# DeepSeek vs Qwen vs Doubao: why the same brand looks different on every Chinese AI

*By Eastbound Research · 9 May 2026*

Three Chinese-trained AI engines, asked the same Mandarin consumer question, surface different corners of the Chinese internet. DeepSeek leans encyclopedic. Doubao leans commerce and lifestyle. Qwen leans regulatory and institutional. The off-site presence a brand needs to build is engine-specific. A single GEO playbook for "Chinese AI" doesn't survive the data.

For most of the search era, marketers operated on a comfortable assumption: search engines were largely interchangeable. That assumption broke when AI replaced search. Generative engines don't surface a page; they write an answer. And what they reach for to write that answer is different on every engine.

The practical consequence: **a brand can dominate one Chinese AI's recommendation set and be effectively absent from another's**, because they're simply pulling from different shelves of the library. Top-15 source overlap between any two of them is just 20–30%. The differences are large, stable, and consistent enough to plan around.

**Chinese AI source overlap** is the share of websites that any two engines (DeepSeek, Qwen, Doubao) both name when asked which sources they relied on for a brand recommendation. We measure it as a top-15 Jaccard score per category. In our 2026 panel, the overlap sits at 20–30% — meaning 70–80% of each engine's source pool is unique to that engine.

## The Universal Five Mainland Chinese sources every China-facing brand needs

Before the divergence, the agreement. Despite drawing from very different source pools, the three engines do agree on five Mainland-Chinese platforms, and they showed up in every single test cell we ran. They are the floor.

> **Zhihu (知乎) · SMZDM (什么值得买) · Xiaohongshu (小红书) · Bilibili · Dianping (大众点评, services only)**

The most concentrated of the five is **SMZDM (什么值得买**, "What's Worth Buying"**)**: cited in the top 3 of every engine, with mention rates of **91% / 56% / 72%** across DeepSeek, Qwen and Doubao. SMZDM is a Mainland-Chinese deal-and-review aggregator that publishes long-form, structured, ranked product comparisons. That format is exactly what these engines reach for when answering Mainland-Chinese consumers, regardless of which company built the engine.

The Universal Five define the **Mainland-China minimum-viable AI footprint**.

## DeepSeek, Qwen, Doubao personalities — how each Chinese AI picks sources differently

The remaining 70–80% of each engine's source pool is where the divergence lives. Three different kinds of advisor, each with their own taste in evidence.

### DeepSeek (深度求索): the academic friend

The friend who reads a lot, treats Reddit as legitimate research, and prefers a long-form Zhihu answer. Defaults to **community Q&A and explainer content**.

- **Zhihu (知乎)**: 100% of responses (every single one)
- **SMZDM**: 91%
- **Xiaohongshu**: 89%
- **Bilibili** long-form videos: 74%
- **Reddit**: 63% (the highest-cited Western source)
- **Wikipedia** at 21% and **YouTube** at 20% (next two Western sources)

### Qwen (通义千问): the credentialed bureaucrat

Leans on the same mainstream consumer platforms (Zhihu 61%, SMZDM 56%) but uniquely adds **government registries and professional-body sources** the other two engines never meaningfully cite:

- For toothpaste: the **Chinese Stomatological Association (中华口腔医学会)** and the **NMPA**
- For dental clinics: the **National Physician Registry** and **DXY (丁香医生)**
- For services: the **National Enterprise Credit Registry (国家企业信用信息公示系统)**
- For appliances: the **China Household Appliance Research Institute**

These institutional sources never appear meaningfully on DeepSeek. They are a Qwen signature.

### Doubao (豆包): the savvy shopper

The friend who sends you Tmall links with "look at the comments." Defaults to **commerce + lifestyle KOL**.

- **SMZDM**: 72% (its #1 source, even ahead of Zhihu)
- **Xiaohongshu**: 64%
- **Zhihu**: 59%
- **Bilibili**: 47%
- Niche vertical forums: **iCard Forum (我爱卡论坛)** for credit cards, **Qichacha / Tianyancha** for B2B verification

## How Chinese AI brand recommendations shift across tech, FMCG, and services

The personalities aren't fixed; they amplify or quiet down depending on category.

| Category | How the AIs behave |
|---|---|
| **Tech products** (smartwatches, vacuums, headphones) | All three lean on SMZDM + Bilibili tech reviews + Zhihu. |
| **FMCG** (toothpaste, shampoo) | Qwen and Doubao bring in regulatory and professional sources (Chinese Stomatological Association, NMPA, DXY). DeepSeek goes to Wikipedia for ingredient explanations. |
| **Services** (dental, banking, fitness, renovation) | All three suddenly cite **Dianping (大众点评)** for the first time. Qwen leans on government registries for vendor verification. DeepSeek surfaces niche-community forums (FlyertEa 飞客茶馆 for credit cards). |

*Which Chinese AI should I optimise for first?* It depends on category and audience. A toothpaste brand needs a different source-presence strategy than a robot-vacuum brand.

