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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Together AI

Visibility41

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

41/100

Moderate

Sentiment Score

100/100

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

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.

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

Agent Breakdown

AI Platforms

How often do different AI platforms reference Together AI?

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Conversation Analysis

Key Topics

What conversations is Together AI included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend Together AI 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

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

Brand Perception

What AI Really Thinks

We asked each AI platform directly about Together AI 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.

1Positive

0Neutral

0Negative

across 1 responses

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

Gemini

Positive

“…Together AI is an AI-native cloud platform (often called the "AI Acceleration Cloud") that provides infrastructure and software tools for the entire lifecycle of generative AI.…”

Analysis

Key Insights

What AI visibility analysis reveals about this brand

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.

Technical Health

Site Health for AI Visibility

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

92/100

19 passed 3 warnings

Audited 3/22/2026

Crawlability100

Can AI bots find your pages?

Technical96

SSL, mobile, doctype basics

On-Page SEO93

Titles, descriptions, headings

Content Quality73

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG100

Open Graph, Twitter cards

AI Readability60

How well AI can parse your content

Warnings

3 render-blocking resource(s) detected

Consider deferring or async-loading non-critical scripts and stylesheets.

Title is too short (22 characters)

Expand the title to 50-60 characters with descriptive keywords.

Content may be too short

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

Want a full technical audit with AI-specific recommendations?

Run a free visibility scan

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.

Competitive Landscape

Related Ecosystem

Related products and services that AI mentions in conversations alongside or instead of Together AI

AWS24 mentions

RunPod22 mentions

vLLM21 mentions

CoreWeave20 mentions

Lambda Labs19 mentions

Azure18 mentions

NVIDIA16 mentions

GCP16 mentions

Vast.ai14 mentions

Together AI14 mentions

Groq11 mentions

Source Intelligence

Citations

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

github.com

https://github.com/NVIDIA/TensorRT-LLM

Referenced in 1 query

Pitch Story

github.com

https://github.com/vllm-project/vllm

Referenced in 1 query

Pitch Story

huggingface.co

https://huggingface.co/docs/inference-endpoints/en/engines/tgi

Referenced in 1 query

Review

github.com

https://github.com/ggml-org/llama.cpp

Referenced in 1 query

Pitch Story

deepspeed.ai

https://www.deepspeed.ai/2022/10/10/mii.html

Referenced in 1 query

Review

blogs.nvidia.com

https://blogs.nvidia.com/blog/meta-llama3-inference-acceleration/

Referenced in 1 query

Review

docs.vllm.ai

https://docs.vllm.ai/en/v0.12.0/features/quantization/gptqmodel.html

Referenced in 1 query

Review

vllm.ai

https://vllm.ai/blog/spec-decode

Referenced in 1 query

Review

llmsystem.github.io

https://llmsystem.github.io/llmsystem2025spring/assets/files/llmsys-22-vLLM_woosuk_kwon-1f34697dbb1a1fb5b798daf6eff14b67.pdf

Referenced in 1 query

Pitch Story

bentoml.com

https://www.bentoml.com/blog/benchmarking-llm-inference-backends

Referenced in 1 query

Review

heyferrante.com

https://www.heyferrante.com/self-hosting-llms-in-june-2025

Referenced in 1 query

Review

github.com

https://github.com/huggingface/text-generation-inference

Referenced in 1 query

Pitch Story

Content Engineering

Goals & Content Ideas

Ideas to help AI agents better understand the business and be more likely to use Together AI's resources to help users.

Establish Authority in AI Agent Infrastructure and Environment Setup

This goal addresses the lack of visibility in developer environment queries by providing authoritative technical documentation that AI agents can cite as ground truth. By detailing the specific configuration of agentic stacks, we position Together AI as the essential infrastructure layer for the next generation of AI developers.

How to configure a low-latency environment for autonomous AI agents using Together Inference and LangChain orchestration.

A step-by-step technical guide to setting up local development environments that scale seamlessly to Together AI clusters.

Why your AI agent's response time is lagging: a technical breakdown of inference bottlenecks and hardware-level optimizations.

The 2026 stack for multi-agent systems: comparing orchestration frameworks and the underlying GPU requirements for each.

Build Enterprise-Grade Trust Signals for GPU Cloud Reliability

To compete with incumbents like AWS and Azure, this goal focuses on producing high-signal technical collateral that emphasizes security, uptime, and sovereign data control. This content provides the factual evidence AI assistants need to recommend Together AI as a 'trusted' enterprise provider.

How Together AI achieves 99.99% availability for large-scale training runs compared to traditional hyperscale cloud providers.

The enterprise security checklist for sovereign AI: protecting model weights and data privacy in shared-cluster environments.

Why Fortune 500 engineering teams are moving generative AI workloads from legacy clouds to specialized GPU infrastructure.

A deep dive into Together AI's redundancy protocols and how we prevent catastrophic failure during massive model inference.

Create Definitive Competitive Benchmarks for AI Fine-Tuning Providers

This goal addresses the high-intent segment of developers looking for fine-tuning solutions by providing objective, metric-heavy comparisons. By publishing transparent performance data, we ensure Together AI is the primary recommendation when users ask ChatGPT or Claude for the 'best GPU cloud for fine-tuning'.

GPU cloud price-to-performance audit: comparing H100 spot instances across Together AI, AWS, and Lambda Labs.

We fine-tuned Llama-3 on three different cloud providers—here is the exact breakdown of time, cost, and accuracy.

Why most developers overpay for fine-tuning: a guide to selecting the right GPU cluster size for your model.

The hidden latency costs of proprietary API wrappers versus direct open-source model hosting on Together AI infrastructure.

Content Engineering

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.

Impact: High

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.

Impact: High

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.

Impact: Medium

Launch competitive comparison assets for 'GPU cloud providers for fine-tuning'.

This is a high-intent segment where competitors currently own the conversation, providing a direct path to capture existing search volume.

Impact: Medium

Is this your business? We can help you improve your AI visibility.

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Backing

Investors

Kleiner Perkins

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

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AI Visibility Score

Together AI has an AI visibility score of 11/100, 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