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.

Businesses/Technology/Baseten

AI Visibility & Sentiment

Baseten

Baseten is a high-performance inference platform designed for deploying and scaling open-source and custom machine learning models in production. It provides developers with the infrastructure needed to serve models with low latency, featuring automatic scaling, dedicated GPU access, and a streamlined model packaging framework.

Active Monitoring

baseten.co

Technology

AI Visibility Score

27/100

Low

Sentiment Score

97/100

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 Baseten today.

AI agents universally recognize Baseten as a highly credible authority in managed inference and machine learning infrastructure, yet this internal brand trust has not yet translated into consistent recommendations for high-intent infrastructure discovery queries. The clear opportunity lies in bridging the gap between Baseten’s established reputation as a sophisticated production platform and the tactical decision-making journeys of users seeking the best solutions for scaling open-source models.

Value Proposition

Baseten provides the fastest and most reliable infrastructure for AI inference, offering a seamless path from model development to production-grade scaling with pay-as-you-go or dedicated GPU options.

Overview

Mission

To provide the fastest, most reliable inference platform for serving and scaling open-source and custom AI models.

Products & Services

Model Inference APITruss (Open-source model packaging)Dedicated GPU Instances (H100, A100, A10G)Serverless AutoscalingModel LibraryBaseten Inference StackDedicated Inference DeploymentsPre-optimized Model APIsBaseten ChainsBaseten Embeddings Inference (BEI)Baseten Delivery Network (BDN)

Current State

Visibility Landscape

A high-level view of how Baseten performs across AI platforms, broken down by strategic priority level — from core brand queries to growth opportunities.

	ChatGPT	Claude	Gemini	AI Overviews
Reputation Brand recognition & direct queries	24	36	33	24
Core Topics Product/service category queries	0	0	36	0
Growth Areas Adjacent, aspirational & visionary	—	—	—	—

ChatGPT

Claude

Gemini

AI Overviews

Reputation

Brand recognition & direct queries

Core Topics

Product/service category queries

Growth Areas

Adjacent, aspirational & visionary

—

Competitive Landscape

Together AI

54 mentions

RunPod

50 mentions

Modal

48 mentions

Fireworks AI

40 mentions

vLLM

39 mentions

Replicate

36 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Authoritative brand recall across ChatGPT, Claude, and Gemini when queried directly about product identity.

Strength

Strong performance in 'Migration and Scaling' queries where users specifically look for tools to scale open-source models.

Strength

Effective presence in 'serverless GPU' category discussions on Claude and Gemini.

Recommended Actions

Publish a 'Serverless Infrastructure Benchmarking Report: Baseten vs. Modal vs. Together AI'

Directly addresses the lack of appearance in infrastructure selection queries by providing the hard performance data that AI agents rely on to rank providers.

Develop a 'Zero-Downtime Migration' series for teams moving from OpenAI APIs to private Llama 3 infrastructure

High-intent migration queries are currently a gateway for competitors; authoritative content on this workflow directly targets users ready to adopt Baseten.

Create an 'Architecting for High-Traffic Inference' technical deep-dive series

Addresses the identified gap in 'reliable infrastructure' queries, positioning Baseten as the superior choice for production environments vs. experimental platforms.

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 Selection(5 queries)

“host our own ai models, what platforms are best”

0/4 platforms mentioned

Core

ChatGPT

1.CoreWeave

2.NVIDIA

3.Lambda Labs

4.AWS (SageMaker, EC2 P5, EKS, AWS GovCloud)

5.Google Cloud (Vertex AI, TPU v5e)

+12 more

Claude

1.Ollama

2.Open WebUI

3.LM Studio

4.AnythingLLM

5.vLLM

+12 more

Gemini

1.Modal

2.Replicate

3.Beam.cloud

4.RunPod

5.NVIDIA (NVIDIA Triton Inference Server)

+4 more

AI Overviews

No brands listed

“what are the best platforms for hosting ai models for Text and multimedia”

0/4 platforms mentioned

Core

ChatGPT

1.AWS Bedrock

2.Mistral

3.NVIDIA

4.MiniMax

5.Moonshot

+7 more

Claude

1.Hugging Face

2.Google Cloud Vertex AI

3.Azure AI Foundry

4.Replicate

5.OpenRouter

+3 more

Gemini

1.Hugging Face

2.Replicate

3.fal.ai

4.SiliconFlow

5.Runware

+7 more

AI Overviews

1.Llama

2.Stable Diffusion

“what are the best platforms for hosting llama 3 70b with the lowest latency”

