How we capture ChatGPT ads
ChatGPT Ads Library is a public record of the sponsored ads that appear inside ChatGPT. This page explains exactly how the data is collected, what each number means, and where the limits are.
As of the latest capture, the library holds 9,046 unique ad creatives from 2,737 advertisers across 92,091 placements in 109 niches.
How the data is captured
We probe ChatGPT with realistic consumer prompts drawn from ~100 prompts per niche — the kinds of questions real people ask when researching a purchase. When ChatGPT returns a sponsored card, we record three things: the creative (image + copy), the advertiser, and the exact prompt that triggered it. Probing runs continuously, so the library reflects the live surface rather than a one-time snapshot.
Provenance
Every capture stores the raw response it came from, with a timestamp. That means each datapoint in the library is backed by evidence — the ad, where it appeared, and when — rather than an unverifiable claim. This is the trust model the ad-intelligence category has largely lacked.
What the numbers mean
Counts describe our captured sample, not OpenAI's internal data. A "placement" is one observation of an ad on a prompt; an "advertiser" is a distinct brand we've seen running ads; a "creative" is a unique ad. Share-of-voice figures are computed over the placements we captured. We don't measure ad spend — advertiser presence and prompt coverage are a proxy for where budgets are going.
Limitations
Our sample is a subset of everything running inside ChatGPT — coverage is deepest in the niches we probe most. The ad surface changes frequently (new formats, verticals, and geographies), so figures move over time. We publish these caveats openly because an honest sample is more useful than an overstated one.
Explore the live ad library or the market intelligence built on top of it.