Pet Food Brands in China's AI Search: Royal Canin Still Leads, but Domestic Challengers Are Closing the Citation Gap in 2026

China's pet economy has become one of the country's most resilient consumer categories — urban dog and cat spending was projected to reach roughly RMB 361 billion by 2026, according to the widely cited Pethadoop industry white paper. Yet while international pet food giants have spent two decades building shelf presence and veterinary endorsements in China, a quieter contest is now deciding who wins the next wave of pet owners: which brands do Doubao, Kimi, DeepSeek, and Qwen actually recommend when a first-time cat owner asks "what should I feed my kitten?"

The answer, based on 2026 brand-ranking data circulating across Chinese consumer platforms and our own category tracking at hubGEO, is more contested than most international marketers assume. Royal Canin (皇家) and Purina (普瑞纳) still anchor the top of most AI-generated recommendation lists — but domestic brands like Myfoodie (麦富迪), Wanpy (顽皮), Pure Natural (伯纳天纯), and fast-rising fresh-food players like Xiang Lang (鲜朗) and Legend Sandy (蓝氏) now appear alongside them with striking regularity. For a category where AI assistants increasingly mediate the first purchase decision, that shift matters enormously.

Why pet food is a high-stakes GEO category

Pet food queries are close to the ideal case for generative AI search. They are high-anxiety (new owners fear making health mistakes), high-frequency (food is replenished monthly), and information-dense (protein percentages, grain-free debates, breed-specific formulas). These are exactly the questions Chinese users have migrated away from Baidu keyword search and toward conversational AI.

The scale of that migration is now well documented. Doubao reached roughly 240 million monthly active users by April 2026, Baidu's ERNIE Bot sits around 210 million, DeepSeek commands more than 180 million MAU as of Q2 2026, and Alibaba's Qwen has crossed 150 million, according to figures compiled in Search Engine Land's analysis of China's fragmented search ecosystem. When a user base of that size asks "十大猫粮品牌" (top ten cat food brands) inside a chat window instead of a search results page, the AI's answer is the shelf.

And unlike luxury or automotive — categories where Chinese AI models tend to defer to long-established international brand hierarchies — pet food is a category where the underlying Chinese-language content ecosystem has been rewritten in the past three years by domestic players.

Who the models cite: the 2026 brand landscape

Cross-referencing the 2026 top-ten lists published by Chinese brand-ranking platforms Chinapp (中国品牌网) and Maigoo (买购网) — both of which are frequently retrieved and cited by Chinese AI models answering category queries — a clear two-tier structure emerges:

Three observations stand out from this landscape.

First, the international brands that remain consistently cited are those with deep veterinary and prescription-diet credentials. Royal Canin's breed-specific formulas and clinical positioning give AI models exactly the kind of authoritative, structured claims they prefer to repeat. When a model needs to justify a recommendation — and Chinese models increasingly show their reasoning — "recommended by veterinarians for specific breeds" is a safer sentence to generate than a lifestyle claim.

Second, premium import brands like Orijen and Instinct occupy a strange middle zone. They enjoy passionate advocacy in Xiaohongshu and Zhihu ingredient-analysis content, which means models like Kimi — the long-document research specialist — surface them readily when users ask comparative nutrition questions. But their thinner official Chinese-language presence means they are more often cited as "premium alternatives" than as default answers, and they are more vulnerable to hallucinated availability and pricing details.

Third, the domestic challengers earning citations are not winning on heritage — they are winning on content volume and freshness. Myfoodie and Wanpy blanket Douyin and Tmall with product content that flows directly into the training and retrieval ecosystems of Doubao (ByteDance) and Qwen (Alibaba) respectively. This is the platform-flywheel effect we have documented repeatedly across categories at hubGEO: a brand's visibility in a Chinese AI model correlates strongly with its footprint on that model's parent ecosystem.

