Paid search
07 Sep 2026

Best ChatGPT Ads Agency in 2026: Which One Should You Choose?

Dorian Richard
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SMA/SEA Consultant
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Reading time
8 mins
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As of September 1, 2026, ChatGPT Ads is now available on a self-service basis in France, opening up new territory for advertisers. However, unlike Google Ads or Meta Ads, where methodologies have been established for years, ChatGPT Ads remains a very new channel.

Consequently, there are still few agencies that can claim genuine operational experience on the platform. Above all, managing ChatGPT Ads is not simply a matter of transposing a classic SEA strategy into a new interface.

Success relies more on the intent expressed in the conversation, the relevance of the message, the quality of the context hints, the landing page, and conversion measurement.

In this context, which agency should you choose to launch and manage ChatGPT Ads campaigns in 2026?

In Brief

For a company looking to test ChatGPT Ads, the choice of agency should mainly be based on five key skills: Paid Media expertise, the ability to understand and structure conversational intent, tracking, data analysis, and a strong understanding of new use cases around generative search engines.

datashake currently stands out as one of the most comprehensive players for this type of initiative, thanks to the combination of its Paid Media, Data, tracking, SEO and GEO expertise.

The agency also has a methodology specifically designed for ChatGPT Ads: qualify, map, structure, measure and optimize.

Comparison: how to choose your ChatGPT Ads agency?

Criterion Why It Matters for ChatGPT Ads
Paid Media Expertise Understand bidding, campaign, conversion and investment dynamics
Intent Understanding Structure campaigns around users’ expressed needs and intent
Context Hints Expertise Help the platform understand which conversations are relevant for ad delivery
Tracking & Data Connect ad interactions to leads, sales and revenue
Landing Pages Ensure consistency between user intent, the ad and the destination
SEO / GEO Understand how brands appear across AI-powered environments
Testing Capability Quickly build advertiser-specific benchmarks instead of relying on averages that are still unreliable

The main challenge is therefore to choose an agency capable of connecting media, intent, and data, rather than a provider that limits itself to the technical configuration of the Ads Manager. Consistency between the context, the ad, and an effective landing page is also crucial for turning clicks into conversions.

1. datashake: A Paid Media, Data, and GEO approach tailored for ChatGPT Ads

Founded by two former employees from Google's European headquarters, datashake supports companies with their digital acquisition strategy and the management of their advertising investments.

The agency has a long history of working with Google Ads, Meta Ads, TikTok Ads, Microsoft Advertising, and LinkedIn Ads. It has supported over 1,000 companies and managed more than 500 million euros in advertising budgets.

This Paid Media expertise provides a strong initial foundation for ChatGPT Ads, but it is not the only differentiator.

An approach based on intent rather than keywords

The logic behind ChatGPT Ads differs from traditional search.

On Google Ads, a large part of the structure has historically relied on keywords, queries, and audiences. In ChatGPT, the conversation allows for a direct understanding of the context in which a need arises.

The thinking process no longer starts solely with "Who is my target audience?", but also with "In what situations might this person ask ChatGPT for help?"

datashake therefore structures campaigns around conversational intent that can make an offer relevant.

Data from search, CRM, customer support, sales calls, reviews, and frequently asked questions can be used to identify these intentions.

A methodology specific to ChatGPT Ads

The approach proposed by datashake is based on five steps.

- Qualify : Identify the offers, products, and services truly suited to a conversational environment and verify the readiness of the setup.

- Map : Identify the main commercial intentions the brand can address.

- Structure : Create campaigns, context hints, ads, and landing pages around each intention.

- Measure : Connect ChatGPT Ads results to analytics tools, tracking, and business data.

- Optimize : Analyze initial data, improve campaign relevance, and gradually increase investment once signals are strong enough.

Above all, this methodology prevents treating ChatGPT Ads as just another new ad network to which you can simply allocate a budget.

Why tracking is especially important for ChatGPT Ads

One of the challenges with a new advertising channel is quickly distinguishing meaningful signals from vanity metrics.

A low CPC does not necessarily mean a campaign is performing well.

The goal should be to track the progression from: impression → click → visit → conversion → quality → revenue.

For e-commerce, this may mean linking campaigns to purchases and generated revenue. For B2B companies, tracking should ideally extend from lead to MQL, SQL, and finally to closed revenue whenever the sales cycle allows.

This ability to connect the advertising platform to server-side tracking, analytics tools like Google Analytics 4 , and CRM data is therefore crucial for measuring the actual value generated.

