Our goal is to test out ChatGPT ads for our agency before spending client budget

The team is testing ChatGPT Ads Manager Beta before using it for clients.

Main reason: there are rumors the ads may be low quality or waste spend without producing strong conversions.

• Approach:
  • Test it on internal campaigns first.
  • Learn how the platform performs before rolling it out for clients.
• Philosophy behind the test:
  • Stay on the cutting edge.
  • Avoid frivolous ad spend when results are still uncertain.

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Understand the current limitations of the beta ChatGPT Ads

The ads manager currently requires:

• Ads tracking setup
• A pixel

Important limitation: ChatGPT does not yet support conversion-forward ads.

Why that matters: The BlueHuki preferred ad style is usually conversion-focused, not fluffy or awareness-only. For now, the platform is limited to click-driven campaigns.

Expectation: Conversion optimization will likely come later as the system matures.

Step 1: Create the campaign and choose the objective

Example campaign name used: Website Design.

• Available objectives shown in the beta:
  • Reach
  • Clicks
  • Conversions
• Current choice:
  • Clicks, since conversions are not fully available yet.
• Objective guidance:
  • Reach is useful for larger brands wanting visibility.
  • Clicks can work, but may include low-intent traffic.
  • Conversions will be the ideal option once available because the AI can learn who is most likely to convert.

Step 2: Set the targeting and budget details

Choose the campaign location based on your business type:

• Local businesses should target their city/region and nearby areas.
• Our agency operates nationwide, so multiple service areas were added.

The platform also suggested a data availability setting, which was accepted for the first test.

Next, define the ad group:

• Give the ad group a name.
• Set your maximum cost per click (CPC).

The system provides feedback on whether the bid is likely competitive.

Step 3: Add website and context hints to guide ChatGPT’s AI

• Enter the website for the ad group.
• Add context hints, which are a new concept in this ads manager.
• Since this is a new feature, the transcript notes there aren’t many examples to copy.
• The context hints were created with ChatGPT using details such as:
  • The goal: generate website leads
  • The audience: companies frustrated with their current provider
  • Pain points: slow response times, need for a website redesign
  • Brand details: award-winning, women-owned, military spouse-owned
• ChatGPT also suggested possible questions people might ask, and those suggestions were used as guidance.

Step 4: Build multiple ad variations with trust signals

• A strong campaign should include multiple ad versions.
• In this setup, six different ads were created.
• Each version changes:
  • The creative
  • The image
• The image placement is small, so extra effort was needed to format it correctly.
• The ads intentionally emphasize trust signals because people seeing the brand for the first time do not know it yet.
• Trust signals used include:
  • Award-winning
  • Women-owned
  • Military spouse-owned
  • Faces of the team to humanize the brand

Step 5: Review the final campaign summary and launch the test

• Before launching, the platform summarizes the setup:
  • Campaign name
  • Objective
  • Target locations
  • Conversion event / website leads
  • Context hints
• Final takeaway:
  • The setup is fairly simple.
  • The team is ready to run the campaign and see how it performs.
• The purpose of the test is to learn whether ChatGPT Ads Manager Beta can produce useful results before using it for client campaigns.

FAQs on Setting up ChatGPT Ads

Testing ChatGPT Ads Manager Beta: A Marketing Agency’s Guide to What We’re Learning Before We Recommend It to Clients

Artificial intelligence is reshaping how people search for information, evaluate businesses, and make purchasing decisions. As marketers, it’s our responsibility to stay ahead of these changes while remaining focused on what matters most: results.

Recently, ChatGPT launched its Ads Manager Beta, giving businesses an opportunity to advertise directly within one of the fastest-growing AI platforms in the world. Naturally, there has been significant interest from business owners who want to know whether advertising in ChatGPT is the next major marketing opportunity.

At BlueHuki, we’re excited about the potential. We’re also cautious.

Rather than immediately recommending the platform to clients, we’re running our own campaigns first. We want to understand how the system works, identify its strengths and weaknesses, and determine whether it can generate meaningful business results before anyone invests significant budget.

