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Who sees ads in ChatGPT? The Free and Go tier question, with the numbers

Ads in ChatGPT reach Free and Go users only, never Plus, Pro or business plans. What that means for B2B and SaaS, and how to find out whether your buyer is in the pool.

By Yann BorieFounder, Serge7 min read

There's a 55-reply thread on r/PPC this month arguing about whether anyone worth advertising to is still in ChatGPT's ad pool, on the theory that people with money pay for Plus or Pro, paid users never see ads, and what's left is people who looked at ChatGPT and decided not to pay. Nobody in it had enough clean delivery to settle the question, which is roughly how it ended. The thread.

What OpenAI says

Both help center pages were updated in early September 2026.

  • Ads may appear for people on the Free and Go plans.
  • Plus, Pro, Business, Enterprise and Edu accounts don't see ads. OpenAI's Europe announcement says Plus, Pro and Enterprise "will remain ad-free".
  • Accounts identified as under 18 don't see ads; the model uses stated age, account age, typical times of use and similar signals.
  • Logged-out use can show ads too, but only all-audience ones; mature-content ads need an eligible logged-in user.
  • A Free user who'd rather not see ads can switch to Ads-Free and accept lower limits and fewer tools. It's a Free-plan option, so someone on Go would have to drop to Free to use it. Turning off personalization is a separate setting; the ads stay, they're just less tailored. Temporary Chats don't show ads.
  • Personalized ads aren't initially available in the EEA or Switzerland.
  • The ad is a labeled card under the response with the advertiser name, logo, title, copy, landing page and image. It doesn't change the answer, and advertisers don't see chats, history or memories.

Where people see ads, as far as I can piece together from OpenAI's pages and statements: the United States since 9 February; then Canada, Australia and New Zealand; the UK, Mexico, Brazil, Japan and South Korea by OpenAI's 11 August update; 31 European countries including Switzerland, announced 18 August; and India from 27 August, announced to the press (Business Standard and others); OpenAI's own pages mention India only for advertiser self-serve. The help center's "Ads Manager Availability" page is a different list, of where an advertiser's legal entity can be based, and it now covers the Middle East and North Africa as well. I read one as the other for a day before noticing the wording.

The argument

Google Search never offered an ad-free tier, so the same box serves everyone. ChatGPT built a paid tier that removes ads, and the people most willing to pay $20 a month for a tool skew towards people with money to spend, so what's left is price-sensitive, which is fine for a cheap consumer product and a problem for anything that needs purchasing power.

For B2B the version is sharper. Decision makers tend to use the company's Business or Enterprise account, because the company pays for it and, as one reply puts it, many companies now have a policy about which AI tool to use for work, so those people won't see your ad on a work question, and if they have a personal free account at all they're probably not discussing a procurement decision on it. I think this is the strongest point in the thread. A company-provisioned seat is ad-free and there's no targeting that reaches it.

Where I think it's wrong

Willingness to pay for an AI subscription and income aren't the same axis, as two replies point out with different examples: people who could afford Plus and stay on Free because they don't chat enough to hit limits, students paying for Plus to get through exam season, and the general observation that people with money tolerate ads on video, music and shopping services they could pay to remove.

The write-up by an advertiser in Latvia, in a separate thread, adds that free doesn't mean light. Plenty of heavy users have paid access at work and a free personal account at home, and use ChatGPT constantly at one and occasionally at the other, and a personal-account question about a course or a tool for a side project is exactly the conversation a consumer or prosumer product wants to be under.

On size, OpenAI says hundreds of millions of people use ChatGPT and hasn't published the paid share. A reply in the thread puts paid at around 5 percent, which I can't verify. Even a generous paid share leaves a very large free pool, and a narrow product doesn't need a representative sample of humanity in there, only enough of its own buyers.

What the thread is really about

Mostly it's about delivery. People describe accounts sitting in review with every campaign "Not serving", a verification field that had to be re-saved before anything would publish, reporting thinner than they're used to, and if half your test window was spent not serving you don't have an audience result to argue from. Our own account's brand review was still pending on 7 September (the separate account-integrity check had passed in the first week) and had cleared by the 17th; I didn't note the day it flipped, and I'd have liked that number for this paragraph.

The rest is relevance. A home-services marketplace PPC lead in another thread says their ads showed on conversations nowhere near the product and the clicks came from people researching, which is a hints-and-creative problem (context hints covers what you can change there) and would look identical whichever plan the clickers were on.

What I'd do

Run a capped test and write the stop rule before launch. Several of these steps come from the original poster and replies in the r/PPC thread on measuring the European expansion. This is the version I've written for Serge, with the budget still unset, so I can't give you our N.

The part that takes longest is deciding whether your buyer is plausibly in the pool at all, and it's worth doing slowly: who makes the decision, and where would they ask about it? A founder evaluating tools for a two-person company on a personal account is in. A procurement manager on a corporate seat isn't, and no test changes that. Where I landed for Serge is that our buyer is a founder who probably does have a personal free account and probably does ask ChatGPT things about distribution on it, but that's a guess.

Cap it with a campaign total budget rather than a daily one (daily is a seven-day average that can spend twice the amount on a single day), and remember pausing isn't instant, since OpenAI says ads can keep appearing for up to 24 hours after a pause with that spend billable, within the cap. Instrument before spending: pixel, static UTMs on the landing URL, no redirects, a click reference passed to your server if you have one (clicks vs GA4 sessions has the mechanics).

The number to watch is the one the argument is about. The claim is that free-tier users don't buy, so count qualified pipeline or activated trials from people you hadn't seen before, split new from returning, because if most conversions are returning visitors you're paying to catch people already in your funnel, as one reply in that measurement thread warns, and the pool question stays open. Platform conversions can't answer it on their own; OpenAI's own conversion total can include modeled and view-through conversions.

Then the stop rule, as one sentence with a number in it: cap spent, at least ten clean-serving days, fewer than N qualified new signups, stop. Whatever comes out is one product's result in one month of a beta, on a platform whose FAQ says there are no performance benchmarks across advertisers yet. If it's a self-serve product with a personal or prosumer buyer, I'd expect the tier restriction to be mostly noise and relevance to be the job; if it's sold into companies through a corporate buyer, the restriction is probably decisive and the test budget belongs wherever that buyer is. Most SaaS is somewhere in between, which is where we are.

Sources

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