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Your Google ads playbook won鈥檛 work for ChatGPT ads. Here鈥檚 what will.

February 13, 2026
Updated on February 18, 2026
PeopleImages // Shutterstock

Your Google ads playbook won鈥檛 work for ChatGPT ads. Here鈥檚 what will.

OpenAI announced that ads are coming to ChatGPT, with testing starting in the coming weeks for free and Go-tier users in the U.S. With 800 million weekly active users, this is one of the most significant new ad channels to emerge in years.

But ChatGPT operates differently. Users don鈥檛 type keywords and scan results. They explain problems, ask for help, and expect real answers. That mindset shift is why your Google Ads playbook won鈥檛 work here. In this article, breaks down what we know so far and how marketers can prepare.

What we know about ChatGPT ads so far

On Jan. 16, 2026, plans to start testing ads in ChatGPT. Here鈥檚 what we know:

Who will see ChatGPT ads:

  • Free-tier users in the U.S. (adults only)
  • ChatGPT Go subscribers in the U.S. ($8/month)

Who won鈥檛 see ChatGPT ads:

  • Plus, Pro, Business, Enterprise, and Edu accounts
  • Users under 18, either self-reported or predicted by OpenAI

Where ChatGPT ads appear:

Ads show up at the bottom of ChatGPT鈥檚 responses, clearly labeled as 鈥淪ponsored鈥 and separated from the AI鈥檚 answer. They鈥檙e contextual, meaning they鈥檙e triggered by what you鈥檙e discussing in the conversation.

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An illustration showing examples of where and how ChatGPT ads appear.
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What鈥檚 off-limits:

OpenAI won鈥檛 show ads near sensitive topics like health, mental health, or politics.

What you can control:

You can dismiss any ads in ChatGPT, see why you鈥檙e being shown it, turn off personalization, and clear your ad data at any time.

What OpenAI says about ad influence:

Ads do not influence ChatGPT鈥檚 responses. Answers are based on what鈥檚 most helpful to you.

OpenAI鈥檚 5 ad principles

OpenAI is framing this rollout carefully. Before ads even go live, they published five principles guiding how advertising will work in ChatGPT:

  1. Mission alignment: OpenAI says advertising supports their mission to make AI accessible to everyone, including those who can鈥檛 or won鈥檛 pay for a subscription.
  2. Answer independence: Ads won鈥檛 influence ChatGPT鈥檚 responses. The AI optimizes for helpfulness, and AI ads are always separate and clearly labeled.
  3. Conversation privacy: OpenAI won鈥檛 share your conversations with advertisers and says they鈥檒l never sell your data.
  4. Choice and control: You can turn off ad personalization, clear your ad data anytime, and there will always be an ad-free paid tier.
  5. Long-term value: OpenAI says they won鈥檛 optimize for time spent in ChatGPT. User trust and experience come before revenue.

Whether these principles hold up once ad revenue starts flowing is another question. But for now, OpenAI is drawing a clear line: AI ads stay separate from answers. For marketers exploring ChatGPT advertising, that distinction matters.

Why your Google Ads strategy won鈥檛 work here

Here鈥檚 where most marketers will get it wrong.

Google Ads is built around keyword intent. Someone types 鈥淐RM for manufacturing,鈥 and you bid on that phrase. You know what they鈥檙e searching for, and you serve an ad that matches.

ChatGPT works differently. Users have conversations, not searches. They say things like, 鈥淢y sales team keeps losing deals because follow-ups fall through the cracks. What should I do?鈥

That鈥檚 a problem, not a keyword. And that shift changes everything about how ads need to work.

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An infographic comparing Google ads vs. ChatGPT ads.
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On Google, your ad competes for a click. On ChatGPT, your ad appears after the AI has already tried to help. The user is in problem-solving mode, so an ad that feels like an interruption will get ignored. And an ad that feels like an extension of the solution might actually land.

In the grand scheme of things, ChatGPT and Google behave in a contrary fashion. The brands that figure out conversational AI ads first will have a serious head start.