0/4 platforms mentioned

Core

ChatGPT

1.Llama

2.Groq

3.Google Vertex AI

4.Google Cloud

5.SambaNova

+2 more

Claude

1.Cerebras

2.Groq (GroqCloud)

3.SambaNova

4.Google Vertex AI

5.Fireworks AI

+3 more

Gemini

1.Llama 3 70B

2.Llama 3.3 70B

3.NVIDIA (NVIDIA TensorRT-LLM)

4.Groq

5.Cerebras

+8 more

AI Overviews

No brands listed

“compare the fastest inference providers for open source llms in 2026”

0/4 platforms mentioned

Core

ChatGPT

1.Groq (Groq 3 LPU, Groq 3 LPX)

2.Llama 4 Scout

3.Qwen 3

4.Llama 3

5.Cerebras

+7 more

Claude

1.Cerebras

2.SambaNova

3.Groq

4.NVIDIA

5.Fireworks AI

+6 more

Gemini

1.Cerebras

2.Groq

3.SambaNova

4.Fireworks AI

5.Together AI

+6 more

AI Overviews

No brands listed

“best serverless gpu platforms for deploying custom machine learning models”

3/4 platforms mentioned

Core

ChatGPT

1.Modal

2.Runpod

3.Baseten

4.fal.ai

5.Google Cloud Run

+4 more

Claude

1.Modal

2.Python

3.RunPod Serverless (vLLM)

4.Hugging Face

5.PyTorch

10.Baseten (Truss)

+10 more

Gemini

1.Modal

2.Docker

3.RunPod

4.Baseten (Truss)

5.PyTorch

+10 more

AI Overviews

1.AWS

2.Azure

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.

Best Self-Hosted AI Tools You Can Actually Run in Your Home Lab - Virtualization Howto

virtualizationhowto.com

Web1 ref

8 Best Self-Hosted AI Agent Platforms for 2025 | Fastio

fast.io

Web1 ref

Self Hosting AIs for Research - AI Tools and Resources - LibGuides at University of South Florida Libraries

guides.lib.usf.edu

Edu1 ref

Self-host a local AI stack and access it from anywhere

tailscale.com

Web1 ref

Self-hosting AI models: Complete guide to privacy, control, and cost savings | Blog — Northflank

northflank.com

Web1 ref

Top 10 Self-Hosting Platforms to Run Your Solo AI Startup at Zero Cost in 2025

nucamp.co

Web1 ref

Self hosted AI: The most efficient and powerful models in 2025 | FDC Servers

fdcservers.net

Web1 ref

Best Self-Hosted AI Solutions (2026) | OpenClaw Guide

getopenclaw.ai

Web1 ref

Top 10 Self-Hosting Platforms to Run Your AI Startup at Zero Cost in 2025

nucamp.co

Web1 ref

Top 5 AI Model Hosting Platforms for Seamless Performance

azumo.com

Web1 ref

Aws Sagemaker Vs Google Vertex Ai Vs Azure Ml Cloud Ml Platform Reality 918c76059904

aws.plainenglish.io

Web1 ref

Top Ai Hosting Platforms

ergobite.com

Web1 ref

Ai Model Deployment Platforms

domo.com

Web1 ref

Open Source Ll Ms Hosting And Running Tools

tenupsoft.com

Web1 ref

Best Open Source Ai Platforms

greennode.ai

Web1 ref

Competitive Landscape

Brands and products that AI platforms mention alongside or instead of Baseten.

Together AI54 mentions

RunPod50 mentions

Modal48 mentions

Fireworks AI40 mentions

vLLM39 mentions

Replicate36 mentions

CoreWeave31 mentions

Lambda Labs29 mentions

Groq29 mentions

AWS29 mentions

Baseten24 mentions

Brand Identity

Brand Voice & Style

How AI perceives Baseten's communication style and personality

Baseten communicates with a high-performance, engineering-first mindset, positioning itself as a technical partner rather than just a vendor. The tone is direct, authoritative, and deeply focused on solving complex infrastructure challenges for developers and AI teams. It balances a sophisticated, research-backed technical depth with a practical, results-oriented approach that emphasizes speed, scale, and reliability.

Core Tone Traits

Technical & Authoritative

Uses precise terminology and focuses on performance metrics to establish credibility with engineers.

Results-Oriented

Prioritizes outcomes like 'fastest time to market,' 'ultra-low latency,' and 'high throughput' to demonstrate value.

Collaborative & Supportive

Positions the brand as a partner through 'forward deployed engineers' and hands-on support.

Direct & Actionable

Uses clear, concise language that drives users toward immediate action, such as deploying or talking to an engineer.

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 April 22, 2026.