How Chinese AI answers are built: inside DeepSeek, Doubao and Baidu AI citations.

A Chinese buyer researching a Mac cleaner in April 2026 does not open Baidu. She opens Doubao, types the question into DeepSeek, or asks Yuanbao inside WeChat. The LLM answers with a short, confident paragraph — often naming three brands and describing each in one line. Those three brands will capture most of the downstream action.

So when foreign brands ask us the question of this year — how do I become one of those three brands? — the honest answer is not a tactic. It's an understanding of how Chinese AI answers are actually built.

The six models matter in different ways

There are six Chinese large language models we optimise for at scale: DeepSeek, Doubao (ByteDance), Baidu AI (Wenxin / ERNIE), Tencent Yuanbao, Alibaba Qwen, and Kimi (Moonshot). They are not a uniform surface. Each one has a distinct distribution channel, audience and grounding behaviour:

• DeepSeek is the default "serious" model for tech-savvy users. Heavy retrieval from public web and English sources.
• Doubao reaches the largest consumer audience through Douyin's integration. Strong grounding in short-video metadata and Xiaohongshu content.
• Baidu AI is tightly coupled with Baidu search, Baidu Baike and Zhihu. If a brand has no Chinese web footprint, Baidu AI will default to English Wikipedia — and sound unsure.
• Tencent Yuanbao lives inside WeChat and has privileged access to WeChat Official Account content.
• Alibaba Qwen is commerce-flavoured and pulls from Taobao / Tmall product catalogues and professional forums.
• Kimi is beloved by research audiences and favours long-form PDFs, whitepapers and news agencies.

A foreign brand that treats these six as "Chinese ChatGPTs" loses. A brand that recognises each one's source preference can engineer for it directly.

What all six actually cite

We ran a systematic study across the top 200 commercial queries in three categories — consumer tech, premium beauty and industrial B2B — and logged which sources the six models cited or paraphrased in their answers. The pattern is clear and repeats across categories:

1. Baidu Baike — the Chinese Wikipedia-equivalent. Cited in 60–80% of answers where the brand has a Baike page.
2. Zhihu — China's Quora. High-authority long-form answers with upvotes are picked up heavily.
3. Xiaohongshu (RED) — lifestyle and product categories. Doubao especially leans on RED for consumer queries.
4. Tier-1 Chinese tech media — 36Kr, TechNode, IT Home, CSDN for technical categories.
5. WeChat Official Account articles — Yuanbao uses these natively; others via crawled mirrors.
6. Taobao / Tmall product pages — commercial categories, especially for Qwen.

If your brand has no presence on the first three of these, Chinese AI models have nothing to cite you from. You are invisible inside the answer layer — even if you rank well on Google in English.

Why foreign brands end up invisible

Three patterns show up in almost every engagement we start:

1. English-only authority

The brand has a strong English website, Wikipedia entry, G2 reviews and TechCrunch coverage. Chinese AI models occasionally translate these, but they lean heavily toward Chinese-language sources when both exist. If the brand has no Chinese Baike entry or Zhihu thread, the model will substitute competitors who do.

2. A dormant WeChat account with no substance

Many foreign brands opened a WeChat Official Account in 2019–2021 and haven't touched it since. These accounts still exist, are indexed, and produce weak answers — often the model literally paraphrases a three-year-old post. A dormant account can actively hurt you.

3. Name confusion

"Estée Lauder" is consistently named across models. "CCleaner" splits into three transliterations. Industrial B2B names are worst — the Chinese internet might know your company by four different names, none of which match the legal English name. Models hallucinate accordingly.

What we do about it

Our GEO methodology has four components, executed in sequence over roughly 90 days:

Audit. We query each of the six models with the 200–500 prompts your buyers actually type, log the answers verbatim, and measure four things: mention rate, citation share, sentiment, and competitor delta. This produces a baseline document you can benchmark against.

Source engineering. We create or upgrade the authoritative Chinese sources that the models actually cite — Baike entry, Zhihu threads, RED content, official WeChat Account editorial, Baidu Zhidao Q&A, tier-1 tech media placements. Each of these is crafted in model-readable structure: short factual sentences, clear attributions, canonical brand naming.

Prompt coverage. We engineer specifically for the hundreds of real prompts identified in the audit — including long-tail comparison, trust, safety and use-case queries. This is where most generic PR campaigns stop short.

Measurement. Weekly tracking. Mention rate moves first (usually 4–6 weeks). Citation share follows. Traffic comes later and compounds.

What foreign brands should do this quarter

If you're evaluating how to start, we'd suggest three concrete moves, in order of priority:

1. Run a one-week AI visibility audit — even a scrappy internal version. Ask each of the six models your five most important category prompts. Copy the answers. You'll immediately see whether the models know you, confuse you, or ignore you.
2. Fix your Chinese name canonicalisation. Pick one official Chinese name, legally register it if needed, and enforce it across every Chinese-language placement. The single biggest lift for most foreign brands is naming consistency.
3. Place one authoritative Chinese source this quarter. A Baidu Baike entry is usually the highest-leverage first step. From there, layer in Zhihu, a tier-1 tech media piece, and a proper WeChat editorial cadence.

The Chinese AI answer layer is still young enough that first movers are compounding rapidly. The brands that set up their source architecture in 2026 will be the default answers for the next five years.