Recently, OpenAI has implemented its most significant strategic adjustment in the advertising business since its launch. According to The Information, OpenAI is rapidly shifting the focus of its ChatGPT advertising business from initial "premium brand customization" to "mass-market and performance-driven." This shift marks OpenAI's official entry into the deep waters of competition with internet advertising giants like Google and Meta.

1. A Big Drop in Barriers: From $200,000 to Self-Service for All

At the beginning of its advertising business, OpenAI adopted a strict "VIP strategy": it only opened up to industry-leading brands such as Adobe and Ford Motor Company, and set a minimum prepayment threshold of $200,000 (approximately RMB 1.45 million).

But in the latest adjustment:

  • Barriers are completely removed: OpenAI has abolished the minimum prepayment amount that was unattainable for small and medium-sized enterprises.

  • Self-service ecosystem: Whether it's a large brand or a local small business like a car wash or dry cleaner, all can now participate in ad placements through a self-service advertising platform, achieving a highly standardized internet-based ad purchasing method.

2. Strategic Shift: From "Exposure" to "Conversion"

OpenAI's goal has evolved from simple "brand display" to "performance conversion." To attract merchants who place a high emphasis on return on investment (ROI), the company is actively testing a new type of "conversion-oriented advertising."

  • Change in payment logic: Previously, ads mainly used the "cost per thousand impressions (CPM)" model, but the new model being tested aligns more with traditional performance marketing—advertisers pay only when users complete actual actions such as placing an order, making a reservation, or filling out a form.

  • Infrastructure improvements: To support this transition, OpenAI is pushing advertisers to install "tracking pixels (Ad Pixel)" and connect API interfaces, allowing customers' backend conversion data to be sent back to the OpenAI system, building a precise conversion evaluation system comparable to those of Google and Meta.

3. In-Depth Analysis: Why the Shift to the SME Market?

This transformation reflects three core commercialization needs of OpenAI:

  1. Building an Ecosystem Moat: Compared to high-end luxury brands and car manufacturers, the vast number of local service providers (such as hair salons, gyms, and consulting firms) are the "long-tail economic" pillars that maintain the vitality of the internet advertising platform ecosystem.

  2. Facing Commercial Competition in the Era of Large Models: As major model manufacturers enter the monetization race, OpenAI needs to prove the immediate transaction value of its traffic through "performance advertising," rather than just remaining at the level of discovery-based search.

  3. Data Value Cycle: By bringing in more small and medium-sized advertisers, OpenAI can collect more diversified business scenario data, further improving the accuracy of its ad recommendation algorithms, creating a positive flywheel of "more投放, better results, and more投放."

4. Industry Signal: The "Transactionization" Upgrade of AI Platforms

Industry analysts believe this is a milestone in the evolution of AI platforms from "pure information discovery tools" to "transactional ecosystems." ChatGPT was previously seen as a "responder," but by integrating conversion ads and a self-service backend, it is becoming a terminal that can directly achieve a traffic loop and commercial monetization.

For developers and advertisers, this adjustment lowers the cost of experimentation, signaling that ChatGPT will soon become another key channel for acquiring traffic and converting customers, following search and social media.