ChatGPT Ads: AI now generates ads for you
OpenAI has rolled out a new feature for ChatGPT Ads that automatically generates ads on the platform using artificial intelligence. Advertisers find the option under "Add new ad" with the prompt "generate ads for you." Marketers can then let ChatGPT create the ad, review the draft, edit it, and approve it for delivery on the ChatGPT Ad platform. OpenAI is thus shifting a central step in campaign creation directly into its own ad backend—apparently based on website data and campaign settings.
The development comes at a time when AI platforms are integrating paid formats into conversational interfaces. ChatGPT has evolved from an assistant tool into an ecosystem where brands can buy visibility. Automatically generated ads are meant to lower the barrier to entry, produce more ad creatives faster, and strengthen the platform's business model. For marketing leaders, this marks another step away from rigid forms toward adaptive systems that derive content from existing signals and relieve teams from repetitive copywriting.
What the new feature looks like
Marketing expert Anthony Higman published a screenshot of the new interface on the platform X. It reads: "We generated an ad variation based on your website and campaign settings. Review, edit as needed, and activate when you're ready." Users can then review and finalize the draft via "Review and create." The system does not just produce generic text blocks but incorporates website content and existing campaign parameters into ad creation—an approach established ad platforms already use successfully for automatic copy generation.
In addition to AI generation, Higman also spotted a quick option to duplicate existing ads. This makes it easier to scale successful variants or use them as starting points for further tests. For performance marketers, this mainly means shorter production cycles and more variants in the same time frame. In a still young ad format that must prove itself against established channels, speed in testing can be a decisive advantage. At the same time, the need for clear quality guidelines grows so automatically generated copy meets brand voice, compliance, and legal requirements.
Why this matters for marketers
It makes sense that OpenAI would use AI to help advertisers create ads. The goal: more ads are created and submitted faster, allowing the platform to generate higher ad revenue. For companies, this opens an additional channel in the growing AI ecosystem—alongside classic search and social channels. Those who test early can gain experience before competition for attention in dialog-based interfaces intensifies and CPMs rise.
At the same time, ChatGPT Ads differs fundamentally from classic search engine advertising. Ads do not appear on a SERP but in a conversational environment where users ask questions and receive recommendations. Messaging must therefore be adapted to dialog-based expectations: short, clear value propositions instead of keyword stacking. AI-assisted creation lowers the entry barrier but does not replace a thoughtful channel strategy with clear goals, budget control, and conversion tracking. Audience selection and alignment with organic content remain central tasks in the marketing mix.
Opportunities and risks at a glance
| Aspect | Advantage | Risk |
|---|---|---|
| Speed | Faster drafts from website and campaign data | Shallow copy without brand fit |
| Workflow | Review step integrated before approval | Blind adoption without checks |
| Scaling | Duplicate function for variant testing | Too many similar ads without differentiation |
| Channel integration | Extension of the AI marketing mix | Unclear measurability vs. classic channels |
Brands should therefore define internal checklists: Does the tone match corporate language? Are legally relevant notices included? Does the offer fit the context of an AI conversation? Without these guardrails, automation can create volume but not necessarily better results. Especially sensitive industries with strict ad rules should have generated drafts reviewed legally before approval.
Practical recommendations for advertisers
Marketers should be very careful when using AI-generated ads. Generated copy must be reviewed carefully to ensure it meets branding guidelines, marketing criteria, and ROI goals. A proven three-step process works well: first review AI drafts and remove obvious errors or generic phrases. Then sharpen at least one variant manually with concrete benefits, clear audience targeting, and an explicit call to action. Finally run small budget tests and measure performance against manually created control ads.
- Always check generated ads for brand voice and legal safety before approval.
- Test multiple AI variants against manual drafts instead of accepting just one.
- Adapt messaging to dialog-based use: short, clear, benefit-oriented.
- Set up tracking and attribution early to evaluate the channel cleanly.
- Use the duplicate function strategically for A/B tests, not for mass production.
In the long term, it will become clear whether ChatGPT Ads takes an independent role in the media mix alongside Google Ads, Meta, and LinkedIn. AI-assisted ad creation is not an isolated feature but part of a larger trend: ad platforms are increasingly automating creative production as well. Agencies and in-house teams can reallocate capacity toward strategy, testing, and analysis. At the same time, first-party data and clear conversion goals grow in importance so AI-generated ads do not just appear faster but also contribute measurably to business outcomes. Teams that test early in a structured way and prioritize quality over speed can benefit from shorter production cycles without giving up control over brand communication.
