AI-powered shopping is moving beyond ads in ChatGPT. The real disruption is happening in automated checkout flows and agent-driven purchases. Brands that optimize product data now will have the edge as Google, Amazon, and OpenAI build the next wave of commerce infrastructure.
Every week, headlines tout the rise of ChatGPT ads, but the most significant transformation in AI commerce is unfolding elsewhere. While agencies focus on new ad formats and integrations, the real action is in the infrastructure powering automated purchases-where the transaction itself becomes the ad unit.
Brands quietly gaining ground are those refining their product data to ensure they are included in AI-driven buying decisions. As Google, Amazon, and OpenAI invest in agentic commerce, the quality of your product feed is becoming more important than your next ad campaign.
Despite a 206% increase in referral traffic from ChatGPT to external sites in 2025, according to Semrush, this growth is fueled by deeper engagement from existing users, not by a growing user base. ChatGPT’s U.S. audience has remained flat since September 2025, limiting the platform’s advertising reach.
This stagnation poses a challenge for OpenAI’s ad ambitions. Ad revenue depends on expanding audiences, and without new users, scaling becomes difficult. OpenAI’s leaked financials revealed $13 billion in revenue against $34 billion in costs for 2025, resulting in a $21 billion operating loss. Although the company improved its revenue-to-cost ratio from $2.37 per dollar in 2024 to $1.60 in 2025, the gap remains substantial, prompting OpenAI to delay its IPO.
For context, Amazon lost $30 million the year it went public, while Google and Meta were already profitable at IPO. OpenAI’s scale of investment is unprecedented, raising questions about how long investors will support such losses.
While ChatGPT Ads attract attention, they are a defensive move rather than a long-term strategy. Sam Altman has consistently expressed skepticism about ads as a core business model. Instead, OpenAI’s real ambition lies in agentic commerce-AI agents that can complete purchases on behalf of users.
Google’s Universal Cart, introduced at Google I/O 2026, is a prime example. Built on the Universal Commerce Protocol, it allows AI agents to handle transactions directly, with Gemini determining which products are recommended and purchased. This infrastructure is already live, not a distant vision.
Amazon has merged Rufus, its expert shopping assistant, with Alexa+ to create Alexa for Shopping. This unified experience enables over 300 million customers to automate deal-finding and routine purchases, with Alexa completing transactions and reducing the gap between discovery and purchase.
OpenAI is following a similar path. Its Ads Manager already supports integrated product feeds-a feature that took years for Google, Meta, and Amazon to perfect. The launch of product feed ads in 2026 signals a push for familiar revenue streams, but the more transformative architecture is being built behind the scenes.
For those tracking the evolution of ChatGPT Ads, it’s worth noting that the platform recently expanded its toolkit and geographic reach, as detailed in this report on new features and markets.
For marketers, the key question is no longer whether to test ChatGPT Ads or diversify beyond Google. The real priority is preparing product data for agentic commerce. When AI agents-whether Alexa, Google’s shopping agent, or future OpenAI products-make purchase recommendations, they rely on product feeds, not campaign creatives. The accuracy and completeness of your data will determine your visibility in these recommendations.
This shift mirrors previous transitions in digital advertising. When Google moved from keywords to intent signals, advertisers with robust conversion tracking and first-party data thrived. When Meta introduced black-box optimization, creative quality became the differentiator. Now, data quality is the deciding factor at the transaction layer.
To compete, brands should ensure product feeds are complete, accurate, and updated in real time; implement structured data across catalogs; and invest in API integrations with platforms building agentic infrastructure. Treat product data as a strategic asset, not just a maintenance task.
Ultimately, while ChatGPT Ads will generate some revenue and case studies, they are unlikely to rival Google Ads in scale or impact. The true disruption is happening in the infrastructure enabling automated, agent-driven commerce. Brands that invest in superior data will be best positioned to win as this new landscape takes shape.
OpenAI, founded in 2015, has rapidly become a central player in the AI ecosystem. By 2025, the company reported $13 billion in revenue but faced $34 billion in total costs, reflecting the immense resources required to develop and operate large language models. OpenAI’s user base for ChatGPT in the U.S. has plateaued, but the platform continues to see increased engagement from existing users. The company’s decision to delay its IPO underscores the financial and strategic challenges of scaling AI-powered commerce and advertising.
