We were recently accepted into the beta testing program for the GPT Ads platform and have already begun offering this service in the U.S. market, as well as managing GPT advertising campaigns for our clients.
At the moment, all client-related details are protected under strict NDAs, so we cannot share specific campaign data or results. However, we are allowed to discuss the platform itself and provide an overview of how it works.
In this article, we'll walk you through the GPT Ads dashboard, explain its key features, and show you what targeting options are currently available to advertisers.
To apply for access to the advertising platform, you must:
https://help.openai.com/ru-ru/articles/20001213-ads-manager-beta-account-setup
Simply follow the instructions provided during the application process.
Once your account is approved and you gain access to the platform, the first thing you'll see is a welcome screen introducing the GPT Ads ecosystem and its core features.
After the welcome screen, the platform immediately prompts you to create your first advertising campaign, just as most modern advertising platforms do.
The account structure follows the standard three-level hierarchy:
The setup is familiar and intuitive for anyone who has previously worked with platforms such as Google Ads, Meta Ads, LinkedIn Ads, or other digital advertising systems. Campaigns contain ad groups, and ad groups contain individual ads, making it easy to organize targeting, budgets, and creatives at different levels.
At the Campaign level, advertisers select the campaign objective, set a daily budget, and assign a campaign name.
Currently, the platform supports both CPM (Cost Per Mille) and CPC (Cost Per Click) bidding models. In addition, the interface indicates that conversion-based bidding and payment options are already in development and are expected to be released in a future update.
This gives advertisers the flexibility to optimize campaigns for reach, engagement, or traffic today, while preparing for more performance-focused conversion campaigns in the near future.
The minimum daily advertising budget currently allowed on the platform is $25 per day.
This relatively low entry threshold makes the platform accessible to both small businesses and larger advertisers looking to test new campaigns, audiences, and creative approaches without committing to a significant upfront budget.
In practice, this means that if you don't have at least $800 per month available for advertising, this platform is probably not the right fit for you yet.
That said, this isn't unique to GPT Ads. In reality, if your monthly advertising budget is below $1,000, it's difficult to generate meaningful data and achieve consistent results on almost any major advertising platform. Successful optimization requires enough budget to gather statistically significant performance data and allow algorithms to learn effectively.
The next level in the account structure is the Ad Group.
At this stage, you assign an ad group name, set your target maximum cost per conversion, and define the keywords that will be used for targeting. The keyword setup is very similar to what advertisers are already familiar with in traditional search advertising platforms, allowing campaigns to be aligned with specific user intents and search behaviors.
Interestingly, the platform does not currently enforce a minimum bid for clicks.
Advertisers are free to set virtually any CPC bid they want, including bids as low as $0.10 per click. Of course, whether ads actually receive impressions and traffic at such a low bid will depend on competition, audience demand, and the platform's auction dynamics.
As with any advertising system, lower bids may limit delivery, while more competitive bids are generally more likely to secure impressions and clicks within the desired audience segments.
However, the platform's traffic estimator quickly brings expectations back to reality.
While you can technically enter a bid of $0.10 per click, the forecasting tool suggests that meaningful delivery is unlikely at that level. Based on the current estimates, advertisers begin to see a realistic chance of receiving impressions and traffic when bids approach approximately $3 per click.
Of course, actual CPCs will vary depending on the audience, keyword competitiveness, and market conditions, but the estimator provides a useful indication of the bid levels currently required to compete effectively in the auction.
Interestingly, contextual prompts and keyword targeting are not mandatory.
The platform explicitly states that advertisers can launch campaigns without providing any keywords or contextual signals at all. This suggests that GPT Ads is capable of using its own contextual understanding and audience-matching systems to determine when and where an advertisement is relevant.
For advertisers, this creates two possible approaches: a more traditional strategy that relies on carefully selected keywords and contextual prompts, and a more AI-driven approach that allows the platform's algorithms to identify relevant opportunities automatically.
That said, keywords and contextual prompts are still strongly recommended.
The underlying assumption is that the AI can determine on its own which users are most likely to be interested in your offer. However, the phrases you provide are treated as guidance rather than strict targeting rules. In other words, they help steer the system but do not dictate exactly when an ad will be shown.
