AI VISIBILITY REPORT

Baseten

Complete AI search performance analysis

30 prompts · 3 platforms · 90 responses

Mention Rate

named in 6 of 90 answers

needs work

About Baseten

Baseten

Baseten is an AI inference platform that helps teams deploy, serve, scale, and optimize open-source, custom, and fine-tuned models in production. It supports cloud, self-hosted, and hybrid deployments and emphasizes low latency, high throughput, autoscaling, reliability, and enterprise security controls.

Category: AI inference platformSegment: AI/ML engineersKey rival: Fireworks AI

Scorecard

Across all 90 AI answers

Visibility Score

0–100 · how often & how high you appear

Mention rate ÷ average rank (0–100). Higher when AI names you often and near the top.

Share of Voice

3.7%

your share vs competitors

Your share of the AI conversation, compared to competitors

Average Rank

#2.5

your position when you appear

Your typical position in AI recommendations

Visibility Distribution

Where you land across 90 answers — 30 prompts × 3 platforms

93%

Top pick #1 · 2 runs

Recommended #2–3 · 2 runs

Mentioned #4+ · 2 runs

Missing Not mentioned · 84 runs

Platform Performance

How your brand shows up on each AI platform — 30 prompts each

ChatGPT

0/30 responses mention you

Google AI Overviews

10%

Avg rank #2.7

3/30 responses mention you

Perplexity

10%

Avg rank #2.3

3/30 responses mention you

Competitive
Landscape

How you compare against competitors
in AI visibility

4%YOUR SHARE

share of voice

vLLM8.9%

Together AI5.1%

RunPod4.0%

Baseten3.7%

AWS SageMaker3.5%

Google Vertex AI3.3%

OpenAI3.3%

Google Cloud Vertex AI2.8%

Other65.4%

Prompt-Level Detail

Every prompt we ran, tagged by type, with who showed up alongside you

All Prompts

● = platforms that mentioned you (of 3)30 prompts

Prompt

Type

Competitors

Platforms

Avg Rank

How do leading AI inference platforms compare for serving custom and fine-tuned models at scale?

Comparisons

1st

What is the best AI platform for serving production workloads with 99.99% uptime expectations?

Recommendations

—

1st

What is the best platform for deploying fine-tuned models with strict uptime requirements?

Recommendations

2nd

What is the best AI inference platform for a production GenAI app that needs low latency, autoscaling, and enterprise security?

Recommendations

4th

What is the difference between model APIs and custom model deployments?

Educational

—

4th

What should I look for in an inference platform if I need fast cold starts and high throughput?

Educational

—

Which model serving platform is best for teams moving from prototype to production?

Recommendations

—

How do managed inference platforms differ from self-hosted deployments for enterprise AI workloads?

Comparisons

—

What is the most cost-efficient way to run high-traffic model inference in production?

Problem-solving

—

What are the main tradeoffs between dedicated inference and serverless inference for LLM apps?

Comparisons

—

How can I reduce latency when serving open-source models in production?

Problem-solving

—

How do I choose an AI deployment platform for a healthcare use case with compliance requirements?

Buying intent

—

What are the key features of a production-grade model serving platform?

Educational

—

How do inference platforms handle autoscaling during traffic spikes?

Educational

—

What is the best infrastructure for hosting custom AI models in a VPC?

Recommendations

—

How do teams benchmark latency, throughput, and reliability in model serving platforms?

Educational

—

What is the difference between an AI inference platform and a general GPU cloud?

Comparisons

—

How do I deploy embeddings at scale without managing GPU infrastructure myself?

Problem-solving

—

What is the best platform for low-latency inference for voice agents and real-time AI?

Recommendations

—

What questions should I ask before buying an enterprise model serving platform?

Buying intent

—

How do AI platforms support hybrid deployments across my cloud and the vendor cloud?

Educational

—

What is the best way to serve open-source LLMs with predictable performance in production?

Recommendations

—

How do I compare inference platforms on cold start time and request throughput?

Comparisons

—

What are the best options for teams that need hands-on engineering support for model deployment?

Recommendations

—

How do I move a custom model from training to production inference on the same stack?

Problem-solving

—

How do I evaluate whether an inference platform is secure enough for enterprise data?

Buying intent

—

How can I improve GPU utilization for production inference workloads?

Problem-solving

—

What is the best platform for deploying multimodal AI apps with text, image, and audio workloads?

Recommendations

—

How do enterprise AI teams decide between single-tenant and shared inference infrastructure?

Comparisons

—

What are the most important pricing metrics for AI inference platforms?

Educational

—

How do leading AI inference platforms compare for serving custom and fine-tuned models at scale?

Type

Comparisons

Avg Rank

1st

Platforms

Competitors

What is the best AI platform for serving production workloads with 99.99% uptime expectations?

