A lot has changed regarding ChatGPT Ads over the last year. Sam Altman originally called the concept of running ads a ‘last resort’, stating in a podcast interview that he ‘kind of hates ads.’ CFO Sarah Friar echoed this in 2024, saying there were ‘no active plans’ for an advertising product.
Despite this, in April 2025, leaked internal OpenAI documents showed the company projecting approximately $1 billion in new revenue from ‘free user monetisation’ in 2026 alone, growing to nearly $25 billion by 2029. By mid-2025, OpenAI had begun active hiring for campaign management tools, attribution pipelines, and a self-serve ad platform.
By late 2025, Altman acknowledged that ChatGPT would likely try advertising, suggesting that a ‘cool’ model benefiting users was possible, and pointed to Instagram’s ad product as something that had changed his thinking. In February 2026, OpenAI formally began testing ads and the platform has evolved rapidly since.
The Timeline
(Dates supplied from Search Engine Land articles)
How ChatGPT Ads Work
ChatGPT advertising sits closer to search than social in one important respect: the user is actively doing something. They are asking a question, researching a purchase, comparing options, or seeking a recommendation.
Traditional search advertising captures intent at the keyword level. A user types "Google Ads agency" and an advertiser bids on that exact phrase. Instead of keywords, ChatGPT asks advertisers to provide what OpenAI calls 'context hints' which are descriptions of the types of conversations, topics, or situations where their product or service might be relevant. The system then uses those hints, alongside the ad copy and landing page, to decide when to show an ad within a relevant conversation.
In theory, this should be more powerful than keyword targeting. The richness of conversational context means the matching potential is genuinely higher than a keyword string. In practice, however, there is no established methodology for writing context hints, no quality score equivalent, no feedback on whether your hints are matching well or poorly, and no visibility into which conversations your ads are actually appearing in.
Willis Annison, Digital Performance Director at Bountiful Cow, put it plainly: "It doesn't feel super-focused on the bottom of the funnel like search would. It's closer to programmatic, you're giving contextual hints rather than bidding on specific keywords." (https://www.thecurrent.com/marketing/marketing-strategy-ai-british-media-buyers-preparing-chatgpt-ads)
Ad Placement and Audience
Ads appear at the bottom of a ChatGPT response, clearly labelled as sponsored and visually separated from the AI's answer. They do not appear inside the response itself, and advertisers have no ability to influence what ChatGPT says before the ad is shown.
Ads are only shown to users on the free and Go subscription tiers. This means the platform is inherently reaching a more cost-conscious, likely younger, and less professionally established audience than the full ChatGPT user base. For consumer brands, e-commerce, and businesses targeting a broad general audience, this may be perfectly viable. For B2B advertisers trying to reach senior decision-makers who are more likely to hold a paid subscription, you may not be able to reach the audience you want.

(source: https://help.openai.com/en/articles/20001047-ads-in-chatgpt)
Limitations
Several meaningful restrictions shape what advertisers can currently do on the platform, and UK buyers should go in with eyes open.
Reporting is extremely limited. Advertisers currently see impressions, clicks, spend, CTR, average CPC, and average CPM broken down by day. There is no audience insight, no placement data, no demographic breakdown, and no visibility into which conversation types triggered your ad or what ChatGPT said before it appeared. There is currently no way to understand why an ad performed the way it did, or how to improve it.
No brand safety controls. Advertisers cannot specify keyword exclusions, placement lists, or content category controls. OpenAI does exclude certain sensitive topics: health, mental health, and politics from ad placements, but beyond those defaults, advertisers are trusting OpenAI to show their ads in appropriate contexts. For brands with strict brand safety requirements, this lack of verification tools will be a barrier.
No conversion bidding yet. Conversion tracking is available, but the ability to bid toward conversion goals is said to be an upcoming functionality. Until that functionality is fully live and proven, the platform remains more suited to brand awareness and driving clicks over conversions.
No demographic or audience targeting. Unlike Google and Meta, there is no ability to target by age, gender, industry, job title, or any other audience attribute.
CTR appears fixed. Live testing has consistently shown a click-through rate of approximately 1% regardless of creative or targeting variations. If this holds, it suggests that at this stage the platform offers limited scope for creative optimisation. The system appears to be delivering a relatively uniform outcome regardless of what advertisers do.
No benchmark data. OpenAI itself acknowledges in its own documentation that the platform has no published performance benchmarks across advertisers, industries, or campaign types. There is no way to know whether your results are good, bad, or average relative to others in your sector.
Ads in the UK
OpenAI confirmed the UK rollout in May 2026, announcing that mid-conversation ad recommendations would arrive ‘in the coming weeks.’
Jellyfish, the global digital agency with operations on both sides of the Atlantic, has been among the early US testers and is now bringing that experience to UK clients. Their chief solutions officer for media activation, Jai Amin, has described the early results as broadly positive with some important caveats. (source: https://www.thecurrent.com/marketing/marketing-strategy-ai-british-media-buyers-preparing-chatgpt-ads)
The initial US pilot required a commitment of roughly $250,000 to $300,000 with premium CPMs around $60. In practice, CPMs came in closer to $30, and Jellyfish reports early conversions and high order values. However, Amin is clear that these early campaigns required clients to ‘take a bit of a leap of faith,’ treating the channel as brand awareness rather than a direct response vehicle to be judged against normal performance metrics.
For UK advertisers, Amin expects a similar rollout with at least three to four UK advertisers to participate in the initial wave, with a rough baseline commitment of around $100,000 over three months before the platform becomes self-serve.
What We Think
ChatGPT advertising is moving fast. The platform that launched in February 2026 as an invitation-only beta with six-figure spend commitments looks meaningfully different just a few months later. Many of the limitations outlined above are the limitations of a platform in its earliest stages, not necessarily the limitations of the platform it will become. We expect audience targeting, reporting depth, brand safety controls, and optimisation tooling to improve considerably over the course of 2026 and into 2027, and we will be keeping a close eye on developments as they happen.
That said, advertisers coming to this channel should do so with realistic expectations. Anyone treating this like a mature performance channel right now will likely be disappointed. What it does offer, for the right advertiser, is genuine first-mover opportunity. If you have a dedicated test budget and if your audience broadly fits the free-tier user base: consumer-facing brands, e-commerce, businesses targeting a broad or younger demographic, then there is a strong case for getting in early.
As for us, we will absolutely be exploring ChatGPT ads as the UK rollout takes shape. We will be testing, learning, and sharing what we find and when the platform is ready to support meaningful client activity, we will be ready too. Watch this space.