1. What happened?

OpenAI began testing ads in ChatGPT in the US in early 2026. From August 24, 2026, ChatGPT Ads became available in 31 European markets, including Romania, Hungary, Germany, France, Spain and Italy.

The platform was initially available through OpenAI Ads Solutions, agency and technology partners, and from August 31, 2026, self-service Ads Manager also became available to European advertisers.

Why is this relevant for a digital marketing agency?

ChatGPT Ads represents a new advertising channel, but more importantly, it introduces a new way of processing and targeting user intent in paid media.

With Google, users typically enter a search query. In ChatGPT, however, a user can describe an entire problem, need or decision-making situation.

For example:

“Which running shoes should I buy if I am starting to train for a half marathon?”

or:

“Which CRM should we choose for a 20-person sales team?”

The purpose of ChatGPT Ads is to connect relevant advertisements to these types of conversational contexts. 

2. Where do the ads appear?

Ads appear below ChatGPT responses, clearly separated from the response itself.

An ad can contain:

• Advertiser name

• Favicon / brand logo

• Headline

• Description

• Image

• Landing page

Ads are clearly labeled as advertising and are not part of the ChatGPT-generated response.

According to OpenAI, ads do not influence ChatGPT responses, and advertisers do not have access to users' conversations, chat history, memory or personal data.

Ads may currently appear to Free and Go users. They do not appear to Plus, Pro or Business users, and ads are not served to users under 18.

3. How does targeting work?

This is one of the biggest differences compared with traditional paid media platforms.

ChatGPT Ads is not traditional keyword targeting.

The system considers multiple relevance signals, including:

• the context of the current conversation,

• intent expressed in the conversation,

• the ad's headline and copy,

• the content of the landing page,

• advertiser-provided context hints,

• and, where ad personalization is enabled, certain signals from the user's ChatGPT experience.

Advertiser context hints can help the system understand which topics, conversations or keywords are relevant to a particular product.

Important: these are not exact-match keywords and do not guarantee that an ad will appear in a specific conversation.

The best mental model is therefore intent + context matching, rather than keyword targeting.

4. How can advertisers buy ads?

ChatGPT Ads currently supports several campaign objectives:

CPM / Reach

The objective is to increase reach and awareness.

The advertiser pays per thousand impressions.

CPC / Clicks

The objective is to drive traffic to a website or product page.

The advertiser pays per valid click.

OpenAI currently recommends a starting maximum CPC bid of $3-5 for CPC campaigns, but this is not a benchmark or guaranteed price.

oCPC / Conversions

For conversion-oriented campaigns, the system can optimize toward a defined conversion event.

Conversion tracking is required, for example through the OpenAI Conversions API and/or JavaScript Pixel.

The platform's auction system uses a relevance-weighted second-price auction.

5. What does this mean from a creative perspective?

With ChatGPT Ads, the classic "attention-grabbing advertisement" approach is complemented by a strong focus on relevance and usefulness.

OpenAI's recommendations include:

• clearly communicate what the product offers,

• communicate a specific benefit,

• use multiple headline and copy variations,

• make sure variations communicate genuinely different selling points,

• cover different use cases rather than simply producing different versions of the same creative,

• keep the landing page closely aligned with the ad.

This leads to an important agency insight:

The goal may not be to find one single "winning" creative. Instead, we should provide the system with enough relevant creative and messaging variations to identify the contexts in which each message performs best.

6. ChatGPT Ads vs. Google Ads vs. Meta Ads

The key strategic difference:

Google tries to understand what the user is searching for.
Meta tries to predict what the user may be interested in.
ChatGPT tries to understand what the user is trying to solve.

This is a simplification, but it is a useful mental model for the agency.

7. Why could this be particularly interesting for marketing?

In ChatGPT, users are often already in the middle of a decision-making process.

Examples:

• "Which laptop should I buy under €1,000?"

• "Which bank should I open an account with?"

• "What car should I buy for city driving?"

• "Which marketing agency should I choose?"

• "Which CRM would be good for our company?"

• "Where should I book accommodation in Barcelona?"

This means ChatGPT Ads can potentially appear when a user is already actively evaluating alternatives.

This could be particularly interesting for:

• e-commerce

• SaaS

• travel

• finance

• education

• automotive

• professional services

• B2B

• high-consideration products

8. Measurement and current limitations

Ads Manager currently supports metrics including:

• impressions

• clicks

• spend

• CTR

• average CPC

• average CPM

• conversions

Traffic can be further measured using UTM parameters within existing analytics systems.

Conversion measurement is available, and dedicated conversion tracking is required for oCPC campaigns.

Important: ChatGPT Ads is still in a beta and early scaling phase. There are not yet stable, cross-industry benchmarks for CPC, CTR or ROAS. According to OpenAI, performance depends on factors including campaign objective, creative, landing page, relevance and setup.

Therefore, ChatGPT Ads should not currently be compared directly against established Meta or Google benchmarks.

Agency takeaway

ChatGPT Ads is not simply another placement within the existing paid media mix.

The most important new element is conversational intent.

Over the coming months, we should monitor:

1. Which categories perform well?

2. Which user intents trigger ads?

3. Which creative structures perform best?

4. How high are CPCs and what conversion rates can be achieved?

5. How does ChatGPT traffic compare with Google and Meta traffic?

6. How will organic brand visibility and AI search / recommendation presence affect paid advertising on ChatGPT?

7. How will targeting and measurement evolve throughout the beta?

At agency level, we should not immediately treat ChatGPT Ads as "the new Google Ads." Instead, it should be tested as a new paid media channel with its own logic, creative approach and measurement system.

This is an area where early experimentation itself could become a competitive advantage.