The APAC AI Search Landscape
Platform Distribution by Market
China:
- Baidu Ernie Bot: 58% market share
- Alibaba Tongyi Qianwen: 22%
- Tencent Hunyuan: 12%
- Moonshot AI (Kimi): 5%
- Other (including ChatGPT via VPN): 3%
Japan:
- ChatGPT: 42%
- Google Gemini: 28%
- Rakuten AI: 18%
- Line AI: 8%
- Other: 4%
South Korea:
- Naver HyperClova: 38%
- ChatGPT: 32%
- Google Gemini: 18%
- Kakao AI: 9%
- Other: 3%
India:
- ChatGPT: 48%
- Google Gemini: 26%
- Jio AI: 15%
- Microsoft Copilot: 7%
- Other: 4%
Southeast Asia (Singapore, Malaysia, Thailand, Indonesia, Philippines, Vietnam):
- ChatGPT: 52%
- Google Gemini: 31%
- Regional platforms: 12%
- Other: 5%
Australia/New Zealand:
- ChatGPT: 61%
- Google Gemini: 28%
- Microsoft Copilot: 8%
- Other: 3%
Key insight: Global platforms (ChatGPT, Gemini) dominate in most APAC markets except China and South Korea, where local platforms hold majority market share. Successful APAC GEO requires platform-specific strategies for China and Korea, and more globalized approaches for other markets.
Language and Script Considerations
APAC's linguistic diversity creates unique AI search challenges:
Major Language Groups:
- Chinese (Simplified and Traditional): 1.3B speakers
- Japanese: 125M speakers
- Korean: 82M speakers
- Hindi: 600M speakers
- English: Widely used as business language
- Southeast Asian languages: Thai, Vietnamese, Indonesian, Malay, Tagalog
AI Citation Patterns by Language:
- Chinese queries: 67% cite Chinese-language sources
- Japanese queries: 72% cite Japanese-language sources
- Korean queries: 78% cite Korean-language sources
- English queries in APAC: 54% cite APAC sources, 46% cite Western sources
Strategic implication: Multi-language content is essential for APAC GEO. English-only content limits citation potential to English-language queries, which represent only a portion of APAC AI search activity.