ChatGPT Ad Prices Drop Ahead of Global Rollout
The cost of advertising on ChatGPT has dropped sharply since the pilot launch in February. Initially, CPM rates started around $60 per thousand impressions, but they have since fallen to as low as $25. In addition, some buyers report prices between $25 and $35, while lower estimates near $15 have also circulated.
At the same time, OpenAI reduced the minimum advertiser spend from over $200,000 to $50,000. As a result, more advertisers can now enter the platform. Consequently, the broader pool includes buyers with varying budgets and pricing expectations, which has contributed to downward pressure on CPM rates.
Platform Prepares for Broader Rollout
Meanwhile, pricing trends suggest preparation for a wider global rollout. Although ChatGPT does not yet run a live auction system, current pricing behavior aligns with early-stage market expansion. Therefore, the platform appears to be moving toward a more accessible, auction-based advertising model.
In addition, OpenAI expanded the pilot to Canada, Australia, and New Zealand in March. The company also reported strong early revenue growth within weeks of launch. Furthermore, ads remain limited to free and entry-tier users, while higher-tier subscribers continue to experience an ad-free environment.
At the same time, partnerships have begun to take shape. Criteo connected thousands of advertisers to the platform, and discussions with programmatic platforms are underway. As a result, the ecosystem is gradually forming around scalable ad delivery.
Measurement Gaps and Pricing Outlook
However, the platform still faces measurement challenges. While post-click tracking is straightforward, broader attribution remains underdeveloped. Therefore, advertisers lack clear benchmarks to assess the true value of impressions.
In response, OpenAI is developing conversion tracking tools, including a pixel system. Additionally, cost-per-click and cost-per-action models are expected in future updates. Even so, current CPM rates remain significantly higher than traditional platforms.
Consequently, pricing stability will depend on improved measurement and broader adoption. As the platform evolves, its ability to justify premium pricing will shape long-term revenue potential and advertiser confidence.
