ChatGPT ads: 50% fewer dismissals as relevance rises

OpenAI is reporting early momentum in its advertising business: users are dismissing ads inside ChatGPT far less often than at the start of the rollout. Since the ad offering launched in February, the rate at which ads are swiped away or closed has fallen by roughly 50 percent. For marketing and GEO teams, this is more than an internal metric—it signals that conversational ad formats in AI environments are gaining relevance and that ChatGPT could become a serious channel for intent-driven brand communication.

Denise Dresser, Chief Revenue Officer at OpenAI, shared the figures publicly. The company treats ad dismissals as a proxy for usefulness: frequent dismissals signal poor fit with the ongoing dialogue. A halved dismissal rate suggests users increasingly find embedded recommendations helpful and aligned with the conversation context—a key lever as generative assistants seek new revenue streams alongside subscriptions and enterprise contracts.

Why falling dismissal rates matter for marketers

Classic display advertising competes for attention in environments built mainly for entertainment or information. ChatGPT works differently: users typically open the assistant with a concrete task—research, planning, product comparison, or problem solving. Ads that interrupt this flow or fail to connect thematically create friction and undermine trust in the platform. Lower dismissal rates suggest OpenAI is surfacing offers more effectively at moments of high purchase or decision intent.

For performance marketers, this opens a new logic beyond interruptive formats. Instead of placing banners on content pages, advertising integrates into ongoing conversations. Brands can reach consumers while they actively search for solutions—a setting similar to classic search ads in intent proximity, but without a traditional SERP surface. Teams dividing budget between Google Ads and organic SEO should assess whether ChatGPT belongs in media planning as a paid channel.

Relevance as a core design principle

Dresser repeatedly emphasized that improving relevance is central to product development. Unlike traditional display advertising, AI experiences set a higher bar for usefulness. Users expect every embedded recommendation to advance the dialogue—not distract from it. OpenAI therefore positions the format deliberately as utility-first: ads should deliver recommendations users perceive as valuable.

• Dresser put it this way: "This form factor is about usefulness. That's great for the consumer, great for the user."
• Fewer dismissals point to better contextual fit between prompt, answer, and ad suggestion.
• Success depends less on attention impressions than on perceived help within the task flow.

For GEO and content teams, this means brands aiming for visibility in AI surfaces must frame offers so they feel like natural recommendations. Pure awareness messages without connection to the user's question still risk high dismissal rates—regardless of media budget.

How advertising is evolving inside generative platforms

The current figures offer an early glimpse into how advertising evolves within generative AI. Instead of interrupting content consumption, ads increasingly anchor in ongoing dialogues and user-driven intent. Successful formats deliver recommendations users perceive as genuinely helpful—not as forced interruptions. Lower dismissal rates suggest OpenAI is making progress on this path, even though the business remains in an early phase.

In parallel, OpenAI is expanding its ad offering on multiple fronts. The ads manager is now available in beta to UK advertisers as well, while the company aggressively competes for enterprise spending—including market share against rivals such as Anthropic among corporate customers. This dual pressure forces OpenAI to diversify revenue without damaging user experience across consumer and B2B products.

Comparison: classic display advertising vs. ChatGPT ads

Revenue pressure and competition in the AI market

OpenAI had previously signaled that its ad business reached early revenue milestones and that self-serve access is expanding. The combination of a growing ad business and enterprise competition makes every relevance gain strategically important: lower dismissal rates support the thesis that users accept conversational ads when they fit the moment. At the same time, pressure grows not to scale at the expense of engagement or trust.

Rivals such as Anthropic focus more strongly on B2B applications, while OpenAI expands consumer reach and monetization in parallel. For advertisers, an evolving ecosystem emerges: AI platforms are becoming not only discovery channels but potential paid media with their own quality metrics. Teams that test early how messages perform in dialogue-based environments gain experience for a channel that still lacks established benchmarks like classic search.

What marketing teams should watch

The 50 percent reduction in ad dismissals is an early indicator, not a final verdict. What matters is whether OpenAI can keep improving relevance while user retention and conversation quality remain stable. If that succeeds, ChatGPT could grow into a meaningful advertising platform—and offer a blueprint for how ads function in conversational AI environments.

• Use dismissal rates as an early indicator of acceptance for conversational ad formats.
• Align ad messaging with usefulness and dialogue context, not pure awareness.
• Track expansion of the ads manager and self-serve access for international testing.
• Extend GEO strategies: visibility in AI surfaces and paid presence increasingly belong together.

For SEO, GEO, and performance leaders, the trend marks another step away from pure search result pages toward agentic surfaces where recommendations and advertising can merge. Understanding the dismissal metric helps teams spot early whether a new channel wins user acceptance—or whether budgets are better spent elsewhere.