Getting Recommended by DeepSeek: What Brands Need to Know About China's Leading AI

Learn how to get recommended by DeepSeek and improve your DeepSeek brand visibility. Understand how DeepSeek's Chinese-internet training data affects brand recommendations and what to do about it.

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DeepSeek Is Not a ChatGPT Clone

Most Western marketers make a critical mistake with DeepSeek: they assume it works like ChatGPT with a different logo. It does not.

DeepSeek is a Chinese-built AI model, and its training data composition reflects that origin. The Chinese internet is massive — over a billion users generating content in Mandarin across platforms that most Western marketers have never heard of. DeepSeek has ingested a significant portion of this content, alongside English-language sources.

This creates a fundamentally different recommendation engine. The brands DeepSeek knows, the sources it trusts, and the way it evaluates authority are all shaped by the Chinese internet ecosystem. If you want DeepSeek to recommend your brand, you need to understand that ecosystem — even if your brand is entirely English-language.

Where DeepSeek Gets Its Information

DeepSeek's training data draws from both Chinese and English sources, but the weighting matters. Based on testing across hundreds of brand queries, here is what I have observed about DeepSeek's information hierarchy:

Primary Sources (Highest Influence)

  • Baidu Baike — China's equivalent of Wikipedia, and arguably more influential within DeepSeek than Wikipedia itself. If your brand has a Baidu Baike entry, DeepSeek is far more likely to know about you.
  • Zhihu — China's equivalent of Quora, but with deeper, more technical discussions. Zhihu answers are heavily represented in DeepSeek's training data.
  • Chinese tech media — Sites like 36kr, Huxiu, and PingWest that cover technology and business in Chinese.
  • WeChat Official Accounts — Long-form articles published on WeChat are indexed and frequently cited in Chinese AI training data.

Secondary Sources

  • English-language Wikipedia and Wikidata — DeepSeek does use these, but they carry less weight than they do in ChatGPT.
  • English-language tech publications — TechCrunch, The Verge, Wired, etc. are in the training data, but with less emphasis than Chinese equivalents.
  • GitHub and technical documentation — DeepSeek has strong technical capabilities and its training data includes significant code and documentation content.
  • Academic papers — Both English and Chinese academic content, with Chinese papers potentially better represented than in Western AI models.

Lower Influence

  • English-language forums like Reddit — Present but less weighted compared to Zhihu and Chinese forums.
  • English-language review sites — G2, Capterra, TrustPilot appear in the training data but with lower prominence.

This hierarchy has a profound implication: a brand that is famous in the English-speaking world may be unknown to DeepSeek, while a brand that is well-known on Chinese platforms may be prominently recommended.

The Language Gap Is Real

I ran an experiment. I asked DeepSeek to recommend project management tools, CRM software, and marketing platforms — all in English. Then I asked the same questions in Chinese.

The results were strikingly different. The English-language responses included mostly global brands (Asana, Salesforce, HubSpot) but occasionally featured Chinese alternatives that are virtually unknown in the West. The Chinese-language responses heavily favored Chinese platforms (Feishu, Teambition, WeCom) with global brands appearing less frequently.

This means the language of the query affects which brands DeepSeek recommends. And since many DeepSeek users — especially in China and Southeast Asia — query in Chinese, your brand needs Chinese-language representation to capture that audience.

Strategy for International Brands Entering China

If your brand is based outside China and you want DeepSeek visibility, here is the reality: you need a Chinese internet presence. There is no shortcut.

Step 1: Create a Baidu Baike Entry

This is the single highest-impact action for DeepSeek visibility. Baidu Baike is to the Chinese internet what Wikipedia is to the English internet — the default knowledge base that AI models treat as authoritative.

Creating a Baidu Baike entry requires:

  • Content written in proper Mandarin (not machine translation — native quality)
  • Citations from Chinese-language sources (this is the hard part for foreign brands)
  • Compliance with Baidu Baike's editorial guidelines

If your brand has been covered by any Chinese media outlet, that coverage can serve as a citation source. If not, getting Chinese media coverage should be your first priority.

Step 2: Build a Zhihu Presence

Zhihu is where Chinese professionals discuss and recommend products. Having your brand mentioned in Zhihu answers — particularly in high-upvote answers to recommendation queries — directly impacts DeepSeek's brand knowledge.

Two approaches:

  • Organic: Create an official Zhihu account, answer questions in your industry, and provide genuinely useful information. Over time, other users will mention your brand in their answers too.
  • Earned: Get Chinese industry experts or KOLs (Key Opinion Leaders) to mention your brand in their Zhihu answers. This carries more weight than self-promotion.

Step 3: WeChat Official Account

Publishing articles on WeChat Official Accounts creates content that enters the Chinese internet ecosystem and becomes part of future training data. Even if you only publish monthly, having a WeChat presence puts your brand information into a source that DeepSeek heavily draws from.

Step 4: Chinese-Language Website

A properly localized Chinese website (not just Google Translate output) serves multiple purposes:

  • It gives Baidu something to index, improving your presence in Baidu search results
  • It provides Chinese-language content that may enter AI training data
  • It signals to Chinese users and AI models that your brand takes the Chinese market seriously

Strategy for Chinese Brands Going Global

If you are a Chinese brand with strong DeepSeek visibility but weak visibility in ChatGPT or Gemini, you face the opposite challenge.

Your DeepSeek Advantage

You likely already have strong Baidu Baike entries, Zhihu mentions, and WeChat content. DeepSeek probably recommends you accurately and prominently. This is your home turf.

