacks and environment setup.

The data shows a complete lack of presence in development environment queries, which is where developers formulate their long-term infrastructure preferences.

Optimize technical collateral for Enterprise-grade trust and reliability signals.

Together AI is missing from 'trusted GPU cloud provider' discussions, currently losing significant enterprise share to incumbents like AWS and Azure.

Execute a platform-specific SEO strategy for ChatGPT and Claude ecosystems.

Currently, Together AI relies almost exclusively on Gemini; expanding into the broader AI-search market is critical to reaching developers who prefer conversational alternatives.

Content Engineering

Content Ideas

Content designed to help AI agents learn about your category and recommend your brand.

Programmatic Testing

Sample Conversations

ChatGPT

Claude

Gemini

AI Overviews

Infrastructure For High Performance AI Inference(3 queries)

“what are the best platforms to run open source llms like llama 3 for low latency inference”

1/4 platforms mentioned

Core

ChatGPT

1.NVIDIA (TensorRT-LLM, Triton)

2.vLLM

3.Hugging Face (Inference Endpoints, Text-Generation-Inference)

4.llama.cpp

5.GGML

+11 more

Claude

1.vLLM

2.Hugging Face

3.NVIDIA (TensorRT-LLM)

4.SGLang

5.Ollama

+4 more

Gemini

1.Llama 3

2.Groq

3.Cerebras

4.Together AI (Together Kernel Collection)

5.Fireworks AI

+9 more

AI Overviews

1.Groq

2.SambaNova

3.SiliconFlow

4.NVIDIA

5.Fireworks AI

+6 more

“compare gpu cloud providers for fine-tuning open source models at scale”

0/1 platforms mentioned

Core

Gemini

1.AWS

2.Google Cloud

3.Azure

4.Amazon Web Services (SageMaker)

5.Google Cloud Platform

+9 more

“i need a way to deploy llama models on dedicated endpoints that won't break the bank, what are my options”

1/1 platforms mentioned

Core

Gemini

1.Llama

2.RunPod

3.Lambda Labs

4.Vast.ai

5.Together AI

+9 more

Source Intelligence

Citations

TensorRT LLM

github.com

Code1 ref

Vllm

github.com

Code1 ref

Tgi

huggingface.co

Web1 ref

Llama.Cpp

github.com

Code1 ref

Mii

deepspeed.ai

Web1 ref

Meta Llama3 Inference Acceleration

blogs.nvidia.com

Web1 ref

Gptqmodel

docs.vllm.ai

Web1 ref

Spec Decode

vllm.ai

Web1 ref

Llmsys 22 VLLM Woosuk Kwon 1f34697dbb1a1fb5b798daf6eff14b67.Pdf

llmsystem.github.io

Web1 ref

Benchmarking Llm Inference Backends

bentoml.com

Web1 ref

Self Hosting Llms In June 2025

heyferrante.com

Web1 ref

Text Generation Inference

github.com

Code1 ref

Llm Quantization

bentoml.com

Web1 ref

New AI Inference Speed Benchmark for Llama 3.3 70B, Powered by Groq | Groq is fast, low cost inference.

groq.com

Web1 ref

Top 5 Best LLM Models to Run Locally in CPU (2025 Edition)

kolosal.ai

Web1 ref

Brand Identity

Brand Voice & Style

How AI perceives Together AI's communication style and personality

Core Tone Traits

Research-Driven & Analytical

Deeply rooted in foundational systems research, prioritizing data, benchmarks, and technical performance.

Authoritative & Expert

Speaks with the confidence of an industry leader, focusing on 'AI Native' infrastructure and cutting-edge optimizations.

Direct & Functional

Clear, concise communication that respects the user's time, focusing on utility, cost-efficiency, and speed.

Empowering & Collaborative

Positions the platform as a partner in the user's development journey, emphasizing accessibility and open-source values.

Visual Identity

Primary

#EF2CC1

Secondary

#FC4C02

Accent

#CAAEF5

Background

#FFFFFF

Foreground

#111111

Backing

Investors

Kleiner Perkins

Engineer content that makes AI agents recommend you

Data generated by Pendium.ai AI visibility scanning. Last scanned March 22, 2026.

Together AI

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Start gettingrecommended by AI.

Frequently asked questions

Together AI

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

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.