Type

Recommendations

Avg Rank

1st

Platforms

Competitors

—

What is the best platform for deploying fine-tuned models with strict uptime requirements?

Type

Recommendations

Avg Rank

2nd

Platforms

Competitors

What is the best AI inference platform for a production GenAI app that needs low latency, autoscaling, and enterprise security?

Type

Recommendations

Avg Rank

4th

Platforms

Competitors

What is the difference between model APIs and custom model deployments?

Type

Educational

Avg Rank

4th

Platforms

Competitors

—

What should I look for in an inference platform if I need fast cold starts and high throughput?

Type

Educational

Avg Rank

—

Platforms

Competitors

Which model serving platform is best for teams moving from prototype to production?

Type

Recommendations

Avg Rank

—

Platforms

Competitors

How do managed inference platforms differ from self-hosted deployments for enterprise AI workloads?

Type

Comparisons

Avg Rank

—

Platforms

Competitors

—

What is the most cost-efficient way to run high-traffic model inference in production?

Type

Problem-solving

Avg Rank

—

Platforms

Competitors

—

#10

What are the main tradeoffs between dedicated inference and serverless inference for LLM apps?

Type

Comparisons

Avg Rank

—

Platforms

Competitors

—

#11

How can I reduce latency when serving open-source models in production?

Type

Problem-solving

Avg Rank

—

Platforms

Competitors

—

#12

How do I choose an AI deployment platform for a healthcare use case with compliance requirements?

Type

Buying intent

Avg Rank

—

Platforms

Competitors

—

#13

What are the key features of a production-grade model serving platform?

Type

Educational

Avg Rank

—

Platforms

Competitors

—

#14

How do inference platforms handle autoscaling during traffic spikes?

Type

Educational

Avg Rank

—

Platforms

Competitors

—

#15

What is the best infrastructure for hosting custom AI models in a VPC?

Type

Recommendations

Avg Rank

—

Platforms

Competitors

#16

How do teams benchmark latency, throughput, and reliability in model serving platforms?

Type

Educational

Avg Rank

—

Platforms

Competitors

#17

What is the difference between an AI inference platform and a general GPU cloud?

Type

Comparisons

Avg Rank

—

Platforms

Competitors

—

#18

How do I deploy embeddings at scale without managing GPU infrastructure myself?

Type

Problem-solving

Avg Rank

—

Platforms

Competitors

—

#19

What is the best platform for low-latency inference for voice agents and real-time AI?

Type

Recommendations

Avg Rank

—

Platforms

Competitors

#20

What questions should I ask before buying an enterprise model serving platform?

Type

Buying intent

Avg Rank

—

Platforms

Competitors

—

#21

How do AI platforms support hybrid deployments across my cloud and the vendor cloud?

Type

Educational

Avg Rank

—

Platforms

Competitors

#22

What is the best way to serve open-source LLMs with predictable performance in production?

Type

Recommendations

Avg Rank

—

Platforms

Competitors

#23

How do I compare inference platforms on cold start time and request throughput?

Type

Comparisons

Avg Rank

—

Platforms

Competitors

#24

What are the best options for teams that need hands-on engineering support for model deployment?

Type

Recommendations

Avg Rank

—

Platforms

Competitors

—

#25

How do I move a custom model from training to production inference on the same stack?

Type

Problem-solving

Avg Rank

—

Platforms

Competitors

#26

How do I evaluate whether an inference platform is secure enough for enterprise data?

Type

Buying intent

Avg Rank

—

Platforms

Competitors

—

#27

How can I improve GPU utilization for production inference workloads?

Type

Problem-solving

Avg Rank

—

Platforms

Competitors

—

#28

What is the best platform for deploying multimodal AI apps with text, image, and audio workloads?

Type

Recommendations

Avg Rank

—

Platforms

Competitors

#29

How do enterprise AI teams decide between single-tenant and shared inference infrastructure?

Type

Comparisons

Avg Rank

—

Platforms

Competitors

—

#30

What are the most important pricing metrics for AI inference platforms?

Type

Educational

Avg Rank

—

Platforms

Competitors

Citation Ecosystem

Understanding where AI models source information about your brand

Citation Breakdowncitations by source type

100%Third Party

Owned 0%

Competitor 0%

Third Party 100%

Not Cited 0%

Top Domainsthe sources AI cites most

youtube.com67

gmicloud.ai49

reddit.com32

medium.com29

linkedin.com19

Baseten

Mention Rate

Baseten

Scorecard

Visibility Score

Share of Voice

Average Rank

Visibility Distribution

Platform Performance

ChatGPT

Google AI Overviews

Perplexity

CompetitiveLandscape

Prompt-Level Detail

All Prompts

Citation Ecosystem

Competitive
Landscape