Building English-Language Authority

To extend your visibility to ChatGPT and Gemini:

  • Wikipedia and Wikidata — Create English-language entries with proper citations from English-language sources. This is the most direct equivalent to your Baidu Baike presence.
  • English-language content marketing — Publish on your English website, contribute to English-language publications, and engage on platforms like Reddit, LinkedIn, and industry forums.
  • Western review platforms — Get listed and reviewed on G2, Capterra, TrustPilot, and category-specific review sites. These are heavily weighted in ChatGPT's training data.
  • International media coverage — Pitch stories to English-language tech and business publications. A single TechCrunch article can significantly boost your ChatGPT visibility.

The Bilingual Content Strategy

The most effective approach for Chinese brands going global is maintaining parallel content in both languages. Not just translation — creating content tailored to each audience:

  • Chinese content optimized for Zhihu, Baidu, and WeChat (maintains DeepSeek visibility)
  • English content optimized for Wikipedia, Reddit, and Western publications (builds ChatGPT and Gemini visibility)

Baidu Baike vs Wikipedia: A Direct Comparison

Understanding how these two knowledge bases differ helps you prioritize your efforts.

AspectBaidu BaikeWikipedia
LanguageChinese onlyMultilingual (English primary)
Editorial modelReviewed by Baidu staffCommunity-edited with guidelines
Notability thresholdLower — more brands can get entriesHigher — strict notability criteria
Commercial contentMore tolerant of promotional languageStrictly neutral, removes promotion
AI influenceHigh for DeepSeek, Kimi, other Chinese modelsHigh for ChatGPT, Gemini, Western models
Creation difficultyModerate — needs Chinese citationsHigh — needs significant independent coverage

The key insight: it is often easier to get a Baidu Baike entry than a Wikipedia page, especially for smaller brands. If you are a mid-size company that does not meet Wikipedia's notability threshold, Baidu Baike may still be accessible — and it directly feeds into DeepSeek's knowledge.

Platform-Specific Tactics That Actually Work

Zhihu: The Recommendation Engine

When Chinese users ask "what is the best X" on Zhihu, the top answers become training data for DeepSeek. To get your brand into these answers:

  • Identify the key recommendation questions in your category on Zhihu
  • Create detailed, genuine answers comparing options in your space (including your own brand)
  • Focus on answers that provide real value — Zhihu users are sophisticated and downvote obvious advertisements
  • Engage consistently over months, not as a one-time campaign

WeChat: The Long-Form Authority Builder

WeChat Official Account articles are like blog posts within the WeChat ecosystem. They are indexed by Chinese search engines and included in AI training data. Key practices:

  • Publish in-depth articles about your industry, not just product promotions
  • Include data, case studies, and expert opinions
  • Cross-promote from Zhihu and other platforms to build readership
  • Maintain a regular publishing schedule

Bilibili: The Video Angle

Bilibili is China's leading video platform, especially for younger and technically-oriented audiences. Product review videos, tutorials, and comparisons on Bilibili contribute to DeepSeek's brand knowledge. If your product has a visual or technical component, Bilibili content can move the needle.

Measuring Your DeepSeek Visibility

Testing your brand on DeepSeek is straightforward — but you should test in both English and Chinese to get the full picture.

Queries to test:

  • "Recommend the best [your category] tools" (in English and Chinese)
  • "[Your brand name] — what does it do?" (tests whether DeepSeek knows you at all)
  • "[Your brand] vs [competitor]" (tests how DeepSeek positions you)
  • "What are the pros and cons of [your brand]?" (tests depth of knowledge)

Compare responses across engines. RankWeave runs these queries across DeepSeek, ChatGPT, Kimi, and ChatGPT web search simultaneously, making it easy to see where your brand stands on each engine without manual testing.

The Bigger Picture: Why DeepSeek Matters Even If You Do Not Target China

You might be thinking: my brand only serves English-speaking markets. Why should I care about DeepSeek?

Two reasons:

DeepSeek's international user base is growing. Its models are competitive with the best Western AI, and they are free or cheaper to use. Developers, researchers, and cost-conscious users worldwide are adopting DeepSeek. Your potential customers may be using it without you knowing.

DeepSeek's approach influences other models. The training data strategies and model architectures pioneered by Chinese AI labs are being studied and adopted globally. Understanding how DeepSeek works gives you insight into how the broader AI ecosystem is evolving.

Ignoring DeepSeek because you do not target China is like ignoring mobile optimization because your analytics show mostly desktop traffic — by the time the shift is obvious in your data, your competitors have already adapted.

Your DeepSeek Action Plan

If you are a Western brand:

  1. Test your current DeepSeek visibility (English and Chinese queries)
  2. Assess whether the Chinese market matters to your business
  3. If yes: invest in Baidu Baike, Zhihu, and WeChat presence
  4. If no: focus on maintaining strong English-language content that DeepSeek also indexes — Wikipedia, Wikidata, and high-authority publications
  5. Monitor DeepSeek visibility quarterly as its user base grows

If you are a Chinese brand:

  1. Maintain your strong Chinese platform presence (it is your DeepSeek advantage)
  2. Build parallel English-language authority for ChatGPT and Gemini visibility
  3. Create Wikidata and Wikipedia entries in English
  4. Invest in Western review platforms and English-language content
  5. Monitor visibility across all engines to ensure you are not missing any market

For everyone:

  • Do not treat DeepSeek as an afterthought — it is one of the world's most capable AI models with a rapidly growing user base
  • Test regularly, because DeepSeek updates its models frequently and visibility can shift
  • Remember that multi-engine visibility is the goal — no single AI engine captures your entire audience