Should You Advertise on ChatGPT Yet? An Honest Take

A question worth answering honestly

We sell ChatGPT Ads management, so treat this with appropriate skepticism. We have tried to earn it by being specific about when the answer is no, because for a lot of businesses reading this, it is.

The case for moving now

Early auctions are structurally cheaper. Not because platforms are generous, but because demand has not caught up with inventory. Most local and mid-market advertisers have not moved on ChatGPT Ads yet, which means less competition for the same conversations.

The second argument is about learning rather than cost. The businesses that understood Google Ads early, or Facebook early, kept an advantage long after the channels got expensive, because they had months of accumulated operational knowledge their competitors did not. That advantage is available again right now, and it has an expiry date.

The case for waiting

The reach is genuinely limited. Ads serve only to Free and ChatGPT Go tier users in a handful of countries, and paid subscribers never see them. If your buyers skew toward people who pay for their tools, a meaningful share of your market is simply not reachable this way today.

There are also no trustworthy benchmarks. The channel is in beta, and cost data drawn from a thin, uncrowded auction will not survive contact with a crowded one. You are running an experiment, and you should fund it like one.

And if your fundamentals are not in place — if your site does not convert, your tracking is broken, or your Google account is neglected — a new channel will not fix that. It will just add a second place to lose money.

A straightforward decision rule

Test it now if your existing paid search is working and measured, you can fund a contained test that does not weaken it, you sell something people research conversationally, and you are willing to give it a real sample before judging.

Wait if your fundamentals are shaky, your total budget is small enough that splitting it would hurt what already works, your category faces prohibition or strict review, or you need this quarter’s pipeline to come from it. A beta channel is a poor place to put pressure.

If you do test it, do this

• Fund it separately. Incremental budget, not a reallocation from a channel that is producing.
• Start narrow. A few tightly defined intent categories beat a broad net, especially while you are learning what converts.
• Write for the conversation. Ads are reviewed for whether they add genuine value, and promotional language gets flagged. Useful beats loud.
• Instrument properly. Disciplined UTM tagging and an attribution model that is not last-click, or you will misread the results.
• Set a decision date. Agree in advance what you need to see and when you will judge it, so the call is made on data rather than on enthusiasm or fatigue.

The part most people miss

Paid placement inside AI is only half of the shelf. The other half is being the business the assistant recommends on its own, which is earned rather than bought and does not stop working when you pause spend. Doing only the paid half means renting a position you could be building.

If you are going to pay attention to AI as a channel at all, look at both. That is the whole argument.