Insights · Analysis
ChatGPT Advertising Is Here. Should Businesses Invest?
As advertising becomes available inside AI conversations, business leaders have a new acquisition channel to consider. Whether it should get a share of the marketing budget is another question.
By Eric Wing
Analysis · 8 min read ·
Most companies don't need another advertising channel. They need better returns from the ones they're already paying for. That's worth keeping in mind as OpenAI introduces advertising within ChatGPT.
Businesses can now purchase sponsored placements that appear alongside relevant AI conversations. It's a significant development for digital marketing, particularly as more people use AI to research products, compare services, and make purchasing decisions.
But a new advertising channel isn't automatically a good investment. The more important question is whether ChatGPT can help a company reach prospective customers it isn't reaching effectively today, and whether that attention can turn into profitable business. For companies already investing in Google Ads, SEO, and other acquisition programs, that question deserves a closer look.
How ChatGPT Advertising Works
OpenAI introduced its advertising pilot in early 2026 and has since expanded access through a self-service platform called Ads Manager. Advertisers can create campaigns, establish budgets, select targeting options, and measure performance. Ads appear in clearly labeled placements separate from ChatGPT's responses.
Unlike traditional search advertising, which often begins with a keyword, ChatGPT Ads can use the broader context of a conversation to determine relevance. Someone researching an office relocation, for example, might ask about planning the move, managing downtime, and handling equipment. That conversation could create an opportunity for an ad from a relevant service provider, even if the person hasn't searched for that company's service specifically. Advertisers can provide contextual information about their offerings to help the system recognize these opportunities.
There are limits to what advertisers can influence. They cannot purchase inclusion in ChatGPT's organic answers; sponsored placements are kept separate from the information ChatGPT generates. Advertisers also don't see people's private conversations. OpenAI uses conversational context to determine relevance without sharing that conversation history with the advertiser.
Whether those placements turn into business is what advertisers need to find out.
A Different Point in the Customer's Decision Process
What interests me most about ChatGPT advertising is less the ad format than the possibility of reaching someone while they're still working through a business problem.
Traditional search advertising often performs well when a customer knows what they want. Someone searching for a particular service, product, or supplier may already be preparing to buy. AI conversations can begin considerably earlier. A prospective customer might be comparing approaches, questioning whether an existing solution is adequate, or trying to understand the cost of addressing a problem. They may not even know which type of provider they need.
That's a potentially useful opportunity for advertisers whose offerings fit the situation. It also introduces uncertainty. Someone exploring a problem isn't necessarily ready to buy, and a relevant conversation may reflect genuine commercial interest, casual research, or something in between. For a business with an established sales process, more inquiries aren't particularly helpful if they aren't qualified or don't progress.
Reaching people earlier is only valuable if it improves customer acquisition, and each advertiser will have to measure whether it does.
How Much Does ChatGPT Advertising Cost?
ChatGPT Ads supports impression-based and click-based advertising, along with conversion-optimized campaign options. OpenAI currently lists a minimum daily budget of $25 for campaigns billed in U.S. dollars. Actual costs depend on campaign structure, bidding, relevance, and competition.
Because the platform is new, OpenAI hasn't established broad performance benchmarks that would let advertisers reliably predict results across industries. That makes it difficult to compare ChatGPT advertising with mature channels such as Google Ads before testing. One company might find promising acquisition costs. Another might discover that the audience is too narrow, the traffic doesn't convert, or the available inventory can't support much spending.
There's another consideration for B2B advertisers: ads currently appear only to eligible users on ChatGPT's Free and Go plans, not to subscribers on Plus, Pro, Business, Enterprise, or Edu plans. For companies targeting executives, specialized professionals, or enterprise buyers, that's a real constraint. The availability of advertising doesn't tell us enough about the availability of the right customers.
An Additional Channel Needs to Earn Its Budget
Marketing leaders are already managing competing priorities. The next dollar could go toward improving conversion rates, expanding paid search, strengthening organic visibility, or developing content that supports the sales team. ChatGPT advertising is now another option in that discussion.
