Advertising in ChatGPT: how to track ChatGPT ads’ performance

OpenAI began testing ads inside ChatGPT in February 2026. The initial rollout started in the United States and was limited to logged-in users on the Free and Go plans. According to OpenAI, advertisers cannot influence model responses, rankings, or recommendations.

At the beginning of the rollout, only a limited number of advertisers were able to participate through OpenAI partnerships and pilot programs. In May 2026, OpenAI expanded access and introduced a beta self-serve Ads Manager and agency-based buying options.

OpenAI has started to define its official measurement stack for advertising, giving marketers their first standardized way to set up ChatGPT conversion tracking. The company has recently published documentation for two approaches to ad tracking: 

• browser-based measurement pixel 
• server-side Conversions API

The approach is similar to what you saw in other advertising platforms like Meta (client-side + server-side solution and platform suggests using a hybrid approach for more precise tracking).

Stape team has developed end-to-end solutions that will allow you to track ChatGPT ads' performance using GTM:

The first solution is the OpenAI Pixel Tag for the GTM web. This tag simplifies the implementation of the Open AI Ads Pixel using GTM. Instead of adding scripts manually to the website, you can configure event tracking for ChatGPT ads directly through GTM. The tag helps align web analytics data with ad platform requirements.

The second solution is the OpenAI Conversions API Tag for the GTM server. This server-side tag allows you to send conversion events directly from a server-side GTM container to OpenAI’s Conversions API. 

The server-side tracking approach improves data accuracy as your tracking becomes less dependent on browser execution. It is especially useful for improving attribution accuracy where browser-based tracking is incomplete or restricted – which is a common gap in ChatGPT ads conversion tracking specifically, given how fragmented conversation-based user journeys can be.

For teams evaluating the best tool to track spend and conversions for ChatGPT ads, hybrid tracking combines two data sources (client-side events and server-side tracking)  into one tracking system. With this approach, you don’t rely on browser tracking alone; you can also capture conversion signals from the server. 

In the context of ChatGPT ads, this approach becomes particularly important because attribution signals are more fragmented. Users may interact with a conversation, click through at different moments, and convert later in a separate session. Browser-only tracking often misses part of this journey due to cookie restrictions, ad blockers, or incomplete session continuity. With the Conversions API, you can be sure that conversion events still reach OpenAI – the core function of OpenAI Ads conversion tracking.

Another key advantage of hybrid tracking is data enrichment, which is part of why it's become one of the top platforms for ChatGPT ad performance tracking approaches marketers rely on. Browser-based events usually contain limited information. With server-side events, you can include additional context such as transaction details, customer identifiers, and CRM data. When combined, these signals create a more complete picture of user behavior.

ChatGPT ads are still in an early stage, but they already signal a shift in how digital advertising and attribution will work. At the same time, tracking is becoming more complex. The tracking direction is clear for now: hybrid tracking (client-side + server-side). Stape provides solutions that help you implement this setup more efficiently and quickly.