ChatGPT Ads are Live: Who Won the First Month?

OpenAI officially initiated its advertising experiment on February 9, marking a structural change for the world’s most prominent large language model (LLM).

Ads currently appear for users on the Free and Plus subscription tiers within the United States. This rollout follows a period of intense speculation regarding how OpenAI would monetise its massive user base without compromising the core utility of the chat interface. 

Early data shared by Adweek indicates a high barrier to entry, with OpenAI setting an entry-level commitment of a $60 CPM (Cost Per Mille) and a $200,000 minimum spend. This pricing structure places ChatGPT ads at roughly three times the average rate of Meta’s current advertising inventory. 

For global leaders and agencies, this US-centric pilot provides a critical preview of the technical and strategic hurdles inherent in conversational marketing.

This guide breaks down all you need to know about the early stages of ChatGPT Ads and how your business can manage this update.

ChatGPT Ads: The Official Arrival of Conversational Advertising

Conversational advertising differs fundamentally from traditional display or search marketing. 

While a search ad responds to a specific keyword, a ChatGPT ad must integrate into a multi-turn dialogue.

OpenAI insists that these ads do not influence the model’s actual answers. Instead, the interface serves sponsored content as a distinct, labelled component within the user’s session.

The protocol includes several guardrails to maintain user trust. Personalisation remains optional, and OpenAI excludes users under the age of 18 from ad targeting.

Further, the platform restricts ads in sensitive categories, including health and politics. Despite these limitations, the $200,000 minimum spend confirms that OpenAI is targeting enterprise-level budgets.

These brands are paying a premium for proximity to high-intent, long-form user engagement that traditional search engines no longer capture.

Retail and Grocery Brands Leading the Charge

The first month of the pilot saw heavy participation from global conglomerates with deep pockets and established data teams. Brands like Target, Best Buy, Adobe, Ford, and Expedia were among the first to appear in the interface.

Retail and grocery brands are particularly active in this space. These organisations use ChatGPT ads to intercept users during the planning phase of a purchase.

For instance, if a user asks ChatGPT for a weekly meal plan for a family of four, a retailer like Target can serve a sponsored grocery list or a direct link to their delivery service.

This placement occurs at the exact moment of decision-making, offering a level of context that static display ads cannot replicate. By positioning themselves as the fulfilment partner for the AI’s suggestions, these brands aim to shorten the path from discovery to purchase.

Early Performance Data and Conversion Benchmarks of ChatGPT Ads

Measuring the success of a $60 CPM placement requires a shift away from traditional web metrics.

Because the US rollout is still in its infancy, standardised benchmarks are sparse. However, early participants report that engagement quality outpaces traditional social media channels.

While Meta and Google Ads often rely on accidental clicks or passive views, ChatGPT ads benefit from active attention. Users are already in a reading and processing state of mind.

Preliminary reports suggest that brand recall for conversational placements is significantly higher than for standard banner ads. However, the high CPM remains a point of contention for performance marketers.

At three times the cost of Meta, ChatGPT ads must deliver either a much higher conversion rate or a significant boost in customer lifetime value (LTV) to justify the investment. Currently, the “win” for these early adopters is primarily in brand association. That means being the first names users see in the AI-driven future.

Technical Hurdles Faced by Early Advertisers

The move to conversational ads introduces several technical vacuums that did not exist in previous search engine use. Advertisers must navigate a landscape without standard tracking protocols, such as:

1. The Attribution Vacuum

ChatGPT doesn’t currently support a traditional click-based conversion path. Unlike a Google Search ad, there’s no native click-through URL that supports standard UTM parameters.

This makes it nearly impossible to track a user’s journey from the chat interface to a completed checkout using traditional analytics.

Advertisers are currently beholden to OpenAI’s own internal performance disclosures, which lack the transparency of third-party verification tools.

2. Lack of Standardised Measurement Norms

The industry lacks a consensus on what success looks like in a chat thread. Should marketers measure conversation lift or citation share?

Without standardised metrics, agencies must rely on flaky correlation measurements, such as comparing ChatGPT ad flight dates with general brand lift in a specific region.

This lack of precision is a major deterrent for mid-sized organisations that require strict ROI proof before committing to a six-figure spend.

3. Contextual Alignment Risks

While OpenAI promises that ads will not influence the model’s output, the risk of unfortunate proximity remains. If the AI provides a negative or incorrect response regarding a topic, and a sponsored ad appears immediately below it, the brand may suffer from a negative association. 

Managing brand safety in a dynamic, generative environment is significantly more complex than managing it on a static webpage.

Preparing Your Business for the Second Quarter

As the US pilot matures, the likelihood of a broader international rollout increases. Businesses and agencies should use this enterprise-only phase to prepare their data infrastructure by:

• Audit First-Party Data. Conversational ads will eventually rely on your own data to remain relevant. Ensure your product feeds and service descriptions are high-fidelity and machine-readable.
• Develop Non-Click Attribution Models. Start experimenting with brand-lift studies and incrementality testing. If ChatGPT arrives in Australia without a click-through path, you will need alternative ways to prove the value of the spend to your stakeholders.
• Monitor Entity Health. ChatGPT identifies brands as entities. Ensure your brand’s presence across the web is consistent so that the model and the ad engine correctly identify your expertise.

Get Expert Help for AI Ads

The first month of ChatGPT ads has proven that conversational interfaces are the new premium real estate of digital marketing.

While the high-priced minimum spend keeps the channel exclusive to global giants for now, the infrastructure for a wider rollout is already in place.

The challenge for the rest of the industry is to solve the attribution puzzle before the $60 CPM becomes the new global standard.

Success in this space will go to the brands that can bridge the gap between AI conversations and real-world revenue. Don’t wait for the attribution vacuum to consume your budget.

We at Tell No Lies provide the technical expertise and data science solutions needed to measure the unmeasurable.

Contact us today for a strategic audit of your advertising data foundations. We’ll help you improve tracking, tagging, and reporting to better understand performance in the evolving landscape of conversational commerce.