For this reason, it's generally a good idea to provide relevant keywords and contextual signals. Doing so helps the AI better understand the types of conversations, questions, and topics where your advertisement is most likely to be useful and relevant.
At the Ad level, advertisers can upload a company logo, create a headline, and write a short advertising message.
The current creative specifications are:
The ad format is intentionally simple, focusing on concise messaging that can be displayed naturally within the user experience without disrupting the flow of conversation.
Once the ad creative is completed, the platform provides a preview showing exactly how the advertisement will appear to users.
This preview allows advertisers to review the layout, branding, headline, and description before launching the campaign. It's a useful final check to ensure that the messaging is clear, the logo displays correctly, and the overall presentation aligns with the brand's expectations.
As with most modern advertising platforms, reviewing the preview before publication can help catch formatting issues and improve the effectiveness of the final ad.
At this point, the campaign setup process is essentially complete.
Before the campaign can be submitted, the platform presents a final review screen where all settings can be verified. Advertisers have an opportunity to review the campaign structure, budget, bidding settings, targeting inputs, and ad creatives to ensure everything is configured correctly.
Once the information has been reviewed and confirmed, the campaign can be submitted for approval and activation.
If everything looks correct, the final step is straightforward.
Simply add a payment method, provide your company information, complete the business verification process, and you're ready to launch your advertising campaigns.
Like most modern advertising platforms, GPT Ads requires advertisers to verify their business identity before running ads. Once the verification process is complete and billing information has been added, campaigns can be activated and begin delivering traffic immediately.
Once your campaigns are live, you'll have access to a standard performance dashboard where you can monitor campaign results in real time.
The dashboard provides key advertising metrics and reporting tools, allowing advertisers to track performance, analyze trends, and evaluate campaign effectiveness. From a reporting perspective, the interface will feel familiar to anyone who has previously used platforms such as Google Ads, Meta Ads, or LinkedIn Ads.
This centralized view makes it easy to monitor spending, assess traffic quality, and identify opportunities for further optimization as campaigns accumulate data.
In addition to standard reporting, the platform includes an AI-powered analytics feature.
By selecting the appropriate option from the context menu, advertisers can ask the AI to analyze campaign performance and provide insights based on the available data.
Rather than manually reviewing dozens of metrics and reports, users can receive plain-language explanations of campaign trends, potential issues, and optimization opportunities. The AI can help identify patterns in performance, highlight areas for improvement, and suggest actions that may improve results.
This feature makes campaign analysis significantly more accessible, especially for advertisers who may not have extensive experience interpreting advertising data.
As you would expect from a modern advertising platform, GPT Ads also supports conversion tracking through a tracking pixel.
Advertisers can connect their pixel directly to the platform, track user actions, and send conversion data back to the system for measurement and optimization purposes.
This allows businesses to monitor key events such as purchases, lead submissions, registrations, and other valuable actions taking place on their website. By feeding conversion data back into the platform, advertisers gain more accurate performance reporting and lay the groundwork for future conversion-focused bidding strategies as those features become available.
The conversion tracking section is organized into three main tabs.
The first tab contains your data sources, where tracking integrations are configured and managed. The second tab displays recorded conversion events, allowing advertisers to monitor the actions being tracked. The third tab provides an event stream, offering a real-time view of incoming tracking data and user activity.
Even at this early stage, the platform already supports multiple data source types. Advertisers can connect a website, an iOS application, or an Android application and use them as conversion data sources for measurement and optimization.
This flexibility allows businesses to track user journeys across both web and mobile environments, creating a more complete picture of campaign performance.
For a detailed guide on setting up conversion tracking, implementing the Measurement API, or installing the tracking pixel, you can refer to the official documentation:
https://developers.openai.com/ads/measurement-pixel
The platform also supports Product Feeds, making it possible to manage and advertise product catalogs at scale.
To create a Product Feed, simply click Create Feed, assign a name to the feed, select the currency used for your product catalog, and complete the creation process. Once configured, the feed can be used to synchronize product information with the platform and support product-based advertising campaigns.
