OpenAI ADS
Ad auctions are overheated. ChatGPT is still uncrowded. Pixel and campaigns live in 3-5 days. AI holds your cost per lead 24/7.
Ads inside ChatGPT: leads before the auction heats up
No slide decks and reports: a working stack built for your task.
Spend and cost-per-lead report, no manual routine
We set up the pixel, map events to your leads and launch inside ChatGPT. Then AI runs the routine: bids and ad combos adjusted every few minutes, not once a week. While competition is low, clicks stay cheap and leads cost less than in crowded channels.
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AI works non-stop
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channels and platforms
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growth directions
From pixel setup to ChatGPT leads
Pixel and events
Campaign launch
AI management and reporting
How AI keeps your cost per lead down in ChatGPT
Audience building and cleaning
Background combo testing
Burned-out creatives cut fast
Scaling what brings leads
Bid updates every few minutes
Why choose us Four reasons
an AI-unit stack
outruns
manual marketing.
Launch in days
The stack is assembled and live in days, not months of approvals.
Transparent metrics
You see the cost per action and exactly what the AI does. No black boxes.
Human-like behavior
Human-paced emulation instead of raw APIs: accounts live longer.
Humans in charge
People set the strategy and the meaning. AI takes the routine, decisions stay with you.
What clients say
Reviews from working with neurounits on specific growth jobs.
Artem K.
Marina L.
Dmitry S.
Frequently asked questions
01. How do you keep the cost per action from climbing?
The AI watches every campaign minute by minute, not once a day. It shifts spend to the ad sets that convert, drops the creatives that burned out and adjusts bids in real time. That is why your cost per action holds instead of rising toward the end of the budget cycle.
02. Which channels do you run and how do we pay?
Two channels: Telegram ADS and OpenAI ADS. You keep your own ad accounts and fund the media budget directly, so the ad spend is transparent and stays in your name. You pay Neurounit for running and optimizing the campaigns on top of that.
03. When do the first results show up?
Launch takes a few days: we connect the accounts, set the target action and ship the first creative batch. From there the AI needs a short learning window to find what converts, then it keeps reallocating budget daily. You see live numbers by channel, ad set and creative from day one.
04. What is OpenAI ADS and how is it different from Google or Meta ads?
OpenAI ADS places advertising inside the ChatGPT ecosystem. The difference is intent. On Google a person types a query. In ChatGPT they describe a problem in full sentences, often mid-decision. You reach buyers while they are still comparing options, not after they already know what to search for. Fewer advertisers are in the channel, so competition is thinner right now.
05. How does Neurounit set up an OpenAI ADS campaign?
We start with the technical layer: the OpenAI pixel on your site, plus conversion events that match real business actions like a lead form, a checkout or a demo booking. Then we build the campaign structure, audiences and creatives. AI agents handle the routine work of generating variants and rotating them. You approve the messaging before anything goes live.
06. What do I get and how is the work priced?
You get pixel and event setup, campaign build, ad creatives, ongoing optimization and a reporting dashboard tied to your real conversions. Ad budget is separate and stays on your own account, so you keep full control of the money. Pricing depends on the number of campaigns and markets. We quote a fixed monthly fee after a short scoping call.
07. Does advertising in ChatGPT work for B2B and high-ticket offers?
It fits them well. People use ChatGPT to research vendors, compare tools and draft requirements, which is exactly where a considered purchase begins. Long sales cycles need the pixel and events wired correctly so you can attribute a deal that closes weeks later. We configure that from the start instead of judging the channel on last-click data alone.
08. What are the risks of running ads in a new channel like this?
The main risk is spending on a channel with less historical data than Google or Meta. We manage it by starting small, validating that events fire correctly, and scaling only what produces qualified leads. The second risk is inventory: reach in the ChatGPT ecosystem is still growing. That is also the upside, because costs rise once the channel gets crowded.