Are Chinese AIs (DeepSeek, Qwen) used in Europe?

Marginally, but growing. DeepSeek R1 (January 2025) and Qwen 2.5 (Alibaba) shocked the market with their performance/cost ratio, DeepSeek reaches GPT-4 level at 5% of inference cost. In Europe, their use remains limited (<5% of companies) due to GDPR concerns, China hosting and soft power. On francophone B2B GEO, impact is anecdotal in 2026.

Are Chinese AIs (DeepSeek, Qwen) used in Europe, for AI engines?

The Chinese AI landscape is structured around five major players: DeepSeek (high-end open-source models), Alibaba Qwen (enterprise generalist), Baidu ERNIE, Zhipu GLM, Moonshot Kimi. Common strength: highly efficient training, aggressive performance/cost, multilingual capabilities (excellent Chinese and English, decent French, weak Dutch). Three European uses: (1) Academic research, DeepSeek R1 is open-source and self-hostable, popular in labs. (2) Indie developers, Qwen API 70-90% cheaper than GPT-4. (3) Edge cases, DeepSeek has fewer safety rails, attracts borderline use. "Chinese models train on a corpus dominated by Chinese and English content, so they cite few European sources, and that is why their impact on francophone B2B GEO stays anecdotal," notes Lorenzo Eeman, founder of PROEMA. For a European brand, short-term stake is nil but worth watching: if DeepSeek breaks into European enterprise use cases, your absence becomes a gap.

What the 2026 numbers say on Are Chinese AIs (DeepSeek, Qwen) used in Europe

Public benchmarks converge on three signals. ChatGPT hit 900 million weekly active users in early 2026 (OpenAI announcement reported by TechCrunch on February 27, 2026). Google AI Overviews reached 47 % of European queries in March 2026 (Semrush Sensor 2026). Perplexity reported +800 % year-over-year query growth. In practical terms: informational traffic leaving Google's blue links for answer engines is no longer marginal, for a B2C F&B site, it typically runs 15-25 % of measurable traffic via Cloudflare AI Crawl Control or GA4 « ai-referrer » segments.

Why Are Chinese AIs (DeepSeek, Qwen) used in Europe isn't optional for serious brands

The 5W Citation Source Audit Q1 2026 shows LLMs concentrate citations on a tiny set of sources: Wikipedia (13.15 % at ChatGPT) + Reddit (11.97 %) = 25 % of citations, followed by vertical databases (Yelp, TripAdvisor, IMDB depending on context). For F&B brands, the problem is binary: either you're in the sources LLMs read, or you never show up, there is no « page 2 » of LLM citation. PROEMA's documented discipline targets exactly this presence: structure content via Schema.org, publish on hubs crawlers actually read, and lock down Author/Person + sameAs Wikidata to clear the confidence filter.

PROEMA operational rule for Are Chinese AIs (DeepSeek, Qwen) used in Europe

Translation: stop watching from the bench. By June 2026, a B2C F&B brand with no Schema.org Author/Person, no sameAs Wikidata, and no FAQPage gets approximately zero LLM citations on long-tail informational queries, confirmed across PROEMA verticals (expertvin.be, expertcafe.be, zeroproof.one). The fix isn't theoretical: it's three concrete deliverables (Schema markup audit + Wikidata entry + FAQ playbook 5-blocs structure) executed in six to eight weeks.