Written by Julien Ricciarelli-Bonnal
3 September 2026
The Essentials
Advertising is coming to ChatGPT, but OpenAI is drawing a clear line: advertisers cannot modify, rank or influence the answers produced by the model. Ads are generated by a separate system and may appear beneath a response, clearly identified as sponsored content. Yet their selection can depend on the context of the current conversation and, when ad personalisation is enabled, on broader signals from the user’s activity in ChatGPT. This creates a new question for both brands and users: can an advertisement influence the way we interpret an answer even if it had absolutely no influence on how that answer was generated?
Online advertising has accustomed us to a fairly simple distinction. An article may be surrounded by banners. A Google search can display sponsored results. A social network mixes organic posts with paid content, usually accompanied by a label that makes the difference visible.
ChatGPT introduces a different configuration. Advertising is not integrated into the answer itself, and OpenAI states that advertisers have no mechanism to influence what the model recommends. But an ad may appear immediately after a conversation in which the user has just asked for advice.
Imagine a simple request: “I’m looking for a laptop around €1,000 for travelling and video editing.” ChatGPT analyses the need, suggests criteria and perhaps a few models. Directly beneath that response, a clearly labelled sponsored card for Lenovo, Dell or another manufacturer appears.
The answer and the advertisement are technically independent. The more interesting question is whether they will always remain just as independent in the user’s mind.
OpenAI Is Drawing a Very Clear Line Between Answers and Advertising
On this point, the system OpenAI describes leaves little room for ambiguity. Its advertising infrastructure operates separately from the conversational model. An advertiser cannot pay to appear inside an answer, improve its position in a recommendation or modify what ChatGPT says about its product.
The advertisement itself appears beneath the end of a response and is intended to be visually distinct, with a clear sponsored label. Seeing an ad for a particular brand therefore does not mean that OpenAI endorses or recommends that company.
This separation matters. Traditional search advertising has long created close proximity between commercial content and the response to an intention, with sponsored links sometimes appearing before organic results. In ChatGPT, OpenAI is instead attempting to preserve a distinction between what the model considers relevant and what an advertiser pays to place in front of the user.
Privacy follows the same principle. Advertisers do not receive access to conversations, chat history, saved memories, names, email addresses or other personal information. OpenAI says the current system only provides advertisers with aggregated, non-identifying performance data such as impressions and clicks.
It would therefore be inaccurate to claim that brands can now buy recommendations inside ChatGPT. That is not the advertising product OpenAI is describing. But technical independence between the answer and the ad does not completely settle the broader question of influence.
Advertising Can Remain Separate From the Answer While Benefiting From Its Context
To understand what changes, it is important to look at how an ad can be selected.
The advertising system can take into account the context and intent of the current conversation, along with the content of the ad, its landing page and targeting parameters selected by the advertiser. When ad personalisation is enabled, broader signals from the user’s experience with ChatGPT may also contribute to the selection process.
Depending on the region and the settings chosen, those signals may include previous chats, memory or certain interactions with advertisements. OpenAI says this information remains inside ChatGPT for ad selection purposes and is not passed on to advertisers.
That technical distinction creates a particularly interesting marketing situation. The advertiser does not need to know the content of the conversation for its message to be placed next to an extremely precise intention.
A user may no longer simply have searched for “laptop”. They may have explained that they have a budget of €1,000, travel frequently, use specific editing software, care about battery life and are hesitating between several formats. The conversation provides a much richer understanding of intent than a single keyword.
The advertisement can therefore arrive after the need has already been expressed, refined and sometimes converted into explicit decision criteria. For advertisers, that proximity to intent could become extremely valuable. For users, it also makes the psychological boundary between advice and advertising much more interesting to observe.
What Is Separated by the Interface Is Not Necessarily Separated in Our Minds
Suppose ChatGPT recommends three brands and a fourth appears immediately underneath as an advertisement. Nothing allows us to conclude that this fourth brand should have been included in the answer or that it is better than the others. The interface clearly indicates that it is sponsored content, but its simple presence has already introduced it into the set of options available in the user’s mind.
This is an old advertising mechanism operating in a new environment. Advertising has never needed to persuade immediately in order to have an effect: repetition, proximity, familiarity or simply the presence of a brand at the moment a decision is being formed can all contribute to memorability and consideration. In a conversation with an AI assistant, that proximity has an additional characteristic because the user has often just received what feels like personalised advice. The advertisement is not appearing next to generic content, but directly beside an answer built around the user’s own problem.
The “Sponsored” label can maintain a clear formal distinction between the two types of content, but it cannot prevent every cognitive association. This is likely to become one of the central questions of trust: OpenAI may guarantee the technical independence of the model from advertisers, but it will also need to maintain an independence that remains sufficiently visible for users not to start associating the presence of an advertisement with the content of the answer immediately above it.