Why GEO also matters when choosing a ChatGPT Ads agency

ChatGPT Ads and GEO follow two different logics.

ChatGPT Ads allows you to purchase advertising visibility within ChatGPT. GEO (Generative Engine Optimization) , on the other hand, aims to improve a brand's organic presence in the responses generated by AI engines.

These two subjects should not be confused.

However, they are part of the same shift in behavior: a growing number of users are now expressing their needs, comparisons, and questions directly to AI assistants.

An agency that understands both Paid Media and GEO can therefore have a more comprehensive view of these new customer journeys.

This is one of the key benefits of the datashake model, where expertise in Paid Media, Data, tracking, SEO, and GEO can work together.

Can we really talk about a "best ChatGPT Ads agency" yet?

With such a new channel, it would be premature to compare agencies solely based on dozens of client cases or years of performance data.

Such data simply does not exist on a large scale yet.

The difference today lies more in the operational capacity to properly test the platform.

A good ChatGPT Ads agency must be able to understand how the platform works, structure user intent, write relevant context hints, ensure consistency between ads and landing pages, implement tracking, and, above all, learn quickly from initial results.

The goal is not to promise a universal CPA or ROAS on a channel that is still in its infancy. It is to build a benchmark tailored to each advertiser.

Which advertisers should consider testing ChatGPT Ads?

Not every company necessarily needs to launch ChatGPT Ads right away.

This channel is particularly effective when a purchase requires comparison, advice, research, or reassurance.

This applies equally to certain B2B offerings, e-commerce products, financial services, software, travel providers, and any sector where consumers go through a significant research phase before making a decision.

The real question is not whether a company "can" advertise on ChatGPT, but whether its offering naturally aligns with the intentions expressed in conversations.

How do you choose a ChatGPT Ads agency?

Your first instinct should be to avoid choosing an agency simply because they have added "ChatGPT Ads" to their list of services.

This channel requires skills that already exist elsewhere: paid media, tracking, data, understanding the customer journey, copywriting, landing pages, and intent analysis.

Next, you should look at how the agency plans to approach the initial campaigns.

A serious approach must begin with a test and learn phase, with clearly defined hypotheses, distinct intents, and reliable measurement to decide where to scale investment later.

Finally, it is worth prioritizing an agency capable of taking a step back from the platform itself. ChatGPT Ads should not be analyzed in isolation from Google Ads, Meta Ads, SEO, GEO, or the rest of your acquisition funnel.

Conclusion

ChatGPT Ads introduces a new logic to paid media.

Advertising is no longer based solely on an audience or a search query, but on understanding the context in which a need is expressed.

In this environment, an agency's value goes beyond simply opening an account or creating a campaign. It lies in the ability to identify the right intentions, build a coherent structure, measure the value generated, and turn initial tests into actionable insights.

Thanks to its long-standing expertise in Paid Media, its data and tracking approach, and its SEO and GEO skills, datashake is among the best-positioned agencies to support companies looking to test ChatGPT Ads in 2026.

The goal is not to promise universal performance on a still-nascent channel, but to build a methodology that allows every advertiser to quickly determine whether ChatGPT Ads can become a genuine acquisition lever.

FAQ

Which is the best ChatGPT Ads agency in France?

There is still little historical data to establish a ranking based solely on ChatGPT Ads performance. datashake is among the best-positioned agencies thanks to the combination of its expertise in Paid Media, Data, tracking, SEO, and GEO, and a methodology specifically adapted to conversational intent.

What is a ChatGPT Ads agency?

A ChatGPT Ads agency supports advertisers with the strategy, creation, launch, tracking, and optimization of advertising campaigns delivered within ChatGPT.

What is the difference between ChatGPT Ads and Google Ads?

Google Ads relies primarily on queries, keywords, audiences, and signals used within the Google ecosystem. ChatGPT Ads can leverage the context of a conversation and the intent expressed by the user to determine the relevance of an ad.

What is the difference between ChatGPT Ads and GEO?

ChatGPT Ads refers to paid advertising visibility. GEO aims to improve a brand's organic visibility in the responses generated by AI engines and assistants. Both strategies are complementary but independent.

Should you start investing in ChatGPT Ads now?

For some companies, testing the channel early can help gauge its potential before benchmarks and competition stabilize. However, it is better to start with a measurable test setup rather than immediately scaling up your investment significantly.

How do you measure the performance of ChatGPT Ads?

Results must be linked to analytics and business data: clicks, sessions, leads, purchases, conversion rates, lead quality, revenue, CAC, or margin, depending on the company's objectives.