The C.H.A.T. framework for ChatGPT ads

So if Google tactics won鈥檛 work, what will?

The C.H.A.T. framework offers a way for marketers to think about advertising on conversational AI platforms.

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An infographic defining the C.H.A.T framework.
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C = Context-aware

Match the problem being discussed. Your ad should feel relevant to the specific pain point the user just asked about. A generic product pitch won鈥檛 cut it. If someone is asking ChatGPT how to fix their email deliverability issues, an ad for 鈥渆mail marketing software鈥 may lack relevance. An ad that speaks directly to deliverability problems feels like it belongs.

H = Helpful first

Solve, don鈥檛 sell. Lead with value, not features. The user is in problem-solving mode, and the AI just tried to help them. Your ad needs to extend that helpfulness, not interrupt it. Think less 鈥渂uy now鈥 and more 鈥渉ere鈥檚 how we can help with that.鈥

A = Answer-adjacent

Be a natural extension of the AI鈥檚 response. If your ad feels like an interruption, you鈥檝e already lost. The most effective ChatGPT ads will feel like a logical next step after the answer, not a detour from it.

T = Two-way ready

OpenAI said users will soon be able to ask follow-up questions directly within the ad unit. If that rolls out, brands with static landing pages will be at a disadvantage. Prepare conversational responses, not just one-way pitches. Create interactive demos or landing pages built for dialogue.

Early reactions to ChatGPT ads from marketers

ChatGPT ads haven鈥檛 launched yet, but PPC professionals are already weighing in. The reactions range from skeptical to cautiously optimistic.

The optimist

Some marketers see this as a major opportunity. A new ad channel with 800 million weekly users doesn鈥檛 come around often, and early movers on platforms like Facebook ads and TikTok ads were rewarded for testing before the competition caught on.

The skeptic鈥檚 view

Others aren鈥檛 convinced. They raised concerns about ChatGPT users being in research mode, not buying mode. According to them, users are mostly asking questions, exploring options, and learning, and that鈥檚 a completely different mindset than someone typing 鈥渂uy running shoes鈥 into Google.

The pragmatic tester

Then there are marketers taking a test-and-measure approach. They鈥檒l experiment, but with guardrails. Limited budget, clear performance benchmarks, and a willingness to stop campaigns if the numbers don鈥檛 add up.

Reading between the lines

The jury鈥檚 still out. But one theme is clear across all these reactions. Treating ChatGPT advertising like search ads will likely deplete budgets before results show up. Forward-looking marketers are building a new approach from scratch.

What marketers should do now

ChatGPT ads aren鈥檛 live yet, but that doesn鈥檛 mean you should wait. Here鈥檚 how to get ahead before the platform opens up.

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An illustration showing example of ideal display for ads in a platform when it opens up.
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Audit your ad creative

Look at your current Google ads and Meta ads. Are they keyword-led or problem-led? If your copy focuses on features and product names, start testing versions that lead with the pain point instead.

Test your brand in ChatGPT

Open ChatGPT and ask it questions about your category. Are you mentioned? How does the AI describe your product or competitors? This gives you a baseline for how your brand shows up in conversational AI before ads even enter the picture.

Build conversational landing pages

Static pages with a form and a headline may be less effective if users expect to ask follow-up questions. Consider adding chatbot flows or FAQ sections that mirror how people ask questions in chat.

Set aside a test budget

When ChatGPT ads open up, the brands that learn fastest will set the pace. Set aside a small portion of your paid media budget for early experimentation. Treat it like you would any new ad channel. Test, measure, iterate.

Track AI referral traffic now

Set up UTM tracking and create a segment in your analytics to track AI traffic coming from ChatGPT, Perplexity, and other AI platforms. You鈥檒l want a baseline before AI ads launch so you can measure incremental lift.

Methodology:

This story was compiled from OpenAI announcements and industry reports.

was produced by and reviewed and distributed by 麻豆原创.


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