Why You’re Hearing About This Now
OpenAI just opened a self-serve ads manager with CPC bidding and conversion tracking. Which means the “how to advertise on ChatGPT” question just went from theoretical to something you might actually do next Tuesday. Most of the coverage is either breathless hype or enterprise-focused. Neither is useful if you’re running a real business with a real budget you can’t afford to set on fire.
ChatGPT advertising is a distinct channel with different user intent, different format requirements, and no reliable benchmarks yet. It’s not Google, it’s not Facebook, and your existing ad copy almost certainly won’t work. If you understand those three things before you spend anything, you’re already ahead of most people jumping in right now. That bar is lower than it sounds.
ChatGPT Users Are Thinking, Not Shopping
When someone searches Google for “best project management software,” they’re ready to click, compare, and possibly buy within the hour. When someone asks ChatGPT the same question, they’re in a different mode entirely. They want an explanation. They’ll follow up with three more questions. They’re learning, not shopping.
That distinction matters more than anything else about this platform. Conversational advertising lives or dies on whether your message fits the mindset of someone mid-exploration. The hard-sell copy that pulls decent numbers on Facebook will land like a sales pitch at a library. Nobody asked for it, and the context makes it worse.
The format differences follow from this. ChatGPT’s sponsored results appear within or adjacent to conversational responses, not alongside a list of blue links. There’s no banner. There’s no scroll. The user is reading, and your ad either fits that experience or it doesn’t. A user asking “how do I improve my sales process” is not asking to be sold software. They’re asking to understand something. Respond to what they actually asked.
Google’s search ads average 2–3% CTR on established campaigns. Facebook and Instagram sit around 0.5–1%. ChatGPT has no published benchmarks yet. Anyone quoting you a number is making it up. Use those figures as context for how new this really is, not as targets to hit.
How You Actually Get Seen on ChatGPT
“Advertising on ChatGPT” isn’t one thing. It’s currently at least three different paths, and they have very different requirements.
Plugin integration: If your product or service is integrated as a ChatGPT plugin, you show up when the model decides you’re relevant to a conversation. This isn’t advertising in the traditional sense. It’s closer to SEO for an AI assistant, except that phrase makes it sound simpler than it is. It requires engineering work. A 5-person B2B SaaS team might discover that showing up when users ask “what’s the best project management tool” requires a plugin their dev team doesn’t have capacity to build. Visibility here depends on infrastructure, not budget.
Self-serve ads manager: CPC bidding with conversion tracking. You bid on queries, set a budget, pay per click. It maps to how you probably already think about paid search. This is the most accessible option for most small businesses and the one worth your attention right now.
Enterprise integration: Custom arrangements with OpenAI. Not relevant to most readers.
There are roughly 300–500 actively integrated plugins as of mid-2024, mostly vertical SaaS and specialized services. That’s a useful number to hold in your head: you’re not buying a single ad placement. You’re navigating multiple surfaces that behave differently, in an ecosystem that’s still being assembled while people are already spending money in it.
Who Should Care Right Now (And Who Should Wait)
B2B SaaS companies with a defined ICP that maps to ChatGPT’s user base have the clearest early case. If your buyers are technical, curious, research-oriented people who already use ChatGPT to evaluate tools, your audience is there. Same logic applies to professional services, niche consultants, and anyone selling something where the buying process involves a lot of questions before a decision: career coaches, financial advisors, specialized agencies. The common thread is that your buyer thinks before they buy, and they’re probably thinking with ChatGPT already.
Local businesses should mostly wait. The platform hasn’t rolled out location-based consumer ad formats yet. Spending money now to reach people who can’t hire you geographically is a very expensive way to learn something you already knew.
E-commerce with broad, impulse-friendly products should also wait. Someone asking ChatGPT for gift ideas is in a different headspace than someone scrolling Instagram. The conversion path is longer and murkier than what you’re used to.
For most small businesses, the honest answer is: pay attention, don’t spend yet. That changes once performance data starts circulating, probably 6–12 months out. The guide to emerging marketing channels for small business covers the framework worth using before you open your wallet.
