The death of the keyword? What ChatGPT Ads mean for international paid media

Traditionally, search advertising has worked on a simple principle: understand what someone is looking for, then show them an ad when they search for it.

That model has made search one of the most powerful forms of digital advertising. But search behaviour has been evolving for years, from short keyword queries towards longer, more natural questions and increasingly specific descriptions of what people want.

Generative AI takes this a step further. Rather than simply searching for something, people can have a conversation about what they need, add context, explore options and refine their thinking as they go.

With ChatGPT Ads now available across Europe, and OpenAI continuing to expand the platform into new international markets, this shift is relevant to paid media teams as well as consumers. OpenAI has expanded advertising to 31 European markets, with familiar mechanics including CPC and CPM buying, geo-targeting and conversion measurement.

It may look like simply another channel to add to the media plan. But conversational AI could change something more fundamental: the nature of the intent signal advertisers are working with. And for international marketers, that raises some particularly interesting questions.

How AI is changing search intent

Again, conversational search isn’t new. People have been typing increasingly long, specific and natural-language queries into Google for years, particularly as search engines have become better at understanding the meaning behind a query rather than simply matching individual words. And advertising technology has been evolving alongside it. Broader keyword match types, AI-powered bidding and automated creative tools have steadily helped close the gap between the complexity of what people search for and what advertisers can target.

Generative AI changes the experience again because the user doesn’t have to formulate a single search query at all. Consider the difference between searching for:

“CRM software Germany”

and telling an AI:

“We’re a 40-person consultancy in Hamburg. Our sales team hates our current CRM, but Salesforce feels like overkill. We need something relatively simple that our accountant can work with. What would you recommend?”

The first query gives a marketer a useful signal. The second provides considerably more context: location, company size, dissatisfaction with an existing solution, concerns about complexity, practical requirements and an implied willingness to consider alternatives.

OpenAI positions ChatGPT Ads around this kind of activity: people exploring, comparing and making decisions, rather than simply looking for a link. That also creates a new challenge for advertisers: how do you target a conversation rather than a keyword? Context Hints are emerging as an important part of the answer, allowing advertisers to align campaigns with the themes and intent contained within conversations and tap into richer consumer signals than a traditional search query can provide. Ads are designed to be separated from ChatGPT’s answers, with the advertising system operating independently from the model’s responses.

That potentially moves advertising closer to the decision-making moment itself: not simply the moment someone searches, but the point at which they are exploring options, comparing alternatives or deciding what to do next.

What ChatGPT Ads mean for international paid media

Richer intent signals bring an additional complication for international brands, because people don’t necessarily describe the same need in the same way from one country to another.

A customer in Germany, France or the UK might all be looking for the same product, but their priorities, terminology, objections and expectations can differ. Even where the words translate perfectly, the meaning behind them may not.

This isn’t new to international paid media. Anyone who has run campaigns across multiple markets knows that a successful campaign requires more than simply translating the English version and changing the currency.

Search behaviour, competition, price sensitivity and the reasons people trust a brand can all vary considerably between markets. And marketers have long had to look beyond the keyword itself to understand the intent and cultural context behind a search. Conversational AI brings those differences further into view because the conversation itself becomes part of the context.

This also changes what advertisers can realistically expect to learn from campaign data. In traditional search, marketers can often inspect the query that triggered an ad and use that information to refine their targeting. In conversational advertising, advertisers don’t have access to the underlying conversation, making it harder to see exactly what intent is driving performance. They may therefore be buying against a much richer understanding of the user’s situation while having less visibility into the reasoning behind the advertising opportunity.

“For some businesses, it may be better to look beyond the conversions the platform reports. New customers, qualified leads and genuinely additional conversions can be a better measure of value than last-click attribution, particularly when the ad appears right at the end of a decision someone was already likely to make. And as measurement is still evolving, I’d be cautious about reading too much into the early numbers.”

Jules Bodoulé Sosso, Strategy Director and Paid Media Lead

All this makes understanding how customers in each market really talk about the problems they are trying to solve particularly valuable – a core Oban theme since long before the advent of AI.

Why localisation matters in AI advertising

For many years, the international paid media journey could be simplified to something like: Keyword → ad → landing page → conversion.

As search has become more sophisticated, that journey has already become considerably more nuanced. And conversational AI introduces another possible layer: Conversation → context → intent → recommendation → action.

The second journey contains far more information but also creates more opportunities for cultural and market differences to matter. That’s because a phrase that signals strong purchase intent in one market might be much less meaningful in another. A particular product benefit might be persuasive in one country but relatively unimportant elsewhere. A local competitor may have a reputation that simply isn’t visible in global brand data.

In e-commerce, product information itself has to be understood conversationally. A product feed might describe headphones as “wireless, black, £89”; a richer set of attributes can tell an AI system that they have noise cancellation, a 30-hour battery and are particularly suitable for long-haul travel. As customers describe their needs in more detail than ever, product feeds become an increasingly important part of how AI systems understand which products are relevant to those needs. That makes the quality, completeness and localisation of those attributes particularly important.

This is where local, on-the-ground insight proves particularly valuable. AI can process enormous quantities of language and identify patterns at a scale no human team could match. What it cannot necessarily tell you is why a particular expression matters in a particular market, or whether a seemingly minor difference in language reflects a much bigger difference in attitudes and expectations.

Is the keyword really dying?

Probably not. Search isn’t going anywhere, and keywords are still a useful way of understanding what someone is looking for. ChatGPT Ads are also a relatively new form of advertising, so it’s far too early to say that traditional search advertising is on its way out.

What is changing is the role of the keyword. A keyword can tell you what someone is looking for, but context can tell you why. For paid media teams, that means looking beyond keywords and audiences to understand the wider situation behind them.

It may also change how campaigns are optimised. If advertisers can see less of the searches or conversations that led to an ad, performance data becomes more important in showing which types of intent are leading to valuable outcomes. OpenAI is also developing new ways to measure this, including conversion optimisation, pixel-based measurement and its Conversions API.

For businesses operating across different markets, understanding that context becomes even more important. People in different countries may describe the same need in different ways, have different priorities and make decisions based on different things. Understanding those differences will remain a crucial aspect of international paid media.

Make sure your international strategy is ready for AI

At Oban, our Local In-Market Experts help brands understand how language, culture and consumer behaviour differ between markets, and what those differences mean for international growth. If you’re considering how AI, search and paid media will shape your international strategy, talk to us.