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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 answers63.9%
60.1%63.9%67.7%71.6%Jul 27, 00:00 UTCJul 27, 05:50 UTCJul 27, 13:26 UTC
History accumulates with each published snapshot.
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share of recommendation answers by publication
As ofshare of recommendation answers
Jul 27, 13:26 UTC63.9%
Jul 27, 05:50 UTC63.9%
Jul 27, 00:00 UTC63.9%

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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