This guide walks through our initial experience with ChatGPT Ads Manager Beta, explains how the platform currently works, and highlights what marketers should know before launching their own campaigns.

Why We’re Testing ChatGPT Ads Before Using Client Budgets

Whenever a new advertising platform launches, there is a period of uncertainty.

Early adopters often gain valuable advantages, but new systems also tend to have limitations, incomplete features, and performance challenges that take time to resolve. We’ve already heard rumors throughout the marketing community that some ChatGPT ads may generate clicks without producing strong conversions.

Whether those concerns are justified remains to be seen.

Instead of relying on speculation, we’re taking a practical approach. We believe in testing first, gathering data, and making decisions based on evidence rather than assumptions.

This philosophy has always guided our agency. We want to stay on the cutting edge of digital marketing, but we also don’t believe in spending money simply because a new platform exists. Every advertising channel should earn its place in a marketing strategy by producing measurable results.

That is exactly what this experiment is designed to evaluate.

Understanding the Current State of ChatGPT Ads Manager Beta

The platform is still in its early stages, which means marketers should set realistic expectations.

Before creating a campaign, advertisers must complete the standard tracking setup, including pixel implementation and website tracking configuration. This foundational data collection is critical because it will ultimately help the platform learn which audiences are engaging with your business.

However, one limitation immediately stood out during our testing.

Currently, ChatGPT Ads Manager does not fully support the type of conversion-focused advertising that many performance marketers prefer.

For agencies like BlueHuki, this is an important distinction. We generally build campaigns around measurable business outcomes such as form submissions, consultation requests, phone calls, booked appointments, and sales. Our goal is not simply generating clicks. We want qualified prospects who are likely to become customers.

At this stage, ChatGPT advertising appears to be more heavily focused on click-based optimization than true conversion optimization.

That doesn’t mean the platform lacks potential. In fact, we believe conversion-focused capabilities will likely become one of the most valuable aspects of the system as it evolves. AI thrives when it can learn from conversion data and identify patterns among users who take meaningful actions.

For now, though, advertisers should understand that the beta version remains somewhat limited from a performance marketing perspective.

Step 1: Creating Your Campaign and Selecting an Objective

The campaign creation process is straightforward and familiar to anyone who has worked with Google Ads or Meta Ads.

The first step is naming your campaign. For our test, we created a campaign focused on website design services.

After naming the campaign, ChatGPT Ads Manager asks you to select your objective.

The beta currently offers three primary options:

Reach

Reach campaigns are designed to maximize visibility. They can be useful for larger brands seeking awareness, exposure, and broad market recognition.

If your primary goal is simply putting your brand in front of as many people as possible, reach campaigns may eventually become a valuable option.

Clicks

Clicks are currently the most practical choice available in the beta environment.

These campaigns focus on generating traffic to your website or landing page. While increased traffic can be valuable, marketers should remember that not all clicks are equal. Some visitors will be highly qualified while others may have little intent to purchase.

Because of this, click campaigns should be evaluated carefully. High traffic numbers do not necessarily translate into business growth.

Conversions

Long term, this will likely become the most powerful objective available.

When AI systems can optimize around conversions, they learn who is most likely to take valuable actions. Rather than simply finding people who click, the system can identify people who buy, schedule appointments, submit forms, or become leads.

As the platform matures, conversion-focused optimization may significantly improve performance.

Until then, click-based campaigns remain the primary testing environment.

Step 2: Setting Locations, Budget, and Bid Strategy

The next phase involves configuring targeting and budget settings.

Location targeting should align closely with your business model.

Local businesses should focus on their city, county, or service area. This prevents wasted spend on users who are unlikely to become customers.

BlueHuki operates nationally, so we included multiple geographic regions where we actively provide services. This broader targeting allows us to evaluate how the platform performs across different markets.

The platform also suggested several data-sharing and optimization settings. Since this is an exploratory test, we accepted the recommended settings to allow the system maximum access to learning opportunities.

Next comes ad group creation.

