Top cited domain
share of answers citing the domain18.3%−6.7 pts
Live chart · updates with every published snapshot
OpenAI answer share in AI model recommendations
The percentage of AI-generated answers to model and API buying questions that recommend or cite OpenAI, measured across a neutral public prompt corpus.
share of recommendation answers52.8%+5.6 pts
Behind the number
Where this sits in the field
- OpenAI52.8%
- Anthropic36.1%
- Google Gemini33.3%
- Hugging Face30.6%
- Fireworks AI27.8%
- Together AI25.0%
- Mistral AI22.2%
- OpenRouter16.7%
- Microsoft Azure AI13.9%
- Groq13.9%
- Cohere11.1%
- DeepSeek8.3%
The board in rank order, with the tracked subject of this chart highlighted. Showing the top 12 of 16 ranked entries.
| Rank | Entry | share of recommendation answers |
|---|---|---|
| 1 | OpenAI | 52.8% |
| 2 | Anthropic | 36.1% |
| 3 | Google Gemini | 33.3% |
| 4 | Hugging Face | 30.6% |
| 5 | Fireworks AI | 27.8% |
| 6 | Together AI | 25.0% |
| 7 | Mistral AI | 22.2% |
| 8 | OpenRouter | 16.7% |
| 9 | Microsoft Azure AI | 13.9% |
| 10 | Groq | 13.9% |
| 11 | Cohere | 11.1% |
| 12 | DeepSeek | 8.3% |
Over time
How the number has moved
View chart data
| As of | share of recommendation answers |
|---|---|
| Sep 10, 00:00 UTC | 52.8% |
| Aug 2, 00:00 UTC | 47.2% |
| Jul 27, 13:26 UTC | 63.9% |
| Jul 27, 05:50 UTC | 63.9% |
| Jul 27, 00:00 UTC | 63.9% |
About this metric
Answer share measures how often one brand appears when AI assistants answer commercial questions about model and API providers. Rank.ai runs a fixed, neutral corpus of buying-intent prompts through multiple configured model families and records which brands each answer recommends or cites. This page tracks OpenAI, the most watched brand in that corpus.
The number is the percentage of successful benchmark answers that mention or cite the brand in a recommendation context. Prompts are identical across engines, answers are parsed with a published methodology, and each snapshot is scored from the raw answer set rather than sampled impressions. Missing evidence is treated as unknown, never as a zero.
Answer share is the closest public equivalent of search market share for the AI answer layer. When assistants converge on one provider, that provider compounds distribution without paying for it, and every competing brand's discovery funnel narrows. Movements in this line usually lead product launch coverage and developer sentiment by weeks.
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