I wouldn't recommend shifting a significant portion of an established budget simply because the platform is new. I'd start by examining how the business currently acquires customers and where performance is being constrained. If paid search is producing qualified leads at an acceptable cost, there should be a clear reason for redirecting investment. If acquisition costs are rising, growth has plateaued, or the company is struggling to reach buyers earlier in their evaluation, a new channel may make sense to test.
Even then, the test should answer a business question, not just demonstrate that the company can run ads on ChatGPT. For example:
- Can we reach qualified prospective customers who aren't responding to our existing channels?
- What does it cost to turn that interest into a sales opportunity?
- Does the quality of those opportunities justify continued investment?
A campaign producing inexpensive clicks but few qualified opportunities doesn't become successful because it appeared inside an AI platform.
How ChatGPT Advertising Relates to GEO
Advertising on ChatGPT and appearing in its answers are two separate things.
Generative Engine Optimization (GEO) addresses how AI systems find, understand, and evaluate information about an organization. The work includes improving the clarity, consistency, accessibility, and credibility of the information those systems can use. Neither can substitute for the other.
A business might have strong organic visibility in AI search but see little value from advertising. Another might generate results from paid placements while remaining largely absent from AI-generated recommendations. Both outcomes are possible because different mechanisms are at work.
I'd treat SEO, GEO, and AI advertising as related parts of a company's visibility and acquisition strategy while evaluating each one's contribution separately. The goal is to understand which of these activities make the company more visible to the right customers and, ultimately, generate business.
Start With a Limited Pilot
For an established business, I'd recommend a limited pilot with defined objectives, spending controls, and a practical measurement plan.
Start with a clear understanding of the audience and the situations that lead them to buy. Then build advertising around those needs, making sure the messaging and landing pages fit the customers the company wants to attract. The campaign should have a clear commercial objective, whether that's qualified inquiries, booked consultations, sales opportunities, or direct purchases.
OpenAI provides tools for measuring ad activity and post-click conversions. Those measurements should be connected to the company's CRM or sales reporting wherever possible. The pilot should establish whether the platform can deliver sufficient reach, whether the resulting inquiries are qualified, and how acquisition costs compare with other channels.
It should also have an endpoint. If the results earn more budget, expand deliberately. If the evidence is weak or there isn't enough relevant volume, move on without turning an experiment into another permanent expense.
To make this concrete, consider a hypothetical regional IT services firm that currently generates qualified leads through Google Ads at roughly $400 each. It could cap an eight-week ChatGPT pilot at $2,800, about $50 a day, focused on conversations about network upgrades, security concerns, and office moves. If it spends the full amount, seven qualified leads would match its current $400 cost per lead. Fewer could still be worth it if they turn into larger deals, but the pilot would have to show that. If the campaign produces clicks and no qualified inquiries, the firm has its answer without going over budget.
Where ChatGPT Advertising Fits in the Bigger Picture
The arrival of ChatGPT advertising is part of a broader change in how people encounter information and make decisions online. Search engines remain important. So do company websites, reviews, referrals, industry publications, and the other sources customers consult when evaluating a business. AI is becoming another place where that research happens, sometimes compressing several stages of the process into a single conversation.
Business leaders should pay attention to that, even if ChatGPT ads aren't ready for their budget yet.
At Darby, we evaluate new opportunities within the context of a company's existing marketing performance: what's working, where growth is being limited, and what evidence would make the case for changing direction.
ChatGPT advertising is worth watching and, for some companies, worth testing. Whether it becomes a lasting acquisition channel will depend on the same thing that should determine every marketing investment: its contribution to the business.
Know Your Numbers Before You Test
Before committing budget to a new channel, it helps to know what your current channels actually cost per qualified opportunity. Darby can work out what each of your channels costs per qualified opportunity, and what a new channel would have to deliver to beat them.
Benchmark Your Acquisition Costs
By Eric Wing | Darby Insights |
Platform details are based on OpenAI's advertiser documentation as of October 19, 2026. Features, availability, and pricing may change.
References: OpenAI — Ads in ChatGPT: The Basics · OpenAI — Campaign Setup · OpenAI — Advertising FAQs
