AI search in Europe: why Dutch visibility works differently from the US benchmarks

AI search works differently in Europe than the US blogs and benchmarks suggest. Google's AI Overviews arrived later and in phases for European languages, the Digital Markets Act forced Google to change the results page inside the EEA, and the language your customers use decides which sources a model draws on. If you serve the Dutch market, you have to measure in Dutch, per country, and with a method that does not mistake day-to-day variation for a trend.

What is genuinely different in Europe

Four differences shape the field.

Later, phased rollout. AI Overviews appeared first in the US and in English. European languages followed per country and per language, and the share of queries that get an AI summary still differs per market and per topic. A figure such as "X percent of queries show an AI Overview" from a US study says nothing about your Dutch category. The same goes for AI Mode, which is rolled out per language.

The Digital Markets Act. Since the DMA applies, Google shows a different results page inside the European Economic Area than outside it: less self-preferencing of its own services, different blocks for comparison sites, different treatment of hotel and product results, for example. That changes where organic results and AI blocks sit and how much room is left for your page.

Language and sources. A language model answering a Dutch question leans on Dutch sources: comparison sites, Dutch media, Dutch forums and the product pages of Dutch web shops. Ask the same thing in English and you get a different list of brands and different citations. That is not noise; it is exactly why you measure in your customer's language.

Consent and measurability. In the EU, sites ask for consent before loading analytics. Part of your visitors decline, and those sessions are missing from your dashboards. Add that AI answers often produce no click at all, and it is logical that "AI traffic" in an analytics package looks smaller than what actually happens.

Which engines matter for the Netherlands

A Dutch marketer looks at a different set than an American one.

• Google AI Overviews and AI Mode in Dutch results: this is where the volume is, because Google holds the largest share of search in the Netherlands.
• ChatGPT with search: many Dutch consumers use it to orient and compare, without logging in. Answers differ between a logged-in and a logged-out session and between the app and the browser.
• Perplexity: smaller in volume, but strong on citations, and therefore a good indicator of which sources a model trusts.
• Copilot: relevant for business audiences working inside a Microsoft environment.
• Local shopping assistants such as bol's AI shopping helper: for product brands in the Netherlands and Belgium this is a channel of its own with its own rules.

For each of these engines, an answer obtained through an API is not the same as the answer a user sees in the browser. The browser version contains sources, cards and sometimes ads that the API does not return. Labelling what you saw where is part of measuring honestly.

How to measure AI visibility for the Dutch market

Start with a prompt set in Dutch that covers your customers' questions: orientation ("which [product] is good for…"), comparison ("[brand A] or [brand B]"), local ("[service] in [city]") and brand ("is [brand] reliable"). Thirty to a hundred prompts per market is enough to see something; Belgium and the Netherlands get separate sets, even where the language is the same.

Then run that set weekly, in clean sessions without history, on several engines, and measure per prompt whether your brand is mentioned, whether it is recommended, and which sources are cited. One measurement is a snapshot; a model gives different answers to the same question on different days. To know whether a movement is real you need repetition and a confidence interval. A brand that appears in 12 of 40 answers has a mention share of 30 percent with an interval running roughly from 18 to 45 percent. Seeing 35 percent a week later is not news.

Combine that with what you can see in your own data: AI crawlers in your server logs, referring sessions from chatgpt.com or perplexity.ai, and Search Console queries that read like AI-style questions ("best", "compare", "which"). None of those sources is complete, but together they show whether AI visibility translates into visits.

What to improve next

The patterns behind Dutch AI answers are not mysterious. Models cite pages that answer a question directly, state facts with a source, have clear entities (who you are, what you sell, where you are) and sit on sources the model already trusts. In practice that means:

1. Answer pages in Dutch that answer the question in the first paragraph, with concrete figures and a source.
2. Schema and entity data that are correct: Organization, Product, LocalBusiness, FAQ where honest.
3. Presence on the sources the model uses: comparison sites, industry overviews, reviews and Dutch media. Look at your citations to see who is cited instead of you today.
4. A crawler policy that allows the search crawlers of AI engines and that your CDN does not quietly undo.
5. Local signals for local questions: a Google Business Profile that is correct, addresses that match everywhere.

Do that per market and per language, because an improvement in Dutch answers does not automatically show up in Flemish or English ones.

Conclusion

European AI search results have their own rollout, their own rules and their own sources. So measure in Dutch, per country, weekly and with intervals, and label what you saw in the browser versus through an API. If you would rather not build that measurement yourself, see how AI visibility in Traze is measured weekly per engine, per market and with confidence intervals.