How to See Which Ads Are Running in ChatGPT
Search any brand and see ads observed in ChatGPT, with creatives, advertiser details, positions, and observed dates.
Helping teams improve their brand presence in AI answers.
Paid placements are becoming part of AI search. A buyer can ask ChatGPT which tool to choose, then see a sponsored result next to the answer. The difficult part is that you only see the ads served in your own session, not a searchable view of the market.
The Free ChatGPT Ads Library from SupaIntent makes those observed placements searchable. Look up any advertiser, inspect the creative and landing page, then see where and when the ad appeared.
TL;DR: The Free ChatGPT Ads Library is a public database of ads observed in ChatGPT. Search by advertiser, ad copy, or domain. Each result shows the creative, copy, position, first and last observed dates, and appearance count. Use it to research competitors and spot sustained campaigns. For the prompts you track in your own project, SupaIntent Ads Radar adds prompt-level detail and category reporting.
There is no public market view inside the AI products
ChatGPT can show a sponsored placement below an answer, but the product does not give you a public archive of every advertiser, creative, or campaign.
That is why a searchable record matters. It turns isolated sightings into research you can repeat: who is active, which message they lead with, which page they send traffic to, and whether the ad returns over time.
What the Free ChatGPT Ads Library shows
Every result is an observed placement, not a measure of ad performance. The library records enough context to make a useful competitive judgment without pretending to know impressions, targeting, clicks, or spend.
| Field | What it tells you |
|---|---|
| Creative and headline | The visual and first claim competing for attention. |
| Ad copy | The message the advertiser is willing to pay to test. |
| Advertiser and landing-page domain | Who bought the placement and where the click goes. |
| Position | Where the ad was observed in ChatGPT. |
| First and last observed dates | How long the placement has remained visible in the collected sample. |
| Appearance count | Whether you are looking at a one-off sighting or a campaign that keeps returning. |
How to search the library in three steps
- Start with a competitor, a recognizable phrase from an ad, or the advertiser's landing-page domain.
- Search the library by advertiser, a recognizable phrase from an ad, or the advertiser's landing-page domain.
- Sort by most observed, then open the repeating ads first. Repetition is a useful signal that a campaign is still active in the observed sample.
Search is especially useful before you write a comparison page or plan a category campaign. It shows the claims buyers are likely to encounter after asking an AI product for a recommendation.
How to tell a test from a real campaign
One placement is a clue, not a conclusion. Check the first and last observed dates, then compare the appearance count with the creative and landing page. An ad that reappears with the same message over several observations is stronger evidence of an ongoing test than one isolated card.
The filters make that comparison quick. Narrow to one advertiser, a domain, an observed date range, or an ad position, then sort the remaining results by observation count.
Why appearance count matters
Repeated observations are a useful signal that a campaign is still active in the collected sample. Open the ads with the highest counts first, then compare their message, creative, and landing page.
When the free library is not enough
The library is the right starting point when you want a public market view: check a competitor, compare creatives, and see whether a campaign keeps returning. It is not tied to the prompts your own buyers use.
For that, use SupaIntent Ads Radar inside your project. It records paid placements on the prompts you track, lets you filter activity by prompt, engine, advertiser, and date, and shows ads per day, advertiser share of voice, and the top advertisers in your category.
Ads Radar is available on the Pro and Custom plans. Start a 7-day free trial when you need prompt-level evidence for the questions your buyers actually ask.
What the library does not show
The dataset does not report spend, impressions, targeting, click-through rate, conversions, or campaign performance. An appearance count is simply the number of recorded observations. It is useful for separating a recurring campaign from a single sighting, but it is not a proxy for budget or reach.
That boundary is important. The library is for competitive research, not media-buying attribution.
FAQ
Does ChatGPT show ads?
Yes. Eligible ChatGPT users can see sponsored placements below an answer. They are clearly labeled and separate from the model response.
Is there a ChatGPT ads library?
OpenAI does not offer a public, searchable repository. The Free ChatGPT Ads Library from SupaIntent collects ads observed in ChatGPT, with advertiser, creative, position, and observed dates.
Is the Free ChatGPT Ads Library free?
Yes. The library is public and free to use. No account is required to search ads observed in ChatGPT.
Can I see how much a competitor spends?
No. The library does not include advertiser spend data. Appearance counts show how often an ad was observed, which is a narrower signal.
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