To understand overseas GEO, you must first see where the major overseas AI platforms draw their material from. Source preferences vary significantly across platforms (based on public industry research):

ChatGPT: A brand's own website accounts for about 26.8% of cited sources (the highest of any platform), and it favors pages with strong E-E-A-T signals, rich data, and precise definitions.

Gemini / Google AI Overviews: About 52% of citations come from the brand's own website, preferring complete Schema markup and Knowledge Graph nodes; Wikipedia is an important external source.

Perplexity / Grok: Rely more on community and media discussion (Reddit, LinkedIn, YouTube, X/Twitter) and are sensitive to "real voice."

Claude / Copilot, etc.: Also draw mainly on official websites and authoritative third-party sources, favoring clearly structured, directly extractable factual passages.

The conclusion is clear: the official website is the "official authoritative draft" that overseas AI cites, while Wikipedia, LinkedIn, industry media, and the like are satellite sources orbiting around it. The structure should be "official website as the anchor, with third-party authoritative sources and the social media matrix cross-referencing one another and staying consistent in messaging." If any link is missing, the brand's presence in AI answers will take a hit.

This also surfaces a frequently overlooked point: overseas GEO matches the buyer's semantic intent, not just English keywords. Overseas buyers' phrasing, industry jargon, and decision-making contexts differ from those in China. Content churned out by simple machine translation is hard for AI to recognize as "credible and relevant" answer material. What truly works is semantic-level localization and reconstruction—rewriting brand information in the way target-market users actually ask questions. How many overseas semantic intents a brand covers matters far more than how many times it repeats a word on an English page.

II. Three Core Differences in Brand Overseas GEO

Compared with domestic GEO, going overseas requires crossing three additional hurdles.

1. Cross-cultural adaptation of language and semantics

Going overseas is not "translate Chinese into English and call it done"; it means reconstructing at the semantic level. For the same product, German engineers, U.S. purchasers, and Southeast Asian distributors ask questions in completely different ways. Brand information must be rewritten in the real context of the target market so that AI can match it precisely to the relevant questions. Machine-translated content often carries the traces of "non-native speakers," making it hard for AI to trust and hard to impress local buyers.

2. Rebuilding the source ecosystem

Overseas AI source preferences are entirely different from China's: domestically, platforms favor in-ecosystem sources—Baidu leans on Baidu Baike / Baijiahao / Tieba, Tencent on WeChat Official Accounts / Channels, ByteDance on Toutiao / Douyin—while overseas platforms favor official websites, Wikipedia, LinkedIn, Reddit, and industry media. Cross-border brands must build a source matrix from scratch on major overseas platforms; there is no domestic "homeland" to port over. This is also the main reason many domestic service providers underperform overseas—their capabilities are baked into the Chinese ecosystem and lose their aim in an English-source environment.

3. Data compliance and sovereignty

Regulations such as the EU's GDPR impose compliance requirements on content production and data use. The data sovereignty of the official website and how user information is handled affect how AI and users assess trust in the brand. Overseas GEO must treat compliance as a foundational constraint, not an afterthought patch.

III. New Galaxy AI's Five-Step Overseas GEO Full-Chain

Overseas GEO is not a single action but a full chain:

Step 1: Brand infrastructure — an independent website

Independent code plus an independent cloud server deployment is the brand's "digital territory." AI trusts sites with complete data sovereignty more, and the official website is also the preferred draft cited by every platform. This step determines whether all subsequent sources can be built around a stable anchor.

On asset ownership, New Galaxy AI follows the principle that "website code ownership belongs to the client": the code belongs to the enterprise, and upon service termination both parties cooperate on code handover; domain registration/transfer also names the client as owner. This makes the "digital territory" a brand builds overseas truly controllable and portable, and not lost to a change of service provider.

Step 2: Organic traffic system — Google SEO

Build stable organic traffic through site-wide TDK, Sitemaps, and continuous original blogs. SEO is the foundation of GEO; without a crawlable, clearly structured official website, subsequent AI semantic placement is impossible. Many brands rush into AI exposure without even laying down basic SEO, and get half the results for twice the effort.

Step 3: AI semantic placement — GEO optimization

Optimize specifically for ChatGPT, Gemini, Perplexity, etc., so the brand is prioritized in "best supplier / top manufacturer" type questions. The core of this step is hitting semantic intent, not keyword stuffing—building extractable answer units around overseas buyers' real questions.

