DeepSeek went from being an unknown project to shaking the market in January 2025 with a model matching GPT-4 at a fraction of the training cost. In 2026 it's the most-used open-source LLM in the world and has been silently integrated into thousands of European corporate chatbots, including in Spain. Appearing in DeepSeek is entering a new and still under-exploited channel.
Why DeepSeek matters
DeepSeek V3, released in late 2024 by DeepSeek AI (a Chinese company funded by High-Flyer), introduced a Mixture-of-Experts architecture that reduces inference cost by an order of magnitude vs. closed models. Result: many European companies concerned about costs or dependence on American providers chose to deploy DeepSeek on their own servers. GEO consequence: your brand may appear in prospects' internal chatbots without your knowledge.
DeepSeek's state in 2026
Direct end-user share in Spain: ~3% (consumers using chat.deepseek.com). Indirect share via B2B integrations: significantly higher, estimated at 8-12% of generative traffic in tech sectors. Reason: many European SaaS platforms with integrated chatbots have migrated to DeepSeek for cost.
What DeepSeek prioritizes when citing brands
As a model massively trained on open-web English data, DeepSeek prioritizes: well-structured English content (even if your main market is Spain, having an EN version helps a lot), data available on GitHub, Hugging Face, and arXiv, Wikipedia/Wikidata, and long corporate blogs with clear technical structure. It penalizes paywalled content and sites without Schema.org.
Operational actions to appear in DeepSeek
1) EN version of your key pages. Your main landing and pillar articles should have professional English translation with correct hreflang. 2) Public GitHub repository: even if your product is non-technical, a GitHub organization with detailed README signals existence and authority. 3) Allow DeepSeekBot in robots.txt. 4) Complete Schema.org: especially Organization and Article. 5) Wikidata contribution: the dataset is widely used by open-source models.
Why "invisible" B2B chatbots change the rules
When a European consultancy integrates DeepSeek into its intranet to answer employee questions, those employees may be evaluating providers in their queries. If your brand isn't cited by DeepSeek, you don't enter consideration even if you've paid SEM or published whitepapers. GEO oriented to open-source models is the next B2B frontier.
Risks and considerations
DeepSeek is China-based; some European companies have usage restrictions for compliance (sensitive data, regulated sectors). This reduces but doesn't eliminate its penetration: for public use, it's perfectly valid. As a brand, your DeepSeek presence implies no commitment to the platform; it's simply capturing visibility on another channel.
At GEOMOND the Presence Index incorporates DeepSeek as an evaluated model from Q1-2026. Request the free audit and discover your current position.
Frequently asked questions
What is DeepSeek and how much share does it have?
Open-weights Chinese model rivaling GPT-4 at 10-20x lower cost. In 2026 it reaches 8-10% global developer usage and grows in countries where US models are expensive. In Spain its use is still <3% but accelerating.
How do I appear in DeepSeek answers?
Being open-weights, many enterprise integrations use it via self-hosted API with their own data. To appear in answers: have your site indexable by generic crawlers, Schema.org structured data and RSS feeds — the universal baseline.
Is DeepSeek-specific GEO worth pursuing?
Only in technical B2B SaaS and developer tooling. Otherwise the levers that work for ChatGPT, Claude and Gemini also cover DeepSeek. Exception: brands with Asia-Pacific international audience, where DeepSeek already weighs 25%+ of queries.