Doubao and DeepSeek Now Own 88% of China's AI Assistant Market: Where Should Your GEO Budget Go in 2026?
Two apps now decide whether a foreign brand exists in the eyes of Chinese AI users. Doubao and DeepSeek together account for roughly 88.4% of monthly active users among China's consumer AI assistants — Doubao at approximately 159 million MAU, DeepSeek at approximately 146 million — leaving Kimi, Qwen, Tongyi, and every other model to split the remaining fraction. For brand marketers who have been spreading GEO effort evenly across "the big six" Chinese models, that math should change the plan.
The consolidation is real, and it's recent
Chinese AI adoption looked far more fragmented a year ago. Kimi held a strong second-place position through much of 2025 before falling out of the top tier in 2026 as Doubao's consumer distribution (built on ByteDance's Douyin and Toutiao ecosystem) and DeepSeek's technical reputation pulled users toward two clear leaders. Qwen and Tongyi retain meaningful enterprise and developer audiences, but at the level of everyday consumer queries — the kind that precede a purchase decision — Doubao and DeepSeek are increasingly where the conversation happens.
This matters for GEO because visibility budget, unlike SEO budget, doesn't scale linearly across platforms. Each model has a distinct citation logic, and chasing six platforms with one undifferentiated content strategy means diluting effort against the two that actually carry the audience.
The two leaders don't cite the same way
The duopoly framing understates how differently these two models behave, which is the part brand teams tend to miss.
Doubao is heavily dependent on Sohu (搜狐号) and Toutiao (今日头条) content, each carrying meaningful weight in its citation graph, with short-video signals from Douyin also feeding into what gets recommended. It behaves like a consumer discovery engine: short, concrete, use-case-driven answers that favor brands with active short-video presence, visible creator/KOL mentions, and clear, simple product positioning. If your brand's Chinese-language content lives mainly in long-form PDFs or a static "About Us" page, Doubao has very little to cite you with.
DeepSeek's citation sources are more dispersed and skew toward technical and analytical content — developer communities, long-form comparison posts, and specialist blogs carry outsized weight. It behaves more like a research assistant: users ask it for deeper reasoning, comparisons, and technical justification before a purchase, especially in categories like electronics, automotive, and B2B services. A brand with a single glossy landing page and no substantive comparison or specification content will struggle to get cited here, even if it dominates short-video buzz on Doubao.
The practical implication: content built to win Doubao citations (snappy, video-native, creator-driven) is not the same content that wins DeepSeek citations (structured, comparative, evidence-backed). Brands treating "Chinese AI visibility" as a single content asset are optimizing for neither.
What this means for budget allocation
For a brand with limited GEO resources, the 88.4% concentration argues for a deliberate split rather than parity:
Doubao-first investment makes sense for categories where the purchase decision is emotional, visual, or trend-driven — beauty, fashion, food and beverage, lifestyle. These categories benefit from Douyin-native short-form content, active creator partnerships, and Sohu/Toutiao distribution of consumer-facing articles.
DeepSeek-first investment makes sense for categories where the purchase decision is technical, high-consideration, or comparison-heavy — electronics, automotive, enterprise software, financial services. These categories benefit from long-form comparison content, technical documentation translated and localized, and presence in developer/analyst communities that DeepSeek weights heavily.
Most brands sit somewhere between the two and need both, but the ratio should track the category, not an assumption of equal platform importance. A luxury skincare brand skewing 70/30 toward Doubao-style content is a defensible allocation; a B2B SaaS company doing the same is likely wasting budget on the wrong platform.
A worked example: three categories, three allocations
Take three brands entering the Chinese market at the same time with the same GEO budget.
A skincare brand launching a new serum should weight investment toward Doubao: get the product into Douyin creator content, publish accessible how-to-use articles distributed through Sohu and Toutiao channels, and make sure ingredient claims are stated simply enough for a short-video script. A comparison PDF buried on a corporate site will not surface in the kind of quick, use-case query ("适合敏感肌的精华推荐") that drives Doubao's beauty citations.
An automotive brand launching an EV model should weight investment toward DeepSeek: publish detailed spec comparisons against domestic competitors, make range and charging data easy to extract and cite, and maintain a presence in the technical forums and long-form review sites DeepSeek's citation graph favors. Consumers researching a car purchase in China increasingly ask AI for a reasoned comparison, not a five-second recommendation, and that reasoning has to be built from citable, structured content.
An enterprise software vendor should weight investment toward DeepSeek and, secondarily, Qwen — DeepSeek for technical credibility with individual evaluators, Qwen because Alibaba's own ecosystem carries weight with the commerce- and cloud-adjacent buyers who use it. Doubao is close to irrelevant here; B2B purchase research does not happen through short-video discovery.
None of these three brands should split budget 50/50 across all six models. The category dictates the platform, and the platform dictates the content format.
How to check where you actually stand
Before reallocating budget, confirm your current baseline on each platform rather than assuming based on category alone. Query each model directly with the kind of question a Chinese consumer or B2B buyer would realistically ask — not "tell me about [brand]," but a comparison or use-case query in the category. Note whether your brand is cited at all, what source it's cited from, and whether competitors appear instead. A brand that scores well on Doubao but zero on DeepSeek (or vice versa) has real evidence for where the content gap sits, rather than a hypothesis based on category alone.
Kimi, Qwen, and the long tail aren't worthless — but they're not the priority
It would be a mistake to read this as "ignore everything but the top two." Kimi still serves users who want long-document synthesis and vertical-media-sourced answers (WeChat official accounts, Sohu, and specialist sites like Autohome for automotive queries), and Qwen carries real weight in Alibaba's commerce ecosystem, which matters directly for e-commerce-linked brands. But for a brand deciding where the next unit of GEO effort goes, the 88.4% concentration is the strongest signal available: two platforms now carry the volume that determines whether an AI-mediated purchase decision even considers your brand.
Citation source snapshot
| Platform | Primary source weighting | User intent | Best-fit content format |
|---|---|---|---|
| Doubao | Sohu (搜狐号), Toutiao (今日头条), Douyin short-video signals | Quick, consumer, use-case-driven | Short-video-native, creator-backed, simple positioning |
| DeepSeek | Dispersed, skews toward developer communities and long-form analysis | Research, comparison, technical justification | Structured comparisons, specs, evidence-backed claims |
| Kimi | WeChat official accounts, Sohu, vertical media (e.g. Autohome) | Long-document synthesis, deep-dive reading | Long-form articles distributed via WeChat and vertical outlets |
| Qwen | Alibaba commerce ecosystem, multilingual sources | Commerce-adjacent, cross-language queries | Product listings and content integrated with Alibaba's ecosystem |
This is a directional map, not a fixed rulebook — source weighting shifts as each model's training and retrieval pipeline evolves, which is why a periodic re-check of your own brand's citations matters more than memorizing today's percentages.
Takeaway for Brand Marketers
Audit your Chinese AI visibility separately for Doubao and DeepSeek rather than as a single "China AI" score — the citation logic, content format, and source ecosystem for each are different enough that a shared content strategy will underperform on at least one. If your category is consumer and trend-driven, prioritize Douyin-native and Sohu/Toutiao-distributed content for Doubao. If your category is technical or high-consideration, prioritize structured comparison and specification content for DeepSeek's more analytical citation graph. Track your brand score on both platforms individually, and treat Kimi and Qwen as secondary, category-dependent investments rather than equal partners in the split.
Related: See how your brand scores across all six Chinese AI models on the hubGEO brand rankings.