Advertising on ChatGPT: how small and midsize businesses can use this new customer acquisition channel

For small and midsize businesses, this is an opportunity to present an offer while someone is discussing a need and comparing options—for example, choosing a training course or looking for a service provider. However, the emergence of a new advertising platform does not guarantee sales. How can you assess the channel’s potential and prepare to test it?

Ads appear below ChatGPT’s responses, separate from the main content and clearly labeled as advertising. They may be shown to users on the Free and Go plans in regions where advertising is available. Ads are not shown on Plus, Pro, Business, Enterprise, or Edu plans. Ad delivery is also restricted for accounts identified as belonging to minors.

When selecting ads, the system considers the context and intent of the current conversation, along with the ad content and its landing page. Advertisers can provide contextual hints describing the topics and situations in which their offers may be relevant. These hints help guide ad selection but do not guarantee placement in specific conversations.

Advertisers do not influence the assistant’s responses and cannot access users’ private conversations, chat histories, or memories. In other words, a company pays for ad placement, not for a recommendation within a specific response. The practical value of this format depends on how relevant the offer is to the user.

For a small business, this advertising format offers an opportunity to introduce its brand while a potential customer is discussing a specific need. The offer appears in a relevant context, making it easier to explain its value.

Imagine an online store that sells ergonomic furniture. Someone is discussing how to set up a workspace in a small apartment. An ad for a compact desk introduces an unfamiliar brand by connecting its product to a specific need.

An educational business could tailor its offer to people preparing for an English-language job interview. This makes it easier to demonstrate the course’s value than with a generic message such as “Learn a new language.” For a B2B service provider, a similar scenario might involve offering accounting services to someone exploring different ways to manage their company's finances.

These are illustrative scenarios, not verified campaign results. Contextual relevance creates an opportunity to connect with potential customers, but lead quality still needs to be evaluated. For an initial test, choose one customer need and develop a clear offer that addresses it.

Preparation starts with checking eligibility requirements and advertising policies for your specific offer. Next, create an Ads Manager account, set up a billing profile, add a payment method, and complete account verification. Ads must pass moderation before they can be displayed.

For your campaign, define the objective, budget, and geographic targeting. Prepare a headline, description, image, and landing page. Advertisers can choose to pay per thousand ad impressions (CPM) or per click counted as valid by the system (CPC). You can also optimize for conversions, directing ad delivery toward a desired action, such as submitting a form. However, even with conversion optimization, you pay for clicks or impressions—not for the leads generated.

According to OpenAI’s campaign creation guidelines, as of October 2026, the minimum daily campaign budget for accounts billed in U.S. dollars is $25. The daily budget is averaged over a week, so spending on an individual day may reach twice that amount. A lifetime campaign budget is also available for tighter control over total spending. Before launching, verify the latest budget requirements and policies in OpenAI’s documentation.

The landing page should deliver on the promise made in the ad. If the ad promotes a course designed to help people prepare for job interviews, visitors should immediately see the curriculum, format, price, and registration options. Before launching, also define the results that would justify continued spending.

Measurement starts with a business objective: generating orders, booking consultations, or attracting qualified B2B inquiries. Ad spend and clicks show how a campaign is performing, while leads and sales reveal its actual contribution to the business.

Add UTM parameters to your advertising links. ChatGPT Ads supports these parameters, allowing you to analyze traffic using familiar web analytics tools. You should also configure conversion tracking to measure desired actions on your website.

Once a lead comes in, a team member should check whether it meets your agreed qualification criteria, such as customer needs, geographic location, budget, or company type. Calculate the cost per qualified lead by dividing total ad spend by the number of qualified leads. For example, $300 in ad spend and six qualified leads results in a cost of $50 per qualified lead.

For B2B businesses, account for the sales cycle: leads generated this month may turn into deals later. A handful of clicks is not enough to draw meaningful conclusions, and a new advertising channel does not automatically guarantee lower acquisition costs. To make informed decisions, your team needs to consistently track the outcomes of its interactions with incoming leads.

Once a prospect submits a form, the sales team takes over. The inquiry needs to be recorded, assigned to the right person, and followed up on with a scheduled next contact.

In Uspacy, you can create a lead, add contact details, specify the source, and assign a responsible person. The team member can then identify the prospect’s needs and guide them through the sales funnel. You can also schedule a follow-up call or meeting directly from the CRM record.

Capturing website inquiries and advertising parameters requires configuring the form and setting up an integration, including through an API. Before launching, test the entire process with a sample inquiry to verify that contact details, the lead source, and the required UTM parameters are being recorded correctly.

For further data management, you can also connect Uspacy to ChatGPT through an MCP server. Team members can use natural language to find a specific lead, update its details, or schedule a customer call. Available actions depend on the server's tools and the user's permissions. This gives marketing teams insight into lead quality and sales teams the context they need for follow-up conversations.