This includes naming your ad group and setting a maximum cost-per-click bid. Similar to other advertising platforms, ChatGPT provides feedback about whether your bid appears competitive enough to participate effectively in auctions.

While these recommendations are helpful, advertisers should still monitor performance closely and adjust bids based on actual results.

Step 3: Using Context Hints to Help ChatGPT Understand Your Audience

One of the most interesting features within ChatGPT Ads Manager is something called Context Hints.

Unlike traditional advertising platforms that rely heavily on demographic targeting, keywords, and behavioral signals, ChatGPT attempts to understand broader conversational context.

This means advertisers can provide additional information about their audience, services, pain points, and ideal customer profiles.

Because the feature is so new, there are very few examples available for marketers to follow.

To build our context hints, we used ChatGPT itself as a strategic brainstorming partner.

We provided detailed information about:

• Website redesign services
• Lead generation goals
• Businesses frustrated with their current provider
• Poor communication and slow response times
• Companies needing a modern website experience
• BlueHuki’s award-winning reputation
• Women-owned business status
• Military spouse-owned leadership
• Website conversion optimization expertise
• SEO and AI optimization services

ChatGPT then generated potential audience descriptions and example questions prospective customers might ask.

These insights became the foundation of our context hints.

The result is a more detailed picture of who we serve and why someone would seek our services.

Interestingly, one of the biggest opportunities for improvement may be tighter integration between ChatGPT itself and the ad creation workflow. As the platform evolves, we expect AI-assisted audience development to become even more sophisticated.

Step 4: Creating Multiple Ad Variations and Testing Trust Signals

One of the most common mistakes advertisers make is launching a single ad and hoping it performs well.

Successful campaigns test multiple creative variations simultaneously.

For our initial experiment, we created six different ad variations.

Each version included different combinations of:

• Headlines
• Messaging
• Images
• Design treatments
• Trust indicators

Because image placements within the current beta interface are relatively small, creative design requires additional consideration. Visual elements must remain clear and recognizable even at reduced sizes.

We also intentionally focused on trust-building.

Unlike referrals, where prospects already have confidence in a business, advertising often introduces a company to people who have never heard of it before.

Trust becomes a critical factor in determining whether someone clicks.

To strengthen credibility, we incorporated several trust signals throughout our ads, including:

Award-Winning Recognition

Awards provide third-party validation and help establish authority quickly.

Women-Owned Business

For many consumers and organizations, supporting women-owned businesses is an important purchasing consideration.

Military Spouse-Owned Leadership

This reflects both our company culture and our commitment to supporting military families through meaningful employment opportunities.

Human-Centered Creative

We included real team members and authentic imagery whenever possible. People connect with people, and humanizing a brand often improves engagement.

These elements help create familiarity and credibility before a prospect ever visits our website.

Step 5: Reviewing and Launching the Campaign

Before launch, ChatGPT Ads Manager provides a campaign summary.

This review includes:

• Campaign name
• Advertising objective
• Geographic targeting
• Website destination
• Context hints
• Conversion event settings
• Budget details

The summary serves as a final quality control step before activating the campaign.

Once reviewed, the campaign can be launched and monitored for performance.

Our Early Takeaway on ChatGPT Ads Manager Beta

The setup process is surprisingly simple.

From campaign creation to launch, the interface is intuitive and easy to navigate. For advertisers already familiar with digital advertising platforms, there is very little learning curve.

The larger question is not whether the platform is easy to use.

The larger question is whether it will produce qualified leads and measurable business outcomes.

That is what we are testing now.

As AI continues to reshape the way people discover businesses online, advertising opportunities within platforms like ChatGPT will likely become increasingly important. The companies that learn early may gain a significant competitive advantage.

At the same time, responsible marketers should avoid assuming that every new platform automatically deserves budget.

Our recommendation remains the same as it has always been: test, measure, learn, and scale what works.

Over the coming weeks, we’ll continue monitoring performance, evaluating lead quality, comparing results against traditional advertising channels, and sharing what we learn.

The future of AI advertising is arriving quickly. The goal isn’t simply to participate. The goal is to understand whether it actually helps businesses grow.