Your Google Ads Budget Math Doesn’t Work Here
OpenAI tested CPM, CPC, and revenue-share models during development. The self-serve tool uses CPC. What CPC actually means on a new platform with no established auction competition is genuinely unknown. Early adopters sometimes see favorable rates because there are fewer bidders. Sometimes they see inflated rates because the platform sets floors. Both have happened on emerging ad platforms. You don’t know which you’re getting until you test, which is a polite way of saying your first campaign is partly a donation.
Do not set your initial budget based on your Google Ads history. Your Google CPC reflects years of auction data, competition, quality scores, and bid adjustments. Your ChatGPT CPC is a blank piece of paper. A solo consultant who spent $500 assuming the platform would filter for their specific professional niche the way Google does with keyword intent got no leads and quit. The platform wasn’t broken. The expectation was wrong.
If you’re going to test: start with something you can genuinely afford to lose. Not “afford to lose and hope it works.” Genuinely afford to lose and learn something. Think $200–300 for an initial experiment with a defined hypothesis. Not $1,000 on a hunch. Your first spend is tuition, not investment.
Your cost-per-lead math doesn’t transfer either. A service business used to tracking CPL on Google Ads has no comparable metric for ChatGPT yet. Build that expectation in before you start, or you’ll declare the test a failure based on criteria that don’t apply to the channel. Deciding a new platform doesn’t work because it performed like a new platform is roughly as useful as being surprised your car doesn’t float.
Three Setup Mistakes Most Early Adopters Will Make
Copy that sells instead of helps. ChatGPT users are mid-thought. An ad that interrupts with a promotional pitch is about as welcome as a timeshare presentation at a funeral. Educational, useful framing tests better. Lead with what you solve, not what you’re offering. There’s a meaningful difference, and on this platform it’s the difference between a click and a scroll.
Skipping the plugin question. If your category is one where plugin integration affects visibility and you’re only buying CPC ads, you might be paying to show up in places your competitors with plugin integrations are already appearing organically. You can still run ads without a plugin, but understand what surface you’re actually buying before you bid on it.
Broad targeting without a test structure. ChatGPT’s audience segmentation in self-serve is still limited. You don’t know yet how granular you can actually get. Running one broad campaign for 30 days with no variation tells you almost nothing useful. Set up at least two ad variations with different framings, give each enough budget to collect data, and decide in advance what “working” means before you start spending. The guide to testing new advertising platforms without burning budget covers the specifics.
Should You Wait?
There’s a version of this article that would end with “get in early, first-mover advantage.” That version would be wrong. Early Facebook and Google Ads rewarded adopters primarily because the platforms were underpriced relative to their reach and targeting was already functional. ChatGPT has 200M+ weekly active users, but the targeting, benchmarks, and conversion infrastructure are still being built. Being first in an unbuilt system isn’t an advantage. It’s just expensive.
That said, there’s a case for testing small right now if you’re in one of the business types above and you have a clear hypothesis. Not “let’s try ChatGPT ads” but “let’s test whether educational copy about X problem converts at a useful rate for our audience.” Specific question, small budget, defined success criteria. That’s a test. Everything else is a guess dressed up as a strategy.
If you’re feeling impatient, you’ll overspend. The FOMO on new ad platforms is real, and it’s expensive. The businesses that got burned in the early days of every new channel weren’t doing anything wrong except arriving before the floor was built.
If you’re watching from the sidelines: you’re probably making the right call. Set a calendar reminder for six months out, check what performance data has surfaced by then, and reassess. The platform will still be there. The early adopter window, if it materializes, will still have months left.
The honest framework: curious and in a relevant category, test small with $200–300 and a real hypothesis. Impatient and treating this like Google Ads, wait. Watching and not sure, keep watching. The platform isn’t going anywhere, and neither is your competitive opportunity once the data exists to act on it.
Jon Skalski covers AI automation, workflow tools, and practical technology for small business owners. He runs PulseOps, helping SMBs cut the manual work out of their operations.
