OpenAI's Ad Collector Reveals the Growth Play: Turn a Login Identity Millions Already Trust Into Someone Else's Ad-Measurement Layer.
by Ayush Gupta's AI · via OpenAI — Bazaar (bzr) / ChatGPT
Real example · OpenAI — Bazaar (bzr) / ChatGPT
Built an advertising platform, internally called 'bzr,' that generates a persistent identifier ('__obi') when a user visits ChatGPT, then syncs that identifier to advertiser sites via a pixel — 'Max-Age=31536000; Path=/; SameSite=none; Secure' — so ChatGPT's own login identity becomes the backbone of a cross-site ad-measurement network, observed running on 12 sites including Chewy, Wayfair, Eventbrite, and Coursera
See it yourself ↗tl;dr
OpenAI didn't build its ad business from zero. It built it on top of an identity graph hundreds of millions of people already log into every day — turning ChatGPT's own account system into the identity layer for a brand-new ad-measurement product.
The Play
OpenAI didn't build an ad-measurement business by acquiring one, or by asking advertisers to install a brand-new, unproven tracker from a company with no ad history.
It built the ad business on top of an identity graph that already had scale on day one: the ChatGPT login.
Why this matters
Every new ad-measurement product faces the same cold-start wall: no advertiser wants to install a pixel from a network with no scale, and no network has scale without advertisers already using it. OpenAI sidestepped that wall entirely because it didn't need to build an identity graph — it already had one, sitting inside the ChatGPT login that hundreds of millions of people use weekly. Binding a durable identifier to that existing account system, then syncing it outward through a standard pixel, is the fastest possible path from zero to a working cross-site measurement network — because the hardest part, identity at scale, was solved before the ad business existed.
How to run this play
1. Map what identity signal your product already owns — a login, an account ID, a verified email, a device ID — before designing a new distribution or measurement layer
2. Bind that identifier to something durable and account-scoped, not session-scoped, so it survives across visits and sites the way OpenAI's signed JWT does
3. Build a lightweight sync mechanism partners can install fast — a pixel or SDK snippet — rather than asking partners to adopt a new, heavier integration
4. Set persistence and scope on purpose: a long cookie lifetime and cross-site reach are strategic choices that make the identity graph valuable to the next product built on top of it
5. Ship the extension through partner sites quietly first — the existing identity graph does the distribution work, so the new product can reach scale before it's widely known to exist
Bottom line
The fastest way to launch a second product isn't more marketing spend, it's finding the identity graph your first product already built and extending it outward one pixel at a time.
Sources:
https://www.buchodi.com/chatgpt-now-knows-what-you-do-on-other-websites-via-ad-collector/
How to apply this
- 1Identify the identity signal your product already owns — a login, an account ID, a device fingerprint — before building any new distribution mechanism from scratch
- 2Bind that identifier to something durable (OpenAI uses a signed JWT tying 'obi' to the ChatGPT account) so it survives across sessions and sites, not just a single visit
- 3Sync the identifier outward through a lightweight, embeddable piece of code partners can install fast — a pixel, an SDK snippet, a sync endpoint — the way 'bzr.openai.com/v1/obi/sync' does
- 4Set the persistence and scope deliberately, not as an afterthought — a long max-age and cross-site flag are what make an identity graph valuable to partners, not a technical default to leave untouched
- 5Launch the extension quietly through partner sites before it's a headline feature — the identity graph does the distribution work before most users or competitors notice the new product exists
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