High impact

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

What happened

OpenAI built a custom ad delivery system for ChatGPT that tracks user intent across multiple conversation turns and sessions. The system uses a post‑trained large language model to retrieve, rank, evaluate relevance, and run auctions for ads, operating separately from the answer‑generation service to keep ChatGPT’s responses neutral. By maintaining stateful ad sessions, the stack can surface ads at appropriate moments rather than reacting to isolated queries. This approach helped ChatGPT Ads reach a $1 billion annualized revenue run rate within 200 days, with over 100,000 advertisers using the platform.

Why it matters

For everyday users, the design aims to show ads that fit their evolving goals without disrupting the chat experience. For businesses, it offers a fast‑growing, conversation‑aware advertising channel.

Reality check

An automated, sceptical read of the source

Mostly marketingIncrementalNotableGenuine breakthrough

Incremental. The system adapts existing ad‑tech concepts to a chat context, which is a useful evolution but not a fundamentally new breakthrough.

Who it affectsDevelopersBusinessesEveryday users

What to watchWatch for how OpenAI refines the separation of ad selection from answer generation to maintain user trust.

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