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  3. OpenAI
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OrganizationMostly Positive

OpenAI

AI research company pioneering large language models and ChatGPT, with growing commercial success and transparency debates

San Francisco, California, USA www.openai.comai-technology Updated 2026-04-21T21:16:39.703Z
Updated 1h ago

Milo Visibility Score

AI narrative presence 0–100

85/100
Leading
weak
developing
established
strong
leading

Recommendation Presence

Sometimes Recommended

In AI recommendation outputs

Entity Profile

Entity Identity

Canonical slugopenai

Intelligence Profile

v2
84

Blended Entity Core Score

AI Research and Development Company

92
Clarity
88
Authority
72
Trust
94
Entity Graph
91
Topical Authority
89
Recommendation
85
Market Clarity
78
Machine Readability
95
Momentum
35
Reputation Safety

OpenAI is a leading artificial intelligence research and deployment company founded in 2015, best known for developing breakthrough generative AI models including GPT-4, ChatGPT, and DALL-E. Originally structured as a non-profit research organization, it transitioned to a hybrid model with a capped-…

Visibility Signals

Competitive Position

Peer Benchmark

Ranked #13 of 26

in ai-technology

Top 48% — Above average

Top peers

sundar pichaijensen huangopenstreetmap foundation

Sentiment Signal

Mostly Positive

AI outputs are largely positive, with occasional neutral or contextual framing.

Narrative Themes

AI research leadershipTechnical innovationSafety and ethics focusTransparency concernsCommercial transitionResource intensityGovernance challengesAGI development

Platform Breakdown

3/3 platforms
ChatGPT
Mentioned
PositiveSometimes Recommended

“OpenAI has generally been regarded as a reputable organization in the field of artificial intelligence with significant contributions to AI research and commitment to safety and ethical considerations.”

Gemini
Mentioned
NeutralNot Clearly Present

“Let's break down OpenAI, its operations, reputation, and online presence.”

Claude
Mentioned
MixedSometimes Recommended

“OpenAI's tools are valuable for many applications, but users should understand their limitations and potential biases.”

Sentiment Distribution

Positive40%
Neutral25%
Mixed30%
Negative5%

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