Customer Impact

SEO & GEO

How to rank in DeepSeek: the Chinese model and Western B2B

Copy for AI

You get found in DeepSeek by creating content the model can pull live from the web and cite with confidence: clearly structured pages, with named experts, concrete figures and clear source citations. DeepSeek does not rank pages the way Google does, it searches the web at the moment of the question and decides on the spot which sources to use. In this article you will read how DeepSeek handles sources and search, why the Chinese nature of the model matters for Western brands, and what you do concretely to be in the running. Good DeepSeek SEO starts there.

This is a topic within generative engine optimization (GEO). The principles overlap strongly with the other AI assistants, but DeepSeek has a few quirks that are worth the effort.

What exactly is DeepSeek?

DeepSeek is a Chinese AI company that releases open models, founded in 2023 and based in Hangzhou. It drew worldwide attention in late 2024 and early 2025 with its V3 and R1 models, which came close on a number of tasks to far more expensive Western models at a fraction of the cost. The models are released under an open license, which means others can run them freely and build them into their own products.

For you as a marketer or business owner, DeepSeek is relevant in two ways. The first is DeepSeek’s own chat app and website, where users ask questions directly. The second, which is often forgotten, is that the open model can sit inside all kinds of other tools and assistants. Whoever is visible in DeepSeek is therefore potentially visible in a broader ecosystem than just that one app.

How does DeepSeek pull its sources?

DeepSeek has a search function that you switch on per conversation, and with that function on it pulls information live from the web instead of drawing purely from its training data. The model first thinks about how to find the best source, then runs a search query, and shows with the answer which pages it consulted. That transparency is a striking feature: you see not only the answer, but also part of the reasoning and the list of cited sources.

That has an important consequence. Because DeepSeek searches and chooses at the moment of the question, there is no fixed ranking that you climb year after year. You compete to be cited in that one answer, based on what the model finds at that moment and how well your page answers the question. This is the same mechanism at play with Perplexity: the content that answers most clearly and most reliably wins the mention.

Research into DeepSeek’s citation behavior shows that the model draws broadly from many different sources per answer, and that a sizable share of those is user-generated content, think of forums and question-and-answer sites. That fits a pattern we see elsewhere too: discussions on platforms like Reddit can make your brand visible in AI answers.

Which signals make DeepSeek cite you?

DeepSeek appears to weigh substantive authority more heavily than classic SEO signals such as domain age or the number of backlinks. In practice it comes down to a few concrete things:

  • Named experts. A page with a real author, job title and demonstrable experience does better than anonymous text.
  • Concrete, attributable data. A sentence that links a figure to a named source performs better than the same claim without a source citation.
  • Inline source citations. If you refer yourself to studies, researchers or verifiable facts, the model reads that as a sign of reliability.
  • Clear structure. Clear headings, short paragraphs and direct answers make your content easier to extract.

In other words: DeepSeek rewards content that itself follows the rules of good source citation. This is no coincidence. It is precisely the shift from backlinks to brand mentions and substantive authority that characterizes AI visibility. If you want to understand more deeply how a model determines whether something is correct and where it comes from, read about grounding: how AI determines what is true.

Why does the Chinese nature of DeepSeek matter?

Because DeepSeek is a Chinese model, different preconditions apply than with Western assistants, and that has practical consequences for Western B2B brands. The model was originally trained with strong attention to the Chinese language and context, and there are well-documented sensitivities around certain political topics. For most business questions, such as a comparison of suppliers or an explanation of a technical concept, you notice little of this. But it is good to know that the model is not neutral or identical to a Western alternative.

More important for you: the Dutch-language coverage and the amount of Benelux sources DeepSeek takes into account are modest today compared to the large Western players. That is no reason to ignore DeepSeek, but it is a reason to be realistic. For a Benelux B2B brand this is still a small channel. The good news is that the work you do to become visible in ChatGPT and Perplexity largely uses the same foundation, so you do not need to start a separate DeepSeek strategy.

What should you do concretely for DeepSeek?

Focus on one principle: create content that any reasoning model can easily find, understand and cite with confidence. In practice that means:

  1. Answer real questions directly. Open every page and every section with a complete, citable one-sentence answer, and only then build it out.
  2. Put your experts in view. Name, role and experience with the author. Anonymous content misses an authority signal that DeepSeek does weigh.
  3. Back it up with sources. Link figures and claims to verifiable, named sources. That increases your chance of being cited.
  4. Keep your entity consistent. Make sure your company name, description and facts are the same everywhere, so the model recognizes you as one reliable entity. You can read more about this at entity consistency and AI visibility.
  5. Measure first, optimize later. Track whether you show up at all in DeepSeek answers for your core topics before you put a lot of energy into it.

We always steer clients toward leads and revenue, not vanity metrics. DeepSeek is a nice extra channel, but for most Benelux companies it is not where you begin. Start with the assistants where your customers already are, build a strong, citable base there, and that base then works in your favor in DeepSeek automatically. How this fits into a broader GEO approach for B2B you can read in the pillar.

The short summary

DeepSeek searches the web live, shows its sources and chooses per answer whom it cites. It rewards substantive authority: named experts, concrete data, source citations and clear structure. Its Chinese nature and limited Benelux coverage make it a small channel for Western B2B today, but the foundations are identical to those for ChatGPT and Perplexity. Build one strong, citable base and you benefit everywhere.

Want to know whether your brand already shows up in AI answers, and what you can do about it? Take a look at our approach to AI visibility or plan your free intake.

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