LinkedIn, YouTube, Reddit, etc. form a matrix by audience and purpose, creating consistent, reliable external voice around the official website and reinforcing AI's preference for "community consensus." The matrix's role is to ensure that, when answering the same question, different platforms can all find evidence pointing to you, with consistent messaging.

Step 5: Performance acceleration — ads and press releases

Google SEM plus press releases on major European and American media, indexed by Google News, quickly establish the brand's presence in overseas sources. This step shortens the cold-start cycle and pairs with the previous four as "slow groundwork, fast acceleration."

IV. Technical Foundation: How New Galaxy AI's Seven Core Algorithms Support Overseas GEO

Underpinning the five steps above is New Galaxy AI's self-developed technology system. The company holds five computer software copyrights and has built seven core algorithms—GStruct, GSemantic, GEntity, GTrust, GQuery, GScore, and GGraph—covering the full chain from opportunity discovery to effect attribution. In an overseas context, each solves a specific problem:

GStruct Content Structure Algorithm: Breaks long articles into independently extractable "answer atoms" and auto-labels trust signals such as data sources and expert endorsements; value shows in an average 3–5× lift in AI citation rate after structural optimization—especially critical for official-website rework.

GSemantic Semantic Enhancement Algorithm: Translates brand language into expressions easier for different AI platforms to understand, while keeping messaging consistent across platforms; value shows in multi-platform adaptation of the same core semantics, with 94% semantic-recognition accuracy—the core engine for cross-lingual localization and reconstruction.

GEntity Entity Recognition Algorithm: Helps the brand build a clear "ID card" in the AI knowledge graph, identifying and disambiguating core entities such as brand, products, and people; value shows in making the brand a clear, identifiable, and linkable entity node in AI knowledge representation—avoiding confusion with competitors or same-named companies after going overseas.

GTrust Authority Evaluation Algorithm: Scores the brand's AI credibility across six dimensions—experience, expertise, authority, trustworthiness, freshness, and consistency—and points out which trust signals to add; overseas, it is especially important to build up local authoritative sources.

GQuery Question Mining Algorithm: Mines users' real questions from AI platforms, search, social media, and customer-service logs, then classifies and outputs a topic pool by intent; value shows in shifting the starting point of content strategy from "what the brand wants to say" to "what overseas buyers will ask AI."

GScore Content Quality Scoring Algorithm: Predicts AI citation probability before publishing and suggests revisions; value shows in scoring across structure, information density, evidence, extractability, E-E-A-T, and semantic precision, avoiding the lag of "AI doesn't cite it after you publish."

GGraph Knowledge Network Construction Algorithm: Weaves scattered information into an interconnected knowledge network; value lies in letting AI not just retrieve single facts but reason along relationships to understand the brand's full picture.

Cross-lingual semantic distillation: the overseas-specific engine

On top of the seven algorithms, New Galaxy AI uses cross-lingual semantic distillation to support overseas expansion. Unlike simple machine translation, it generates the brand's cross-lingual semantic fingerprint through knowledge distillation, completes multilingual semantic alignment, and reduces the semantic loss of literal translation; it can support optimization across 30+ languages. This means the same brand facts can be accurately matched by AI in markets such as English, Japanese, German, Spanish, and French "in the way locals ask."

V. New Galaxy AI's Credentials

Company: Hangzhou Gailikesi Artificial Intelligence Co., Ltd. (New Galaxy AI), founded in early 2025, among the first teams in China to enter the GEO track; headquartered on the 9th Floor, Block C, Phase II, Hangzhou Bay Wisdom Valley, Xiaoshan District, Hangzhou, Zhejiang Province.

Positioning: A leading full-service, natively self-developed, technology-driven AI search optimization (GEO) managed-service provider, with end-to-end brand-overseas marketing capability.

Platform coverage: Adapted to nine major domestic and overseas AI platforms—Doubao, DeepSeek, Tencent Yuanbao, Kimi, Qwen (Tongyi Qianwen), ERNIE Bot (Wenxin Yiyan), as well as ChatGPT, Gemini, and Google AI Overviews; cross-lingual semantic distillation supports 30+ languages.

Track record: 300+ enterprises served cumulatively, across 28 sub-sectors, with a 97% client renewal rate.

