Sources: advertisers that bought ChatGPT's first ad campaigns say the process was low tech and that they haven't received much data showing if their ads worked
As OpenAI prepares to open up ad sales to more marketers next month, it is trying to address what some advertisers say was lacking in the initial ad sales offering.
Context & Ripple Effects
OpenAI’s initial ChatGPT ad rollout paired a selective beta with advertiser commitments of at least $200,000, making campaign measurement especially important for buyers evaluating a new channel.
Reports of a $60-per-thousand-impression rate further raise the need for usable performance reporting as OpenAI prepares broader marketer access.
First-order effects
- Early advertisers lack sufficient reporting to determine whether their ChatGPT campaigns delivered results, limiting their ability to assess renewal or expansion decisions.
- OpenAI must improve the sales workflow and measurement offered to buyers as it moves from an initial campaign cohort toward a wider ad-sales rollout.
Second-order effects
- Media buyers may require clearer reporting before allocating larger budgets, slowing the conversion of ChatGPT ad interest into repeatable spend.
- The rollout is pushed toward the operational norms of digital advertising—standardized campaign setup, reporting, and performance evidence—rather than bespoke early-stage sales.
Third-order effects
- AI-chat advertising’s durability will depend not only on audience access but on whether platforms can make conversational placements accountable to advertisers.
- If measurement remains immature, ad monetization could favor platforms with established advertiser tooling; if OpenAI closes the gap, ChatGPT becomes a more credible new distribution surface for brand budgets.
The trend: Generative-AI platforms are shifting from experimental ad inventory to the measurement and workflow infrastructure required for scalable media buying.