## The Doubao Mainland-content bias and the Qwen institutional-source bias — replicated across two runs

Beyond the Universal Five and the three personalities, each engine carries a directional tilt that matters for where you spend GEO budget.

- **DeepSeek tilts hardest into community Q&A depth.** Zhihu cited in 100% of responses. Reddit at 63% is the highest-cited Western source.
- **Qwen tilts toward institutional and regulatory backing.** Industry bodies, regulators, and national registries appear meaningfully on Qwen and essentially never on DeepSeek.
- **Doubao tilts toward Mainland-Chinese consumer content.** This is the most-replicated of the three tilts.

### Brand recall: share of top-8 brands that are Mainland-Chinese

| Panel | DeepSeek | Qwen | Doubao | Doubao gap |
|---|---|---|---|---|
| Panel 1 (5 niches) | 35% | 35% | **45%** | +10pp vs both |
| Panel 2 (5 different niches) | 35% | 30% | **45%** | +10pp vs DS, +15pp vs Qwen |

### Source attribution: share of cited sources that are China-domiciled

| Panel | DeepSeek | Qwen | Doubao | Doubao gap |
|---|---|---|---|---|
| Panel 1 (10 categories) | 72% | 85% | **89%** | +4pp vs Qwen, +17pp vs DS |
| Panel 2 (retested next day) | 70% | 83% | **87%** | +4pp vs Qwen, +17pp vs DS |

Two metrics, two independent runs each. **Doubao led on every single one**, with the same gap size in each replication.

If your Mainland-Chinese audience uses Doubao primarily, your visibility starts measurably higher (about +10pp on brand recall) than the DeepSeek / Qwen baseline — but only if your off-site footprint matches Doubao's preferred substrate (SMZDM, Xiaohongshu, Tmall depth, niche forums).

## What this means for your China AI visibility strategy

| If your audience uses… | Top GEO targets, in priority order |
|---|---|
| **DeepSeek** (developers, Cursor users, Tencent Yuanbao) | 1. Zhihu (cited in 100% of answers) 2. SMZDM 3. Xiaohongshu 4. Bilibili 5. Reddit (highest Western source at 63%; Wikipedia 21%, YouTube 20% also meaningful) |
| **Qwen / Tongyi** (Alibaba ecosystem) | 1. Industry & regulatory bodies (Chinese Stomatological Association, NMPA for FMCG; National Physician Registry for services) 2. Government registries 3. Zhihu + SMZDM |
| **Doubao** (ByteDance ecosystem, the largest Mainland consumer-AI platform) | 1. SMZDM (top source at 72%) 2. Xiaohongshu 3. Zhihu 4. Bilibili 5. Niche forums per vertical |
| **Universal Mainland-China baseline** | Zhihu + SMZDM + Xiaohongshu + Bilibili + Dianping (services). These five appear in every test we ran. |

The single most important shift: **treat owned-site optimisation as the foundation, not the whole strategy. The leverage is in the third-party sources the AI cites.**

## Where Eastbound comes in

Eastbound runs the same source-attribution and brand-recall measurement on your specific category and audience-AI mix. Audit-grade output, Mainland-China consumer-voice prompts, all three engines covered. If your team needs to know which third-party sources are doing the work for your category, [run the free China AI visibility audit](https://eastbound.ai/ai-visibility-audit/) on your domain or [book an intro call](https://eastbound.ai/book-consultation/).

## Methodology

- **Sample.** 1,830 API calls across 20 Mainland-Chinese consumer categories, 27 April – 2 May 2026. Two brand-recall panels (5 niches each) and two source-attribution panels (10 categories each, with the second a byte-identical retest of the first).
- **Engines.** DeepSeek (`deepseek-chat`); Qwen-Plus on DashScope international (`dashscope-intl.aliyuncs.com`); Doubao (`seed-2-0-lite-260228`, BytePlus ModelArk international, Lite tier). All API-mode, default decoding (temperature 0.7). Chat-with-Search-ON browsing surface is a separate study.
- **What we measured.** Source-attribution mention rate per (prompt × rep) cell; brand recall in top-8; share of Mainland-Chinese sources / brands. This is descriptive measurement of LLM behavior; it is not a causal claim about training data, retrieval, or human conversion.
- **What we did not measure.** Sales, conversion, attributable revenue. ChatGPT / Claude / Gemini / Perplexity / ERNIE / Yuanbao — not in this panel. Hong Kong, Taiwan, English-speaking, B2B audiences — out of scope.
- **Reliability.** Source-attribution panels: ICC(2,1) ≥ 0.97 across all three engines; Cohen's κ on top-5 source membership = 1.00; all p < 1e-4. Brand-recall pattern replicated across two non-overlapping niche panels. **Caveat:** Doubao long-tail source-ranking is less stable than top-5 (top-15 κ = 0.46) — treat long-tail Doubao findings with that caveat.
- **Limitations.** We cannot guarantee stability across silent vendor model updates; recommend re-testing every 6 months.

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