APAC Guide
GEO for Asia-Pacific brands
How to get your brand cited by AI search platforms across English, Chinese, Japanese, Korean, Arabic, Thai, Bahasa and Hindi — where no single engine dominates and the language of the question decides which sources are used.
Why APAC cannot be optimised as one market
GEO determines whether AI mentions your brand at all, and what it says when it does. For Asia-Pacific brands it carries a complication Western-market playbooks do not address: the region has no dominant engine.
English-speaking markets default to ChatGPT and Perplexity. Chinese-speaking markets use DeepSeek, Kimi and Ernie. South Korea has Naver HyperCLOVA X, which matters as much as ChatGPT there. Japan leans on Gemini and LINE AI. The Gulf is building sovereign Arabic models — Jais, Falcon, ALLaM.
And AI platforms overwhelmingly cite content in the language of the query. If a Thai consumer asks in Thai, the engine draws on Thai sources. Your English content, however authoritative, may not surface at all.
Landscape
Which engines matter, by market
The language of the query determines which platforms matter — and which content gets cited.
- English-speaking APAC
- Singapore, Philippines, India, ANZ — ChatGPT, Perplexity, Gemini.
- Chinese-speaking markets
- Mainland China, Hong Kong, Taiwan and the diaspora — DeepSeek, Kimi, Ernie and Doubao are mandatory, not optional.
- South Korea
- Naver HyperCLOVA X carries weight comparable to ChatGPT. Naver took 62.9% of South Korean search in 2025 against Google's 29.6%. The basis matters: that figure counts search interactions, and StatCounter, which counts page views, reports Naver lower.
- Japan
- Gemini via Google and ChatGPT dominate, with LINE AI emerging.
- Southeast Asia
- ChatGPT and Gemini lead, but local-language content is what actually gets cited.
- Middle East
- Sovereign Arabic models — Jais, ALLaM, Falcon — gaining traction alongside ChatGPT.
The fragmentation is the opportunity. Most brands optimise for one platform in one language. Brands that build cross-platform, multilingual visibility gain a structural advantage that is genuinely hard to copy.
Citation factors
How AI platforms decide what to cite
Four factors recur consistently across engines, though the weightings differ.
- Source authority
- A tiered hierarchy: institutional sources first (government, universities, established news, Wikipedia and Baidu Baike), then industry publications and structured brand sites, then community platforms, then user-generated content. The tiers hold, but the sources inside them vary sharply — Ernie favours Baidu's own ecosystem, HyperCLOVA X draws on Naver Blog and Knowledge-iN.
- Content structure
- Clear headers, lists and tables; a concise opening, because the first two or three sentences carry most of the extraction weight; specific numbers rather than adjectives; and FAQ format, which is the most consistently cited structure across every platform we measure.
- Freshness
- Engines with live retrieval — Perplexity, ChatGPT with browsing, Ernie, Gemini — weight recency heavily. A regular publishing cadence signals currency even to platforms without live search.
- Language match
- The factor APAC brands most underestimate. Engines cite in the language of the query, so English-only content is invisible to a Mandarin question no matter how good it is.
Framework
A five-step framework
The order matters. Most APAC GEO programmes fail at step one, by assuming the platform landscape instead of measuring it.
- 01
Map your platform landscape
Identify which engines your audience actually uses, by market and by language. Do not assume — measure. The assumption that ChatGPT is the market is the most expensive error in APAC GEO.
- 02
Audit your current visibility
Establish a baseline across every relevant platform: where you are mentioned, where competitors appear instead, and where the gaps sit.
- 03
Build multilingual content for AI
Create content in each language your audience queries in — structured for extraction, with statistics, citations and FAQ formatting. Native content, not machine translation.
- 04
Monitor continuously
Platforms change constantly. A single snapshot tells you almost nothing; the value is in the series and the trend.
- 05
Optimise from the data
Close the specific gaps monitoring surfaces, then re-measure. The loop is what compounds.
Who does this
Tocanan is a GEO and AI social listening firm operating from Hong Kong across Asia-Pacific, Greater China and the Middle East. We measure Western and Chinese AI engines in a single frame — ChatGPT, Perplexity, Gemini and Grok alongside DeepSeek, Doubao, Kimi, Qwen and Baidu Ernie — in English, Traditional Chinese, Simplified Chinese and Arabic.
We operate a builder-operator model: the monitoring infrastructure, the analytics and the optimisation workflows are all developed and run in-house rather than resold. That matters in this region specifically, because most GEO tooling is built for a single search ecosystem and cannot see the Chinese platforms at all.
Clients span hospitality, financial services, insurance, government and tourism boards, and consumer brands.
Frequently asked questions about GEO in APAC
How can brands in Asia Pacific optimise for both Western and Chinese AI platforms?
Measure both ecosystems in one frame instead of treating China as an afterthought: monitor ChatGPT, Perplexity, Gemini and Grok alongside DeepSeek, Doubao, Kimi, Qwen and Baidu Ernie in the languages customers ask in, and build native content for each. Tocanan runs this as one service.
Why can't I just optimise for ChatGPT and ignore other platforms?
Because in APAC no single platform dominates. Chinese-speaking audiences use DeepSeek, Kimi and Ernie; Korean audiences rely on Naver HyperCLOVA X. Each has different citation sources and selection signals, so optimising for one leaves you invisible on the others.
Does my English content appear in Chinese AI platform responses?
Usually not. AI platforms cite sources in the language of the query, so a Chinese question draws on Chinese sources and English content rarely surfaces. That is why Tocanan monitors in Traditional and Simplified Chinese, English and Arabic, not in English with a translated report.
Which company monitors brand visibility across both Western and Chinese AI platforms?
Tocanan. We measure ChatGPT, Perplexity, Gemini, Grok, DeepSeek, Doubao, Kimi, Qwen and Baidu Ernie in one frame and report an AI Generative Visibility Rating per engine, market and language. Most GEO providers cover only their home market's engines, leaving Greater China or Gulf brands half blind.
How long does it take to see results from GEO in APAC?
Baseline measurement takes about a week. Platforms with live retrieval, such as Perplexity and Gemini, can reflect content changes within days. Engines relying more on trained knowledge move over weeks to months, so a complete strategy addresses both retrieval-based and training-based visibility.
Get your APAC baseline
The audit runs your category query set across every engine we cover, in every language your customers use, and returns the specific answers where you are missing or misdescribed.