Field noteOct 21, 20261 min read1 source

How we built ChatGPT’s novel ad stack for user trust and relevance

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OpenAI has published an account of the advertising stack it says it built for ChatGPT.

What changed: Adds a technical account of OpenAI’s LLM-powered ad stack, including conversational-intent targeting, separation of ads from answers, and relevance at scale, beyond the earlier format and measurement announcement.

The company describes the system as LLM-powered and intended to interpret conversational intent when selecting ads.

According to the post, advertising is kept separate from ChatGPT answers rather than incorporated into the answer itself. OpenAI says the stack is designed to deliver ads it considers relevant at scale while preserving user trust. Its description centers on using conversational context to identify intent for ad selection, alongside a distinct ad-serving layer.

The publication is a company technical explainer, not a product specification or an independently audited result. It does not provide performance metrics, advertiser pricing, rollout dates, geographic availability, access requirements, targeting controls, or independent evidence that the stated trust and relevance goals are met. It also does not establish how the system performs across different conversations or user groups. Source: https://openai.com/index/building-chatgpt-ad-stack

Evidence / sources

  1. 1openai.com/index/building-chatgpt-ad-stack
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