The model-by-model split brand teams should expect

The six major Chinese models do not treat pet food identically, and the differences map onto their user bases and data ecosystems:

Doubao behaves like the mass-market gateway. Its answers skew toward brands with strong Douyin commerce presence and price accessibility — favorable terrain for Myfoodie and Wanpy. For international brands, Doubao is where first impressions form for lower-tier city pet owners who may never have encountered the brand in offline retail, a dynamic KAWO's analysis of AI search and brand discovery in China also highlights across consumer categories.

Kimi is where the ingredient-obsessed researcher lives. Users paste in nutrition labels, ask for protein-source comparisons, and request breed-specific feeding plans. Brands with detailed, technically substantive Chinese-language content — clinical trial references, transparent sourcing documentation — punch above their weight here. This is the model where premium imports can outperform their mass-market visibility.

Qwen leans commerce. Its Alibaba lineage makes it unusually responsive to Tmall listing quality, review corpus depth, and official flagship-store signals. A brand with a neglected Tmall presence will feel that neglect in Qwen's answers.

DeepSeek, with its technically sophisticated user base, is disproportionately queried for evidence-based questions — grain-free controversies, AAFCO versus Chinese national standard (GB) comparisons. Brands that have published substantive Chinese-language responses to these debates get cited; brands that have only published marketing copy do not.

This fragmentation echoes what B2B-focused AEO analysis of the Chinese market has found across sectors: China-facing AI visibility in 2026 requires Chinese-language entity clarity, answer-first content, and citation paths on the platforms each model actually retrieves from — not translated SEO pages.

The vulnerability international brands are underestimating

The most important pattern in our category tracking is directional: international pet food brands' citation share is stable at the top but eroding at the edges. Two forces drive this.

The freshness problem: Chinese AI models demonstrably over-weight recent, high-engagement Chinese-language content. Domestic brands publish daily; many international brands' Chinese content operations still run on quarterly campaign cycles. In a category where "2026年最新猫粮推荐" is a template query, a brand whose most-cited Chinese content dates from 2024 is quietly aging out of the answer set.

The fresh-food category shift: the fastest-growing product segment — gently cooked and fresh pet food, where Xiang Lang and Legend Sandy have built their positioning — is a segment where international incumbents have little Chinese-market presence at all. When AI models answer "主食冻干哪个牌子好" (which freeze-dried staple food brand is good), the candidate set is almost entirely domestic. Category innovation is creating query categories where international brands are structurally absent.

One more structural note for global teams benchmarking against Western AI search: none of the dynamics above can be extrapolated from a brand's performance in ChatGPT or Perplexity. The retrieval sources, the citation-worthy platforms, and even the category vocabulary (主食罐, 冻干, 全价粮) are China-specific. Brands that scored well in Western generative engines routinely arrive in China with near-zero visibility across all six domestic models — a gap we see repeatedly in first-time audits.

Takeaway for Brand Marketers

If you manage an international pet care brand in China, treat AI visibility as a category-defense problem, not a branding vanity metric. Concretely: first, audit your brand's citation presence across all six major models, not just one — the Doubao/Qwen/Kimi split means your visibility can vary dramatically by model, and each maps to a different buyer segment. Second, invest in technically substantive Chinese-language content (nutrition standards, clinical backing, sourcing transparency) because that is what Kimi and DeepSeek retrieve and repeat, and it is the hardest content for domestic challengers to counterfeit quickly. Third, close the ecosystem gaps: an under-maintained Tmall flagship store now costs you Qwen citations, and absence from Douyin commerce costs you Doubao mentions. Finally, watch the fresh-food segment — if your brand has no Chinese-language answer for the fastest-growing query categories, AI models will fill that silence with domestic names.

The pet food category shows where every consumer vertical in China is heading: AI models reward whoever feeds them the most credible, most recent, most ecosystem-native content. Heritage still earns the top slot — but it no longer earns it unconditionally.

Related: Explore brand-level visibility scores across Doubao, Kimi, DeepSeek, Qwen, Wenxin, and Hunyuan on our /brands page, or read our analysis of how category dynamics differ — why food brands outperform luxury in Chinese AI search.