ChatGPT Ads and Google Search: What Marketers Should Know

Marketers considering ChatGPT advertising alongside Google Search should avoid moving budgets without more data, according to HubSpot Marketing. The platforms use different methods to connect ads with potential customers, and the better choice depends on campaign goals, buyers and the ability to measure results.

Google Search advertising is based on keyword bidding: advertisers bid on terms, and Google can display their ads on the corresponding results pages. ChatGPT takes a different approach, with OpenAI matching placements to the context of a conversation. An ad’s appearance in ChatGPT is not guaranteed, so advertisers should not assume that every relevant exchange will produce a placement.

ChatGPT ads are paid placements shown below relevant answers and identified as sponsored. OpenAI’s Help Center says a placement includes the advertiser’s name and logo, a headline, a short description, a landing page and an image. That format places the ad alongside an existing conversation rather than on a search results page.

Access also differs by plan and age. According to the source, ads appear for users on ChatGPT’s Free and Go plans, but not on Plus, Pro or Business plans. They are also not shown to users under 18. Marketers evaluating the channel should account for those limits when considering which buyers they want to reach.

OpenAI announced a further ad format on October 5, 2026. The company plans to test visual ads during image generation, beginning later that month in the United States with an initial group of advertisers. ChatGPT advertising remains in beta, and HubSpot cautions that details may change. Marketers should check current information before making decisions based on the formats or availability described here.

What this means for marketers

HubSpot suggests assessing the two channels against the audience a business wants to reach, its objectives and how well it can measure outcomes. Rather than treating ChatGPT as an immediate replacement for Google Search, teams can consider a hybrid test and use the resulting data to inform later budget decisions. The differences in ad matching and audience availability make direct assumptions about performance especially risky while the newer offering is still in beta.