Stock Markets January 26, 2026

OpenAI Sets High Prices for ChatGPT Ads While Delivering Only Basic Performance Metrics

Advertisers are paying rates comparable to major televised inventory but receive limited analytics such as impressions and total clicks

By Leila Farooq
OpenAI Sets High Prices for ChatGPT Ads While Delivering Only Basic Performance Metrics

OpenAI is charging advertisers premium fees for placing ads inside ChatGPT, with rates reported to be on par with high-value video inventory such as NFL programming and higher than fees charged by competitors like Meta. Early advertisers are being given only high-level metrics - primarily impressions and aggregate click counts - rather than detailed, action-level analytics. An OpenAI spokesperson confirmed that advertisers will see total ad view counts, a level of reporting comparable to conventional television buys. The company is not yet providing data on how ads were paired with query responses or whether viewers took downstream actions after seeing ads. Industry observers say broader measurement capabilities could arrive in the future but would require more advanced tooling and time to implement.

Key Points

  • OpenAI is charging premium rates for advertising placements inside ChatGPT, with reported prices similar to high-value televised video inventory and higher than some digital competitors such as Meta.
  • Early advertisers are receiving only basic performance metrics: impressions and total clicks, per a media buyer who works with some of those advertisers.
  • An OpenAI spokesperson confirmed advertisers will get aggregate ad view counts, a reporting level comparable to what television networks typically provide.

OpenAI has positioned its ChatGPT ad placements at the upper end of the price spectrum, asking advertisers to pay premium rates that sources say rival the cost of sought-after televised video inventory. According to people familiar with early buys, those rates exceed what some large digital platforms such as Meta charge.

At the same time, advertisers told media buyers they are receiving only foundational metrics about campaign performance. The data being shared with early partners consists of impressions - the number of times an ad is viewed - and total clicks across placements, according to a media buyer working with some of the initial advertisers.

An OpenAI spokesperson confirmed the company will supply advertisers with high-level insights, including aggregate counts of ad views. That level of reporting was described by the spokesperson as similar to the kind of summary metrics television networks traditionally provide to their advertising clients.

What is not being provided today are finer-grained analytics. OpenAI, at least in the initial rollout, is not supplying advertisers with information on the query responses that accompanied ads or whether users who saw ads then completed specific actions such as making purchases or visiting external websites.

Observers in the advertising and technology communities note that more comprehensive measurement - for example, linking an ad impression to a query response or to downstream user actions - would demand additional engineering and more sophisticated ad tooling. While they say such capabilities could be introduced later, doing so would require time to design, build and deploy those systems.

The current approach positions ChatGPT ad inventory as costly but measured with metrics that are intentionally high level. Advertisers weighing the trade-off are being asked to accept television-style summary reporting in exchange for access to a platform commanding premium rates. How those advertisers ultimately assess the value of that trade-off may depend on whether OpenAI expands its analytics offerings over time.

Risks

  • Limited measurement - The lack of detailed analytics such as query-level context or post-ad user actions may make it difficult for advertisers to assess return on ad spend, affecting digital and marketing budgets.
  • Development timeline - Introducing more advanced ad measurement would require building sophisticated tools, which could take significant time and delay richer analytics for advertisers.
  • Pricing versus measurement - Premium rates combined with high-level reporting may lead some advertisers to question value, potentially impacting demand in advertising and media buying markets.

More from Stock Markets

Federal Judge Blocks Attempt to End Temporary Protected Status for Haitians Feb 2, 2026 Google Cloud and Liberty Global Agree Five-Year Deal to Roll Out Gemini AI Across Europe Feb 2, 2026 Altman Says OpenAI Wants to Stay a Major Nvidia Customer Amid Chips Dispute Feb 2, 2026 Moody's Raises Twilio to Ba1, Cites Growth Trajectory and Conservative Financial Discipline Feb 2, 2026 Moody's Raises OUTFRONT Media Credit Rating to Ba3, Citing Lower Leverage and Digital Push Feb 2, 2026