After creating the feed, the next step is to configure and connect it to your product data source.
During the setup process, you'll define how product information is imported, mapped, and updated within the platform. This ensures that key attributes such as product titles, descriptions, pricing, availability, images, and other catalog data are synchronized correctly.
Once the feed is connected and validated, the platform can automatically use the latest product information in your advertising campaigns, helping ensure that ads remain accurate and up to date as your catalog changes.
During the setup process, you will be provided with a set of structured data fields required to connect and configure your product feed.
These typically include the essential attributes needed to map your catalog correctly within the platform, ensuring that all product information is properly interpreted and synchronized.
Once these parameters are supplied, the system uses them to align your external product data with the internal feed structure, enabling accurate and consistent data delivery across your advertising campaigns.
You will be provided with a set of required inputs, including your website and development experience details. This completes the main configuration instructions.
Authentication can be set up using either a password or an SSH key, depending on your preferred security setup.
Once the product feed is fully configured, it can be used for product advertising, including dynamic product carousels directly inside GPT-based chat experiences.
If the feed has been successfully added, your products will automatically appear in the Products section of the platform, where they can be managed, tracked, and used across your advertising campaigns.
Overall, this is already a fully functional advertising platform that enables brands to run ads directly within a neural network environment. And this is just the first iteration.
More platforms like this will inevitably follow, along with aggregated systems that allow advertisers to manage campaigns across multiple AI networks from a single interface, as well as agency-level dashboards and advanced management tools.
At this point, it’s becoming clear that neural networks are no longer limited to GEO, AEO, or AI search based on pre-indexed data. They are evolving into a fully-fledged advertising placement channel with its own native ad ecosystem and dedicated management tools.
Looking ahead, we can reasonably expect new capabilities such as richer creative formats, long-form content placements (including full articles), and potentially premium ad inventory options — for example, featured placements at the top of chat interfaces or paid mechanisms that influence how answers are framed in response to specific types of user queries.
If you want to be among the first to test PPC performance within the GPT Ads platform, simply submit an application on our website.
We’re currently offering a special promotion for advertisers who are looking to explore and test this new traffic channel early.
Full details will be shared during a strategy call, where we’ll walk you through the opportunity and help determine whether this channel is a fit for your business.
Q1: Who can register for a GPT Ads account?
A: Currently, only registered business entities are eligible. Individual applicants cannot apply at this time.
Q2: What is the minimum daily budget on GPT Ads?
A: The minimum daily budget is $25 per day, which translates to approximately $800 per month.
Q3: What bidding models are available?
A: The platform currently supports CPM (Cost Per Mille) and CPC (Cost Per Click) bidding. Conversion-based bidding is in development and expected in a future update.
Q4: Is there a minimum CPC bid requirement?
A: There is no enforced minimum bid — you can set bids as low as $0.10. However, the traffic estimator suggests that realistic delivery typically begins around $3 per click, depending on competition.
Q5: Are keywords required for targeting?
A: No. Keywords and contextual prompts are optional. The platform can use its own AI to determine ad relevance. However, providing keywords is strongly recommended to guide the algorithm more effectively.
Q6: What are the ad creative specifications?
A: Headline: up to 50 characters. Description: up to 100 characters. Logo: square (1:1), minimum 256 × 256 px.
Q7: Does GPT Ads support conversion tracking?
A: Yes. Advertisers can install a tracking pixel to monitor conversions such as purchases, leads, and registrations, and feed that data back into the platform.
Q8: How long does it take to get account approval?
A: Approval timelines may vary. After submitting your application and completing business verification, you'll receive access once your account is reviewed and approved by the platform.
Q9: Can I use GPT Ads for markets outside the United States?
A: The platform is currently available for the U.S. market. Expansion to other regions has not been officially announced yet.
Q10: How does GPT Ads compare to Google Ads or Meta Ads?
A: GPT Ads follows a familiar three-level campaign structure (Campaign → Ad Group → Ads) and offers similar reporting tools. The key difference is its AI-driven contextual targeting within conversational environments, rather than traditional search or social feeds.