OpenAI Officially Entered the Ads Market
OpenAI has launched Ads Manager Beta, a self-serve platform that lets advertisers run ads directly inside ChatGPT conversations.
I got access and tested the entire workflow myself, from account setup to campaign creation, conversion tracking, context targeting, and ad previews inside ChatGPT.
And honestly? This is much bigger than “another ads platform.”
This feels like the beginning of conversational advertising becoming a real acquisition channel, and one that SEO professionals especially need to pay attention to.
In this article, I’ll walk through the full ChatGPT Ads setup process step by step and share my observations from testing the platform firsthand.
What Are ChatGPT Ads?
ChatGPT Ads are ads displayed directly below relevant ChatGPT conversations.
According to OpenAI, ads are currently shown only to Free and Go users in:
- United States
- Canada
- Australia
- New Zealand
Ads are not shown to Plus, Pro, or Business plan users, or anyone under 18.
Each ad unit currently includes:
- Advertiser name
- Logo / favicon
- Headline
- Description
- Landing page
- Image creative
Unlike traditional display ads, ChatGPT Ads appear inside an active conversational experience, while users are already researching, comparing, or making decisions.
That changes the psychology of advertising quite a lot.
Step 1: Set Up Your OpenAI Ads Manager Account
Go to ads.openai.com. You need an existing OpenAI account, or you can create one during the sign-up flow.
During onboarding you’ll set your currency and timezone — and here’s something worth paying attention to: these settings can’t be changed later, so configure carefully.
You’ll also choose your advertiser type:
- Individual: if you’re running ads for yourself personally.
- Business: if you’re advertising for a company.
Then it asks: is your business an agency?
This is where it gets interesting for anyone who manages clients. If you select “Yes, I act on behalf of other organizations & clients”. Here, OpenAI immediately flags that you can’t create an advertiser account for a client directly. Each client needs to create their own account first, then add you as a team member.
So if you’re an agency or freelance SEO managing multiple clients, the workflow is:
Client creates their own account → adds you as a team member → you manage from there.
After completing onboarding, go to Settings → Account Info and confirm your account name and logo look exactly how you want them to appear in the ad unit. Ads won’t serve until this is done.
Then set up billing. Create a billing profile and add a payment method. No billing, no delivery.
Step 2: Choose Your Campaign Objective and Pricing
The campaign structure in OpenAI Ads Manager follows a familiar pattern:
Campaign → Ad Group → Ad
At campaign level you configure: campaign name, objective, locations, budget, dates and conversion events.
In my test, I selected the Clicks objective.
That pricing immediately signals that OpenAI is positioning ChatGPT Ads as a premium, high-intent channel rather than a cheap traffic inventory. And that makes sense. People inside ChatGPT are often already in research or decision-making mode.
Step 3: Set Up Conversion Tracking
Before launching, configure your conversion events inside Ads Manager Beta.
Available standard conversion events include:
- appointment_scheduled
- checkout_started
- contents_viewed
- items_added
- lead_created
- order_created
- page_viewed
- registration_completed
- subscription_created
- trial_started
- custom events
For my test campaign I used lead_created.
You can also add UTM parameters to your landing page URLs to track ChatGPT Ads traffic inside Google Analytics or any other analytics tool you already use.
Step 4: Connect a Data Source and Install the Pixel
To track conversions, Ads Manager Beta requires connecting a data source.
Supported types: Web (iOS & Android are coming soon)
For my test I connected a web data source. After setup, OpenAI provides a tracking pixel to add to your website header, similar to Meta Pixel or Google Ads conversion tag.
This step matters more than it looks. More on why in the next section.
Step 5: Create Your Ad Group and Write Context Hints
This is the most interesting and the most different part of the entire system.
Instead of traditional keyword targeting, OpenAI Ads Manager uses Context Hints.
Advertisers describe the types of conversations where their ads may be relevant. For my campaign I added hints around: SEO, website traffic, lead generation, business growth, online visibility, businesses in Georgia.
But here’s the important part OpenAI makes very clear:
Context hints are not exact-match keywords. They do not guarantee your ad will appear for specific conversations.
They’re recommendation signals and the system uses them as guidance, not rules.
Compared to Google Ads keyword targeting, this feels significantly more probabilistic. At first that creates uncertainty. But what makes this more interesting is the pixel and data source connection.
To me, this suggests OpenAI will eventually optimize delivery based on:
- behavioral signals
- engagement patterns
- conversion data
- landing page relevance
- user interaction history
Rather than strict keyword matching. In other words, the system may gradually learn which conversations actually perform for your business — and optimize toward those automatically.
If that’s the direction, then landing page quality, topical relevance, semantic clarity and real conversion signals will matter far more than keyword lists ever did.
That’s a fundamentally different philosophy from classic search advertising.
Step 6: Create Your Ad Creative
Ad creation inside OpenAI Ads Manager is straightforward.
Each ad includes: headline, description, landing page URL, image creative and advertiser branding.
What stood out immediately is how native the ad preview feels inside ChatGPT. It doesn’t look like a banner ad. It looks much closer to a contextual recommendation inserted naturally into the conversation.
That means generic marketing copy will probably struggle here. People inside ChatGPT are trying to solve something specific. Ad relevance and usefulness will matter more than flashy copy.
For image creative: use a square image, minimum 256×256px. If you’re running a personal brand, a professional headshot tends to outperform a logo.
Step 7: Launch and Monitor Performance
After approval, campaigns appear in the main Ads Manager dashboard with separate views for Campaigns, Ad Groups, Ads and Products.
Available performance metrics:
- Impressions
- Clicks
- Conversions
- Spend
- CTR
- Avg CPC
- Avg CPM
There’s also a Metric Trends section for visualizing performance over time, plus CSV export for daily or cumulative data.
Compared to Google Ads or Meta, reporting is still lightweight, but for a beta product, the foundation is solid.
Why ChatGPT Ads Matter for SEO
This is where it gets especially relevant for SEO professionals.
ChatGPT Ads aren’t just another ad platform. They represent a shift from keyword intent to conversational intent.
As AI assistants become primary discovery engines, brands will need to optimize not just for Google rankings but for:
- AI relevance
- conversational clarity
- semantic authority
- contextual usefulness
And if ad delivery eventually optimizes based on engagement and conversion behavior rather than exact keywords, then SEO, CRO, UX and paid advertising become far more interconnected than they’ve ever been.
Most people are underestimating this shift right now.
My Final Thoughts on OpenAI Ads Manager Beta
The platform is still early. Current limitations are real:
- Only available in US, Canada, Australia and New Zealand
- No Georgian targeting yet
- Limited audience controls
- Lightweight reporting
- Beta-stage workflows
But the direction is very clear.
Advertising is moving from search boxes and social feeds into conversations. And if ChatGPT keeps growing as a research and decision-making platform, appearing naturally inside those conversational journeys will become a real acquisition channel.
For SEO professionals, this is something worth watching very closely.
Because the line between SEO, AI visibility, contextual relevance and paid advertising is starting to blur — fast.