Published on: September 2, 2026
OpenAI’s advertising business has reached a $1 billion annualised revenue run rate in less than 200 days, according to the company, marking a rapid early milestone for ChatGPT Ads. OpenAI says tens of thousands of advertisers are now using the platform, barely six months after advertising tests began.
The milestone does not mean OpenAI generated $1 billion in advertising revenue during those six months. Instead, the figure reflects the annual pace of revenue based on the business’s current performance.
The achievement remains modest compared with Google’s established advertising operations. In the fourth quarter of 2025, Google Search and other advertising businesses generated $63.1 billion, while YouTube advertising contributed another $11.4 billion. Google has spent more than two decades developing its advertising ecosystem, while ChatGPT Ads is still in its early stages.
The timing of the milestone is significant for India, where OpenAI has now expanded ChatGPT Ads alongside markets in Europe, the Middle East and North Africa. The rollout, which includes self-serve access through Ads Manager, brings the platform into one of the world’s largest and most competitive digital advertising markets.
The immediate challenge for OpenAI in India is likely to be less about advertiser interest and more about the price marketers are ultimately willing to pay for conversational intent.
OpenAI has set a minimum daily campaign budget of ₹725 in India, creating a relatively low barrier for advertisers looking to experiment. The platform supports CPM, CPC and conversion-optimised CPC buying, while its global guidance recommends maximum CPC bids of $3-$5 for campaigns starting with CPC.
For marketers, the larger question is whether the quality of intent available through ChatGPT can justify potentially higher media costs.
Akshat Chaudhry, Head of Marketing & Product at Titan Eye+, believes the platform’s strength comes from the depth of context surrounding a user’s intent. However, he cautions that “whether brands will pay a premium” will ultimately come down to whether the platform can demonstrate “incremental conversion and business outcomes.”
Viren Inaniyan, Co-founder and CEO of Trucommerce.ai, similarly believes the value lies in the moment of intent rather than automatically assuming that ChatGPT users are more valuable than users on other platforms.
Search typically captures keywords, while social platforms infer interest from behavioural signals. A conversational interaction, by contrast, can reveal details such as budget, requirements, use cases and trade-offs, potentially giving advertisers a clearer picture of purchase intent.
“The yardstick is incremental ROAS, not CPM,” Inaniyan says. He also points out that “ChatGPT ads launched at roughly three times Meta’s CPM. That’s appetite, not proven ROI.”
The early trajectory of ChatGPT advertising pricing indicates that the market is still finding its equilibrium. Industry reports initially placed ChatGPT inventory at approximately $60 CPM during the US pilot, compared with typical Meta CPMs below $20 according to media buyers.
Pricing has since shown signs of easing, with some buyers reporting average CPMs closer to $45, while certain deals have reportedly fallen into the $25-$35 range.
The movement suggests that OpenAI’s advertising product is already undergoing a price-discovery phase as supply, advertiser demand and performance data evolve.
India is expected to be an especially demanding market in this regard. Existing advertising benchmarks in the country differ considerably depending on category, objective and advertiser profile. One 2026 dataset covering more than 100 Indian D2C brands and over ₹8 crore in managed ad spend reported a median Google Search CPC of ₹18 and a Meta CPM of ₹290.
These figures cannot be directly compared with OpenAI’s global recommended CPC bid. A maximum bid does not represent the final clearing price, while conversational intent may also represent a fundamentally different commercial opportunity from a social impression or a standard search query.
Jacob Joseph, VP – Data Science at CleverTap, believes the economics ultimately depend on what happens after a user clicks.
“Cost per acquisition is CPC divided by conversion rate, so the two can offset each other. If a ChatGPT click costs 50% more but also converts 50% better, cost per acquisition stays flat, and the premium makes economic sense.”
However, if conversion rates fail to offset higher CPCs, the cost of acquiring each customer could rise considerably.
That uncertainty is already influencing advertiser sentiment. Several marketers contacted for industry commentary have indicated that they are not yet ready to assess whether ChatGPT Ads can justify a premium because there is still limited India-specific campaign data.
OpenAI is also still developing the measurement infrastructure around the product. Ads are selected using a relevance-weighted, second-price auction, with bid value considered alongside relevance to the conversation and other contextual signals.
The platform currently provides reporting on metrics including impressions, clicks, spend, CTR, average CPC, average CPM and conversions. However, it does not yet have the depth of historical performance benchmarks available across more established advertising platforms.
This creates an unusual dynamic: the revenue scale is developing faster than the benchmark data needed to evaluate it.
Nikhil Khatri, Vice President, Biddable Performance and E-Market at LS Digital, expects Indian marketers to approach the platform cautiously.
“I expect brands to experiment first rather than immediately paying a premium,” he says.
According to Khatri, sustained advertiser adoption will depend on whether conversational intent can consistently translate into stronger business outcomes. If it can, ChatGPT could eventually command higher prices for the moments when consumer intent is particularly strong.
The opportunity may be particularly relevant for categories where consumers spend more time researching and comparing options.
Inaniyan identifies automobiles, travel, electronics, education and B2B software as areas where conversational advertising could have a stronger role, as users often spend several interactions defining requirements before making a decision.
For Prabhvir Sahmey, CEO and Co-founder of Stratpulse Labs, who says he has been testing ChatGPT Ads for three to four months, advertisers are entering a learning curve that extends beyond media buying to the broader evolution of AEO and GEO.
His view on pricing is straightforward: “If the platform delivers the right or better ROI, price will be secondary.”
ChatGPT Ads reaching a $1 billion annualised run rate in under 200 days demonstrates that advertiser demand for the format is already significant. The participation of tens of thousands of advertisers suggests that businesses are willing to experiment with an advertising environment built around conversational behaviour.
The bigger question is whether that early momentum can translate into sustained spending.
India presents an important test because advertisers can begin experimenting at a relatively low entry point, with the minimum daily budget set at ₹725. But long-term adoption will depend on what happens when marketers move beyond testing and begin comparing ChatGPT against platforms whose pricing, reach, targeting and performance benchmarks they have spent years understanding.
For OpenAI, the challenge is therefore not simply to prove that advertisers will buy ChatGPT Ads. It is to establish that conversational context can produce sufficiently strong incremental outcomes to justify the premium, if one exists.
The company has already demonstrated advertiser appetite. The next phase will be about proving the economics. In that sense, the $1 billion run rate may be less a finish line than the starting point for discovering what conversational advertising is actually worth.
