OpenAI is testing a new ChatGPT ad format that displays multiple advertisers inside a single sponsored placement, sold through a second-price auction, and is expanding ad targeting to five new markets: the UK, Japan, South Korea, Brazil, and Mexico. The changes, detailed in an update sent to advertisers and reported June 9, push ChatGPT a step closer to a full-fledged advertising platform and reshape the surface where a growing share of B2B buyers now research vendors.
What OpenAI changed in ChatGPT ads
Until now, sponsored placements in ChatGPT generally featured a single advertiser. Under the new test, ChatGPT can group several relevant advertisers within the same ad unit. OpenAI says eligible ads will be sold through a second-price auction, the model where the highest bidder wins but pays just above the next-highest bid, and that the test is currently limited to a small subset of ChatGPT ads. The stated goal is to improve product discovery for users while increasing opportunities for advertisers to reach high-intent audiences during research and purchase conversations.
New ChatGPT Ads Manager controls and five new markets
Alongside the format change, OpenAI added campaign-management features that make its Ads Manager resemble established platforms. Advertisers can now convert campaigns from lifetime to daily budgets, clone CPM campaigns into CPC campaigns with a single click, and set custom maximum CPM bids on impression-based campaigns. OpenAI also introduced bulk editing and said daily budgets will shift to an average daily budget model for more flexible weekly pacing. On targeting, the platform previously reached users in the US, Canada, Australia, and New Zealand; it now adds the UK, Japan, South Korea, Brazil, and Mexico.
Who reported the ChatGPT ads update
The update was reported by MarTech senior editor Constantine von Hoffman on June 9, 2026, and by Search Engine Land‘s Anu Adegbola on June 8, 2026, both citing an OpenAI advertiser update. As of publication, the multi-advertiser format remains a limited test rather than a general release.
Why ChatGPT ads matter for B2B marketing
The move lands as competition for AI-driven discovery traffic intensifies and as B2B buyers increasingly open their research inside conversational AI rather than a search results page. For most of the past year, the B2B marketing story has been about AI removing familiar surfaces: zero-click answers, shrinking organic discovery as AI search overtakes SEO, and AI assistants that summarize vendors without sending a visit. Regulators have begun weighing in on who controls that surface, as when the UK’s CMA ordered Google to let publishers opt out of AI search. A native ad system inside ChatGPT flips part of that story: it turns the AI research layer into inventory that can be bought. Multi-advertiser placements also let OpenAI expand ad supply without showing users dramatically more ads, while creating a more competitive auction that could shape pricing and performance over time. The same dynamic was visible at ANA Masters of B2B, where brand value increasingly tracks who owns the credible answer in a category.
Talking Shift: what ChatGPT ads mean for established B2B brands
Read through Start Some Shift’s Binary Buyer Thesis, this is the moment paid media enters the “Machine” layer of the B2B buying journey, the stage where an AI engine, not a human, first decides which vendors are credible enough to surface. That credibility judgment still happens first, and the sponsored slot appears beside it. Start Some Shift’s view: when ads enter the chat window, the AI research layer stops being neutral territory, and the brands that win are the ones already cited as the credible answer before the sponsored slot ever loads. For established B2B brands, the takeaway is that earned machine-credibility and paid placement are about to share the same screen, and the brands with the strongest organic citation footprint will pay less to be chosen and convert more when they are.
What B2B marketers should do about ChatGPT ads
This test is small today, but it changes how to plan for AI-assisted buying:
- Audit how your brand currently surfaces in ChatGPT answers for your category before paid placements alter the surface.
- Pressure-test whether sitting in a multi-advertiser slot beside three competitors helps you or commoditizes your category.
- Write ad creative for a crowded slot: assume your ad sits inside a tight ecosystem of competing advertisers, and give buyers a specific, differentiated reason to click yours over the others.
- Model second-price auction economics into 2026 media planning, and budget for ChatGPT ads as a real line item rather than spare-change experimentation.
- Prioritize earned AI visibility (citations, structured proof, machine-readable claims) so you remain the organic answer even beneath a sponsored slot.
- Localize assets and targeting if you sell in the UK, Japan, South Korea, Brazil, or Mexico, where targeting is now live.
- Brief finance and sales on a likely new line item before competitors set the clearing price in your category’s auction.
- Monitor whether paid placements erode buyer trust in AI answers, and reinforce owned channels accordingly.
What to watch next with ChatGPT advertising
Watch whether OpenAI scales the multi-advertiser format beyond its current small test and whether it introduces formal B2B targeting controls. Pricing signals from the second-price auction will reveal how competitive specific categories become. And the open question for every B2B marketer: does monetizing the chat window strengthen or weaken the trust that made AI research valuable in the first place?
