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How ChatGPT serves ads

How ChatGPT serves ads. Here's the full attribution loop.

buchodi.com

April 28, 2026

3 min read

🔥🔥🔥🔥🔥

67/100

Summary

OpenAI's ad platform consists of a backend that injects structured single_advertiser_ad_unit objects into the ChatGPT conversation stream. A tracking SDK called OAIQ operates in the visitor's browser to report product views, linking the ad serving and tracking through Fernet-encrypted click tokens.

Key Takeaways

  • OpenAI's ad platform integrates a backend that injects structured ad units into ChatGPT's conversation stream while the model responds.
  • A tracking SDK called OAIQ runs in the user's browser to report product views back to OpenAI, linking ads and user interactions through Fernet-encrypted click tokens.
  • Ads delivered in ChatGPT are contextually targeted based on the conversation topic, with different advertisers appearing across various discussions.
  • Each ad includes four distinct Fernet-encrypted tokens for tracking and integrity checks, ensuring secure attribution and monitoring of user interactions.
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Coverage & discussions

Hacker News · buchodi.com

How ChatGPT serves ads ↗

Community discussions

Hacker News discussion ↗

Historical count: 5 · 5 saved in sample · Historical sample

Analysis ready

Community Sentiment

Negative

Positives

  • The introduction of ads in the free tier and new ad-supported plan could help sustain OpenAI's services while maintaining access for users who cannot afford subscriptions.
  • The revenue from ads on the free tier may justify its existence, potentially allowing OpenAI to continue offering valuable AI tools without significant cost to users.

Concerns

  • The shift towards ad-supported models raises concerns about the potential for adversarial content and the integrity of AI-generated responses.
  • Injecting ads into model outputs could breach user trust, leading to long-term detrimental effects on the perceived reliability of AI systems.
  • There is a fear that ads could become indistinguishable from actual content, undermining the quality of information provided by AI.

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