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Technical breakdown of OpenAI's ChatGPT advertising platform and attribution system

By

Buchodi

1mo ago· 3 min readenInsight

Summary

This article provides a technical deep-dive into how OpenAI's advertising platform works within ChatGPT. It describes the two-sided architecture: on the ChatGPT side, ad units are injected into the SSE (Server-Sent Events) stream during model responses, and on the merchant side, a tracking SDK called OAIQ reports product views back to OpenAI. The system uses Fernet-encrypted click tokens (four per ad) to link the two sides together. The author captured this traffic using a consented mobile-traffic research fleet, presenting observed data on how the full attribution loop operates.

Key quotes

· 5 pulled
OpenAI's ad platform has two halves.
On the ChatGPT side, the backend injects structured single_advertiser_ad_unit objects into the conversation SSE stream while the model is responding.
On the merchant side, a tracking SDK called OAIQ runs in the visitor's browser and reports product views back to OpenAI.
The two are tied together by Fernet-encrypted click tokens, four of them per ad.
I captured both halves on a consented mobile-traffic research fleet.
Snippet from the RSS feed
OpenAI's ad platform has two halves. On the ChatGPT side, the backend injects structured single_advertiser_ad_unit objects into the conversation SSE stream while the model is responding. On the merchant side, a tracking SDK called OAIQ runs in the visitor

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