ChatGPT Could Even Become the Tool Used to Judge the Advertisement
The proposed system includes another unusual mechanism. By default, ChatGPT does not see the advertisement displayed to the user because the ad belongs to a different layer of the experience. However, the user can voluntarily share it with ChatGPT through the “Ask ChatGPT” function and ask what the model thinks about the offer, whether the product genuinely matches the need that was expressed or how it compares with the alternatives mentioned earlier.
The situation is almost paradoxical: the same environment can display an advertisement and then allow the user to ask the AI to criticise it. OpenAI again states that the advertiser cannot influence the answer generated about its own ad. A company could therefore pay for exposure and immediately see ChatGPT explain that another product would actually suit the user better.
This possibility could significantly distinguish conversational advertising from traditional digital formats. A banner does not respond to objections, while an advertisement in a social feed may be commented on without being instantly submitted to an intermediary capable of comparing the offer with the user’s detailed requirements. Inside ChatGPT, the advertisement can itself become an object of conversation, evaluated in the very environment where it has just been displayed.
For brands, this means that the real quality of the offer, the consistency between the advertising promise and the landing page, the price and the product’s actual characteristics may become even more important. Communication can no longer be considered separately from the experience and the value proposition when users have immediate access to a tool capable of confronting one with the other.
Conversational Targeting Could Be Far More Powerful Than a Simple Keyword
Contextual advertising is obviously not new. Google has built a huge part of its advertising business around the intent expressed through a search query, while social platforms use a wide variety of signals to decide which messages should be displayed.
Conversation adds a different level of depth.
A search query is often short. A conversation may last several minutes, include successive clarifications, reveal constraints and gradually expose what the user is genuinely trying to achieve. The system is no longer observing only an isolated phrase, but potentially a broader context.
That difference could make conversational advertising an extremely valuable territory. A user asking “which insurance should I choose?” already expresses commercially interesting intent. A user who describes their situation, budget, priorities and hesitations provides a much richer context, even if none of that information is ever directly shared with the advertiser.
OpenAI is nevertheless placing boundaries around this logic. Ads are not intended to appear next to certain sensitive or regulated topics, including personal health, mental health and politics. Personalisation can also be disabled, in which case the current conversation may still be used to select relevant ads, but previous chats, memory and other signals are no longer used in the same way.
The most valuable advertising asset in ChatGPT may therefore not be knowledge of the user’s identity, but an understanding of their immediate intention.
Not Every User Will See This New Layer of ChatGPT
Advertising does not affect every version of the product. Under the system announced by OpenAI, ads may appear for users on Free and Go. Plus, Pro, Business, Enterprise and Edu remain ad-free.
OpenAI also plans to offer a particular option for free users: an ad-free experience in exchange for lower usage limits and reduced access to certain features. The company is therefore not simply offering a binary choice between paid subscription and advertising, but an additional trade-off between access levels and advertising monetisation.
This detail is interesting because it reveals how much the business model of AI assistants is still being built. Running models used by hundreds of millions of people is expensive. Subscriptions provide one answer, and advertising is now becoming another.
For OpenAI, the balance will be delicate. Much of ChatGPT’s value rests on the trust users place in its answers. A social platform can increase the quantity of sponsored content at the risk of making the experience more irritating. An assistant used to think, compare and make decisions faces an additional constraint: users must continue to believe that the advice they receive has not been contaminated by the company paying for exposure.
That is why the separation between answer and advertisement is not simply a design detail. It becomes part of the product itself.
The Real Question May Not Be Whether Advertising Influences ChatGPT
To the question “Can advertisers pay to influence ChatGPT’s answers?”, OpenAI’s answer today is clear: no.
But that question may quickly prove too narrow.
Advertising rarely works by directly altering the editorial content surrounding it. It also works because it appears at the right moment, creates an association, increases brand familiarity or adds one more option to a decision.
Inside ChatGPT, that moment may be particularly powerful. The user may have spent several exchanges describing a problem, refining criteria and receiving an answer that structures the decision. A brand can then appear immediately beneath that answer without having influenced a single word of it.
OpenAI’s challenge will therefore be twofold: maintain genuine independence between advertising and answers, while making that independence visible enough to remain credible to users. Advertisers face a different challenge: learning how to exist beside an adviser they do not control and that may, a few seconds later, be asked to evaluate their own advertisement.
Advertising does not need to enter the answer in order to enter the decision.
We support companies that want to adapt their marketing and communication to decision journeys increasingly shaped by AI-powered search engines and assistants.
Written by Julien Ricciarelli-Bonnal
3 September 2026
