New advertising channels rarely grow in a straight line. They attract curiosity first, then testing, then increasingly serious budget decisions. AI ads are now entering that middle stage, where the market is no longer asking whether the channel exists. It is asking what kind of channel it is becoming.
The early behavior inside ChatGPT ads already offers an answer. The objective mix leans toward performance, advertiser participation keeps broadening, and some brands are moving aggressively to secure learning and share of voice while the channel is still taking shape.
AI Ads Are Entering the Mix Through Performance First
According to AdClarity by BIScience data, in April 2026, performance advertising represented 59% of observed ChatGPT ad activity, while brand awareness represented 41%. That split matters because it shows how advertisers are initially framing the opportunity. Rather than treating AI ads mainly as a top-of-funnel branding experiment, many are approaching the channel as a place to drive action, capture intent, and test response.
AI Ads Brand Awareness vs Performance Mix
Source: AdClarity by BIScience
That pattern makes sense in a conversational environment. Users often arrive with a question, a need, or a comparison in mind. For marketers, that creates a setting where performance messages can feel natural, especially when paired with offers, utility, or direct value propositions.
Early Winners Are Not Following One Standard Playbook
The leading advertisers in April included:
- HubSpot
- Fiverr
- Top10.com
- Booking.com
- Zapier
- Shopify
- Coursera
- Adobe
- Speechify
What stands out is not only who is present, but how differently they appear to be approaching the channel.
One of the clearest examples is Fiverr, which ran more than 1,000 unique ads on ChatGPT. That kind of creative volume points to an unusually aggressive testing strategy. The broader pattern is that some advertisers seem willing to accept short-term efficiency pressure in order to gain scale, learn faster, and establish an early position while the channel is still evolving.
The Real Strategic Question
As AI ads grow, the most important question for media teams is not simply how much is being spent. It is where that budget is coming from. In practice, AI ads should not be treated as a separate curiosity. They need to be compared channel against channel, using the same competitive logic marketers already use for display, social, online video, CTV, and linear TV.
That is where the market becomes strategically meaningful. If advertisers are shifting money into AI ads from other digital or traditional channels, the story is bigger than one emerging format. It is a sign that conversational environments are changing how discovery and decision-making are monetized.
How Teams Should Respond
The early AI ads market is still young, but it is already producing usable signals. Objective mix, advertiser behavior, and creative volume can all reveal how quickly the channel is moving from experimentation to established planning.
The smartest next step is to benchmark AI ads with the same discipline used for every other channel. Teams that understand not only who is active, but how they are using the channel and what role it plays in the wider media mix, will be in a much stronger position as the market matures.
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