# AI Search Optimization for China — Practical Guide

> How DeepSeek, Qwen and Doubao decide whether to surface your brand, the two-stage measurement framework, and what changes US and UK brands can make.

Published: 2026-05-05
Site: https://www.eastbound.ai/ai-search-optimization-china/

## What is AI search optimization for China?

Practice of making your brand findable, citable and recommendable inside the answers DeepSeek, Qwen and Doubao return to Mainland-Chinese consumers. Overlaps with Baidu SEO at the index layer (Baidu's index feeds ERNIE Bot) but the optimisation work is materially different — generative-answer participation, not blue-link ranking.

## Two-stage measurement framework

1. **Citation selection** — does your domain enter the engine's source pool? Failures trace to robots.txt misconfig (frequently: blocking training bots accidentally blocks `OAI-SearchBot`-style retrieval bots), missing llms.txt, weak Bing/Baidu index coverage, CDN geo-blocking.
2. **Citation absorption** — does the page actually shape the answer language? Pages with real numbers, dated comparisons and named entities cited 50%+ more than vague pages. Pages under 500 words rarely absorb. Pure FAQ-format pages underperform. Encyclopedia pages outperform news pages by ~3× per citation.
3. **User-visible mention** — downstream of both. Page can be selected often but absorbed weakly; brand can be absorbed but mentioned only long-tail.

Generic AI-visibility tools collapse all three. Eastbound reports each separately.

## Per-engine differences

| Engine | Mainland-CN source share | Top non-CN | Notes |
|---|---|---|---|
| DeepSeek | 72.3% | Wikipedia 21%, YouTube 20%, Reddit secondary | Most Western-balanced; encyclopedic presence is strongest predictor of mention rate |
| Qwen | 85.0% | Institutional (regulators, professional bodies, academic) | Best for regulated categories; runs on DashScope international |
| Doubao | 88.6% | Minimal | Commerce/lifestyle aggregator lean; SMZDM 72%, Xiaohongshu 64% in handbag panel; runs on BytePlus ModelArk international |

Top-15 Jaccard between the three: 0.20–0.30. Not interchangeable.

Per-engine deep-dives:
- https://www.eastbound.ai/deepseek-seo/
- https://www.eastbound.ai/qwen-optimization/
- https://www.eastbound.ai/doubao-optimization/

## What changes a brand can make (3 layers)

1. **1-hour layer (technical hygiene).** Granular robots.txt (5 buckets), llms.txt, llms-full.txt, sitemap → GSC + Bing, IndexNow, Markdown alternates on top-10 pages.
2. **Multi-week layer (content design).** 1,000–3,000-word pages, specificity over fluff, encyclopedia structure, no FAQ-format padding.
3. **Multi-quarter layer (third-party source-graph publishing).** Baike, Zhihu, Xiaohongshu, SMZDM, Bilibili, vertical media. ~6.5× third-party-vs-self amplification. Regional partners typically needed.

Layers 1+2 testable on your own site. Layer 3 is where moats live.

## What does NOT work

- Schema markup as "universal AI signal" — Bing/Copilot only.
- "Add an FAQ section to boost AI score" — pure FAQ-format pages underperform.
- "Increase content length" generically — only if each chunk adds new info.

## Run the audit

- Free multi-engine audit: https://www.eastbound.ai/ai-visibility-audit/
- Pillar: https://www.eastbound.ai/china-ai-visibility/
- GEO China: https://www.eastbound.ai/generative-engine-optimization-china/
- Agency: https://www.eastbound.ai/china-geo-agency/
- Research: https://www.eastbound.ai/blog/