Generative Engine Optimization
Getting cited by Chinese AI models
The large Chinese assistants are not a translated version of the Western ones. DeepSeek, Qwen from Alibaba, Doubao from ByteDance, Baidu's Ernie, and Kimi from Moonshot answer enormous volumes of questions every day, and they draw on a different web than ChatGPT or Gemini. If your buyers are in China, or thinking about China, being absent from these engines is the same mistake as being absent from the Western ones.
The first thing that changes is the sources. Behind the firewall, the reference points shift. Wikipedia gives way to Baidu Baike. The role Reddit plays in the West is filled by Zhihu, the big Chinese question-and-answer platform, and by Xiaohongshu for anything consumer or lifestyle. Reviews live on the domestic ecommerce platforms rather than the ones you know. A model trained and retrieving inside that ecosystem forms its view of you from those places, so a pristine English presence can count for very little.
Language is the second thing, and it is not a formality. These models reason best over genuine, idiomatic simplified Chinese, not machine-translated English. A page that reads as translated is weaker evidence than one written for the audience, and it signals, to the model and the reader alike, that you are not really present in the market.
The underlying discipline is the same as everywhere else. Be findable by the engines that matter, be described consistently across the sources they trust, and state your facts plainly enough to be quoted. What differs is the map. The trusted sources, the platforms, and the language all change, so the work has to be done natively rather than ported over. Done properly, the same brand that earns citations from ChatGPT can earn them from DeepSeek and Doubao too. It just has to show up where those models are actually looking.