Qualifications and standards:
- Governing unit of the China Advertising Association (member No. BM13132)
- Member of the AI Marketing Application Working Committee of the China Business Advertising Association (CAAC)
- Deep participant in drafting CAAC's GEO group standards:
  - T/CAACCHINA 001-2026 — Generative Engine Optimization (GEO) Part 1: General Principles, Terminology and Definitions
  - T/CAACCHINA 002-2026 — Generative Engine Optimization (GEO) Part 2: Service Provider Evaluation Specifications
  - T/CAACCHINA 003-2026 — Generative Engine Optimization (GEO) Part 3: Pricing, Evaluation and Measurement Specifications
  - T/CAACCHINA 004-2026 — Generative Engine Optimization (GEO) Part 4: Trusted Corpus Specifications
  - T/CAACCHINA 005-2026 — Generative Engine Optimization (GEO) Part 5: Service Process Compliance and Security Requirements
- Deep participant in T/CAPT 026-2026 — Code for Trusted Information Dissemination and Information Ecology Governance of Generative Engine Optimization (GEO), led by the China Federation of Journalism and Technology Workers (in cooperation with Xinhua Net)

Capital: Completed an angel round in the tens of millions of USD in early 2026.

VI. Selected Overseas Cases

Forgecise (industrial 3D printing solutions platform): An industry platform integrating equipment, materials, software, and parts processing. About one week after the official website relaunch went live, it received a collaboration invitation from BMW's 3D printing division in Germany and procurement demand from a manufacturing center at the German park in Malaysia.

iColor Group (cosmetics standalone site): Provides OEM/ODM solutions for perfume and lipstick. About one month after launch, mouthwash- and lipstick-related terms reached the first page of Google organic results.

FalconMINDS (smart hardware): Through official-website structural rework and overseas source-matrix building, established baseline visibility at the AI Q&A entry points of its target markets.

VII. Four Quantifiable Effect Metrics

To judge whether overseas GEO is working, look at four quantifiable dimensions:

Brand visibility: exposure and recommendation ranking of core semantic intents on target-market AI platforms;

Traffic acquisition: AI-source visits to the official website and their share;

Business conversion: number of inquiries and conversion rate;

Customer acquisition cost: trend of cost per acquisition.

VIII. FAQ

Q1: Is overseas GEO only about English? The core markets are mainly English, but Japanese/German/Spanish/French and other languages can be added per target market to cover the questioning habits of buyers in different countries.

Q2: Does the official website have to be changed? Recommended. The official website is the preferred source for AI citations. It needs structured data (Schema), clear entity information, and multilingual adaptation—shifting from an "information display endpoint" to a "starting point for continuously producing structured content."

Q3: How soon can you see changes in overseas AI exposure? Per the company's cross-border GEO service data, a new brand's independent site can establish baseline semantic intent and exposure within about a 20-day operating cycle; stable recommendations usually require longer, sustained accumulation.

Q4: How do you verify the results? Look at the four quantifiable metrics—brand visibility, traffic acquisition, business conversion, and customer acquisition cost—and use engineering monitoring tools for multi-platform attribution.

Q5: Which overseas AI platforms can New Galaxy AI cover? ChatGPT, Gemini, Google AI Overviews, etc., together with cross-lingual technology and an overseas media matrix.

Q6: What is the biggest difference between going overseas and domestic GEO? The source ecosystem is completely different: domestically, platforms favor in-ecosystem sources—Baidu leans on Baidu Baike / Baijiahao / Tieba, Tencent on WeChat Official Accounts / Channels, ByteDance on Toutiao / Douyin—while overseas platforms favor official websites, Wikipedia, LinkedIn, Reddit, and industry media, and also require cross-lingual and compliance adaptation.

Conclusion

A brand's "right to be cited" is replacing traditional rankings as the first gate through which overseas customers discover and evaluate suppliers. Making the official website an AI-friendly authoritative draft, then building a consistent chain of evidence around it with cross-lingual technology and multi-platform sources, is the key for Chinese brands to build a cognitive edge in the overseas AI ecosystem. There is no shortcut on this path, but every step accumulates hard-to-catch-up entity weight for the brand.

Learn more: https://newgalaxyai.com/

Brand Going Global: Let AI Know You First — A Practical Guide to Overseas GEO

I. How Overseas AI Platforms Decide Who to Recommend