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OpenAI launches Ads Manager for ChatGPT and a pay-per-click model for ads

OpenAI has begun expanding ChatGPT’s advertising model. The service now includes a beta Ads Manager for launching campaigns independently, a pay-per-click…

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OpenAI launches Ads Manager for ChatGPT and a pay-per-click model for ads
Source: OpenAI Blog. Collage: Hamidun News.
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OpenAI expands advertising capabilities for ChatGPT and makes this format more understandable for the market. The company announced a beta version of a self-serve Ads Manager, a click-based payment model, and new measurement tools, separately emphasizing privacy protection and the separation of advertising from user conversations.

What OpenAI Is Launching

The main change is the self-serve Ads Manager in beta status. Essentially, it's a dashboard for advertisers where campaigns can be configured and launched without a long chain of approvals through the sales department. For the market, this is an important shift: when a platform gains self-serve mechanics, it stops being just a storefront for individual partnerships and becomes a channel that can be scaled. At the same time, the barrier to entry decreases for teams that need to quickly test hypotheses and manage advertising without intermediaries.

Alongside this, OpenAI is adding a click-based payment model. For brands, this is a more understandable purchasing logic: paying not simply for presence near an audience, but for a specific user action. In the context of ChatGPT, this is particularly important because advertisers need not only reach, but also a signal that a user is genuinely interested in the offer and clicked through. This model typically makes budgeting more transparent and simplifies comparing the channel with other digital platforms.

What Brands Will Get

Based on the announcement, OpenAI is assembling a basic set of tools without which an advertising platform cannot grow quickly and predictably. We're not talking about a new storefront in the interface, but about commercial infrastructure around already existing ad placements. For agencies and internal marketing teams, this is more important than another redesign: without a proper dashboard, bidding, and analytics, advertising remains a bespoke product that is difficult to scale and hard to integrate into regular media plans.

  • Beta dashboard for independent campaign launches
  • Bidding and pricing based on a click-based model
  • Improved tools for measuring results
  • Separate restrictions to protect privacy
  • Clear separation of advertising and conversation content

Enhanced measurement tools are needed not for the beauty of reports, but for the normal economics of advertising. If a platform lacks clear attribution and transparent metrics, brands find it difficult to compare it with Google, Meta, or retail media networks. That's why OpenAI's move looks not like a cosmetic update, but as an attempt to speak to the advertising market in its familiar language: launch, bid, result, control.

Without this, large budgets typically don't enter even fast-growing products. At the same time, the announcement itself is quite cautious. OpenAI doesn't promise aggressive monetization at any cost, but emphasizes that advertising mechanics should operate separately from the user experience of interacting with the model.

For ChatGPT, this may be more important than the advertising formats themselves: trust in the product directly affects people's willingness to return to the service every day. If advertising begins to be perceived as an intrusive part of the conversation, revenue growth will quickly hit a wall with declining loyalty.

The Boundary with Conversation

The most sensitive part of the news is not the Ads Manager or the click-based payment model as such, but the promise to keep user conversations separate from advertising. OpenAI directly links the expansion of advertising tools with privacy protection. This means the company understands the main risk: if users feel that their dialogs are beginning to turn into raw material for advertising targeting, the reaction will be severe.

For a service that is often used as a work tool, this is a particularly painful scenario. For an AI product, this boundary is critical. In an ordinary social network, advertising has long been embedded in the feed and is perceived as part of the interface.

In a conversational assistant, the expectation is different: a user comes not to browse content, but to solve a task, ask questions, discuss documents, ideas, and work processes. Any sense that an advertising block interferes with the dialogue itself or influences the model's response quickly undermines trust. And trust remains the primary asset of almost any generative service.

That's why OpenAI separately emphasizes the principle of separating conversations and advertising. If we translate this to product language, the company is trying to draw a clear line: advertising inventory exists, but conversations don't become an advertising feed. For advertisers, this is a limitation, but at the same time a protection for the platform itself.

Without it, monetization might yield short-term income but weaken the key value of ChatGPT—the sense of a neutral work interface. This is a compromise without which it will be difficult to scale advertising in an AI service.

What It Means

OpenAI is taking the next logical step: transforming advertising in ChatGPT from a point option into a system product for the market. If the company maintains the promised boundary between commerce and dialogue, it will gain a new major source of revenue without directly destroying the user experience. For the industry, this is a signal that AI assistants are gradually becoming not only work tools, but full-fledged media platforms, but the rules of trust here will be stricter than in classical social networks.

ZK
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