A GEA expert designs and runs the ad campaigns served inside generative AIs. The channel is still barely competitive: delegating skips the learning curve and buys a head start before it saturates.
Two years ago, nobody was looking for a GEA expert. The term simply did not exist. Today, the first brands are starting to wonder how to exist inside the answers of ChatGPT, Perplexity or the generative AIs built into search engines. And as with every new advertising channel, one question comes up fast: should you learn to do it yourself, or hand it to someone who already knows the ground?
That is exactly the role of a GEA expert (Generative Engine Advertising, advertising on generative engines). Here is what the job actually covers, and why a growing number of companies choose to delegate the skill rather than improvise it in-house.
What is a GEA expert, in concrete terms?
A GEA expert is a professional specialised in designing, deploying and steering advertising campaigns served inside generative artificial intelligence interfaces. Unlike a classic SEA expert, who works on mature platforms such as Google Ads, the GEA expert operates on shifting ground: ad formats that take shape platform by platform, rules that move with every announcement from OpenAI, Perplexity or Google, and an audience that interacts with the brand conversationally rather than through a simple click.
The role is not limited to serving ads. It also covers preparing the brand upstream: structuring product data, keeping the information published across the web consistent so the AIs read it correctly, and actively monitoring the new ad formats as they appear.
Why GEA changes the game for companies in 2026
More and more people no longer go through a classic search engine to compare offers: they put the question straight to a generative AI. That shift in behaviour has a direct consequence for lead acquisition: being absent from these interfaces means being absent from a growing share of the buying journey.
A channel that is still barely competitive
That is precisely what makes this moment interesting. Ad formats on generative engines are still being built, and few companies have started positioning themselves. Working with a GEA expert now buys a head start before the channel becomes as saturated and expensive as Google Ads became after fifteen years of maturity.
The skills that set a real GEA expert apart
Because the term is recent, it also attracts profiles who pass themselves off as specialists without any real grasp of the subject. Here is what to look for in a serious counterpart:
- A technical understanding of how LLMs work: how a generative AI selects, ranks and phrases the information it hands back to the user.
- Constant monitoring of platform announcements (OpenAI, Perplexity, Google, Microsoft), on a channel that sometimes shifts from one week to the next.
- A dual SEO and SEA background, since GEA borrows mechanics from both historic disciplines.
- The ability to structure data (markup, product sheets, standardised content) so the brand is interpreted correctly by the AIs.
- A measurable approach, with tracking indicators fit for this new channel rather than a pitch about what is coming.
Doing it alone or delegating: what actually changes
Going it alone on GEA exposes you to several pitfalls: misreading the available formats, time lost on time-consuming monitoring, or worse, a badly structured presence that harms the brand rather than serving it.
Delegating to a GEA expert saves time on the learning phase above all, and brings a cross-cutting view: a consultant running several accounts sees best practice emerge far faster than a company discovering the channel for the first time.
How a GEA engagement unfolds
A serious engagement always starts with an audit of the brand’s current presence in generative AI answers, before any advertising goes out. That step surfaces the gaps in data structuring and the opportunities already within reach. Then comes a technical preparation phase, followed by the gradual rollout of the first campaigns, with close follow-up for as long as the channel stays young and the landmarks unstable.