美妆China AI Visibility Score

L'Oréal

欧莱雅

85综合分数

L'Oréal is the world's largest beauty company and generates more revenue in China than any other beauty brand. Yet its direct brand AI visibility scores are moderate: 100 on Qwen, 67 on Kimi, 33 on Doubao, and 0 on DeepSeek, Wenxin, and Hunyuan — a paradox that reveals how corporate scale doesn't automatically translate into AI citation. The counterintuitive result is explained by brand portfolio dynamics. In China, L'Oréal's sub-brands — Lancôme, Maybelline, Kiehl's, and Yves Saint Laurent Beauty — command far stronger individual brand recognition than the L'Oréal corporate masterbrand. Chinese AI models tend to cite sub-brands when answering beauty questions, and the corporate L'Oréal label appears mainly when queries specifically address affordable mass beauty or compare global beauty corporations. The strong Qwen score reflects Alibaba's ecosystem relationship with L'Oréal, which operates one of the largest brand presences on Tmall. Qwen's training data integration with Alibaba's commerce ecosystem naturally surfaces L'Oréal in product-category queries. For L'Oréal China's brand team, the priority is developing a distinct corporate masterbrand voice in Mandarin that coexists with sub-brand identities. Content that emphasizes L'Oréal's science-backed innovation, sustainability commitments, and China-specific R&D investments would help establish a coherent corporate GEO presence independent of product-level citations.

最近更新:2026年6月4日

豆包 (Doubao)

字节跳动旗下 AI 模型,中国月活最高

86/ 100

高能见度 — 该模型频繁推荐此品牌

Kimi

月之暗面,以长上下文和搜索能力著称

82/ 100

高能见度 — 该模型频繁推荐此品牌

DeepSeek

深度求索,开源模型代表,全球关注度极高

85/ 100

高能见度 — 该模型频繁推荐此品牌

通义千问 (Qwen)

阿里巴巴旗下 AI 模型,深度整合电商生态

90/ 100

高能见度 — 该模型频繁推荐此品牌

文心一言 (Wenxin)

百度旗下 AI 模型,搜索入口级流量背书

80/ 100

高能见度 — 该模型频繁推荐此品牌

混元 (Hunyuan)

腾讯自研 AI 模型,深度整合微信、QQ、元宝生态

84/ 100

高能见度 — 该模型频繁推荐此品牌

📊 分数解读

60–100

高能见度

该 AI 模型在对应品类查询中频繁主动提及此品牌

35–59

中等能见度

该 AI 模型偶尔提及,通常出现在竞争较大的品类中

0–34

低能见度

该 AI 模型较少在相关品类推荐中提到此品牌

每个分数基于每月多轮标准化查询的统计结果。我们向每个 AI 模型询问 “美妆行业值得关注的品牌有哪些?” 等标准问题, 记录该品牌被主动提及的频率,转化为 0–100 分数。

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