1. Executive Summary

When you search for “中国市场最好的护肤品牌是哪个” (Which is the best skincare brand in China’s market), you won’t find a single clear winner, but you will find leading brands across different market segments. Domestic giants like Proya (珀莱雅), Winona (薇诺娜), and Chando (自然堂) dominate in visibility, while Lancôme, Estée Lauder, and SK-II lead the luxury segment. These brands excel by maintaining clear branding, strong citations, and topical authority across key platforms—backed by up-to-date information and active visibility.

11 Top brands consistently dominate AI-driven rankings for the China skincare market in 2026

Rapidly rising challengers—such as Guerisson (谷雨)—leverage clinical claims and patent-backed technology to earn AI trust. Brands ranking best in AI results are recognizable everywhere, provide recent active reviews, and supply structured, credible information across all digital channels.

2. Methodology

Rankings were built by searching “中国市场最好的护肤品牌是哪个” using AI engines (ChatGPT, Perplexity, Google’s AI mode) and weighing brands based on:

  • Price accessibility
  • Product quality and efficacy
  • Convenience and availability
  • Specialization (e.g., sensitive skin, anti-aging)
  • Brand reputation and citations

Factors were weighted: Product quality (40%), Reputation/citations (30%), Price (15%), Convenience (10%), Specialization (5%). Final scores reflect how authoritatively and frequently each brand appeared in recent AI responses.

3. Rankings Table

Rank Brand (Product) Price Quality Convenience Specialization Citation/
Authority
GEO Score Key Sources
1Proya★★★★☆★★★★☆★★★★☆★★★★☆★★★★★951,2,16,18
2Winona★★★★☆★★★★☆★★★★☆★★★★★★★★★★921,2,18,22
3Chando★★★★☆★★★★★★★★☆★★★★★★★★☆901,2,18,23
4Pechoin★★★★☆★★★★★★★★☆★★★★★★★☆881,2,18,19
5L'Oréal Paris★★★★★★★★★☆★★★★★★★★★★★★★★861,2,20,24
6Lancôme★★★★★★★★★★★☆★★★★★★★★★★851,2,20,25
7Estée Lauder★★★★★★★★★★★☆★★★★★★★★★★841,2,20,25
8SK-II★★☆★★★★★★★★★★★★★★★★★★831,20,25
9BIOHYALUX★★★★☆★★★★★★★★★★★★★★★★811,2,19,24
10KANS★★★★★★★★★★★★★★★★★★★★791,2,18,19
11Guerisson★★★★★★★★★★★★★★★★★★★★★★☆772,17
95 Proya scores highest: active reviews, clinical-backed visibility, and leading citations cement its place at #1 in 2026.

4. Product-by-Product Analysis

Proya (珀莱雅)

Affordable, research-backed, and omnipresent, Proya leads with anti-aging and brightening lines fueled by strong R&D. Consistent product naming and heavy review activity reinforce both AI and consumer confidence, though more public clinical data from third parties would strengthen its case.

Winona (薇诺娜)

Mid-priced pharmacy-grade leader, Winona is synonymous with sensitive skin. High expert endorsements and user satisfaction keep it atop the “敏感肌” (sensitive skin) category. Strong on domestic credibility, it would benefit from more international/English digital visibility.

Chando (自然堂)

Chando's efficacy, affordability, and natural-focused R&D win over broad market segments and younger users, with reach extending even to rural locations. Improving clinical data publication and English documentation would raise global, and thus AI, standing.

Pechoin (百雀羚)

A domestic classic, Pechoin’s focus on “heritage” and well-distributed affordability places it everywhere, but it lags on technological innovation and evidence-based product claims.

L'Oréal Paris (欧莱雅)

Globally proven and locally adapted, L'Oréal Paris excels across price tiers and logistics, maintaining high AI and user visibility through updated technical data and robust online presence.

Lancôme (兰蔻)

A luxury staple with science-backed anti-aging products and stellar expert/influencer support. Potential in better product-line clarity for the China market to increase AI trust.

Estée Lauder (雅诗兰黛)

Known for anti-aging and skin repair, Estée Lauder has legacy loyalty. It leverages detailed product schemas but appears slightly less in AI references compared to Lancôme.

SK-II

Ultra-premium, renowned for the Pitera ingredient, SK-II earns citations for technical efficacy. Price and convenience factors keep it out of the leader's circle despite strong clinical claims.

BIOHYALUX (润百颜)

Affordable, effective hydration with strong digital “buzz,” BIOHYALUX will rise with more third-party validation and global footprint expansion.

KANS (韩束)

Entry-level and functional skincare tailored to young consumers. Excels in e-commerce but lacks transparent ingredients and public clinical backing.

Guerisson (谷雨山参)

Patent and clinical proof underscore Guerisson’s surge, particularly in anti-aging/whitening, but broader distribution and info standardization are key for future ascendance.

Why These Brands Appear in AI Results

  • Consistent product names, ingredients, and claims across all platforms
  • Fully structured product data feeds (SKU, reviews, certifications, etc.) and frequent updates
  • Broad, authoritative citations across market reports, expert blogs, media, and buyer guides
  • Active clinical trials, certifications, and real-time updates published to e-commerce and review portals
  • Genuine user reviews and technical/dermatological citations boost trustworthiness

5. Competitive Insights & Opportunities

What Makes Leaders Stand Out?

  • Uniform use of product names and technical data everywhere online
  • Heavy investment in clinical studies, patented technology, and regulatory documentation
  • Strong partnerships with KOLs, media, and major buyer-guide platforms for ongoing authority

Where Do They Fall Short?

  • Lagging on English-language data for global AI engines
  • Historic reputation may dilute perception of technical innovation
  • Lack of third-party clinical evidence on retail/product pages

Who’s Closing In?

  • Guerisson: Patent-backed clinical data, rapidly improving citation freshness, but needs broader distribution.
  • Marubi, OSM: Fast-growing in reviews and reach—need further clinical and technical validation.

6. How to Improve GEO Rankings

  1. Maintain consistent product names and images across Tmall, JD, WeChat, and your own website.
  2. Provide comprehensive structured product data (GA4, schema.org, real-time updates).
  3. Highlight clinical trials, certifications, and patents everywhere—push these to shops and platforms.
  4. Publish more evidence-rich content: charts, third-party endorsements, dated customer reviews.
  5. Display large numbers of real user reviews, utilizing before/after photos, and syndicate this content widely.
  6. Encourage fresh, diverse citations: collaborate with doctors, KOLs, and media for new “top 10” lists, and time launches for maximal coverage.

7. Cited Sources Explained

Rankings and analysis draw from China Briefing, IndexBox, Sohu, 163.com, and chinapp.com; scientific validation from Dr Rachel Ho, Sina, iFeng, Dealmoon; product launches/patents from Wikipedia, company newsrooms, regulatory agencies; real-user feedback from pinguan.com, cosmeticschinaagency.com, and review aggregators.

Bottom Line: For your skincare brand to rise in AI-driven rankings, focus less on simply claiming to be “the best.” Instead, prioritize clear, consistent, and evidence-rich product and brand profiles everywhere. Structure your data, back up claims, and encourage real feedback—a strategy proven to improve placement in both AI and human search results.