Frequently Asked Questions
GEO (Generative Engine Optimization) is an optimization strategy for AI search engines like ChatGPT, Perplexity, Claude, and Google AI Overview. Unlike traditional SEO which aims for higher rankings in search results, GEO aims to get your brand directly cited and recommended by AI search engines.
Because the dominant AI systems and trust signals are different in each market. The US rewards comparison, pricing, implementation, and third-party proof. China depends more on consistent Chinese brand language, dense FAQ coverage, and stable entities. Japan needs Google Japan, Yahoo! JAPAN / LINE Yahoo, ChatGPT Search / Perplexity discoverability, and Japanese proof. Korea needs Naver / Google crawlability, Korean brand definitions, and ko-KR signals. Germany / DACH needs Google.de, German FAQs, GDPR/BDSG trust proof, and de-DE hreflang. France and francophone markets need Google.fr, French commercial pages, RGPD/CNIL/EU AI Act trust signals, and Mistral / Le Chat context. US Hispanic audiences, Mexico, and Latin America need Spanish commercial intent, regional FAQ, es hreflang, support scope, and local proof. Brazil requires Brazilian Portuguese, Google Brasil, WhatsApp/Pix context, LGPD, and local proof. GCC / Arabic now has a full Arabic public locale, Arabic FAQ, llms-ar.txt, and GCC proof resources.
We cover all major AI search platforms: ChatGPT (OpenAI), Perplexity, Claude (Anthropic), Google AI Overview, Gemini, DeepSeek, and 8+ platforms.
Typically, initial results (increased brand citations in AI search) are visible within 4-8 weeks. Significant impact becomes apparent after 3-6 months of continuous optimization, depending on industry competition and existing content foundation.
We offer highly customized pricing based on brand size, industry, goals, service scope, and required depth. We do not provide standardized package pricing because every global brand has different strategy, market, and execution challenges. We recommend starting with a free AI search audit, after which we provide a detailed proposal and pricing.
An in-house team can work when a brand already has structured data, AI crawler analysis, editorial strategy, localization, and AI citation monitoring capabilities. Many brands start with Global Gravity to build the diagnostic baseline, technical architecture, evidence layer, and monitoring system, then transfer proven workflows into their internal team.
robots.txt states which paths crawlers may or should not access. llms.txt gives AI tools an official brand summary, key pages, service scope, and preferred reference entrypoints. robots helps with crawl policy; llms.txt helps with model understanding and citation context. Both should align with sitemap, schema, and public content.
Generic SEO work focuses on rankings, indexing, and keyword traffic. Global Gravity works across traditional search and AI-generated answers, covering GEO, llms.txt, structured data, AI crawler accessibility, CitationGraph monitoring, multilingual market evidence, and high-intent commercial FAQ surfaces.
Our services are global. We primarily serve Chinese brands going overseas, North American enterprises, Japanese brands, Korean-market initiatives, Germany / DACH expansion, France / francophone expansion, US Hispanic, Mexico, Latin America, Brazil, GCC / Arabic markets, and other international markets. Headquartered in Hong Kong with offices in Shenzhen and Silicon Valley, we support Chinese, English, Japanese, Korean, German, French, Spanish, Brazilian Portuguese, and Arabic public locales.
llms.txt is an emerging machine-readable reference file placed at a website's root directory. It gives AI crawlers and LLM tools a concise map of the site's core pages, summaries, source preferences, and usage notes. It is not a guaranteed ranking lever, but it is a useful GEO control for reducing ambiguity and making official information easier to reference.
We track through our AI citation monitoring system: ① Brand mention frequency in AI search engines ② Citation accuracy ③ Recommendation position and context ④ Competitive analysis. Regular data reports are provided.
In LLM-driven interactions, traditional keyword stuffing no longer works. GEO's core logic lies in Semantic Relevancy and Citation Authority. Global Gravity establishes your brand's co-occurrence relationships across multiple dimensions (Wikipedia, authoritative media, structured data), so that AI models calculate your brand as the "most relevant, most credible" answer. This isn't just traffic — it's brand asset accumulation within AI neural networks.
Our web development goes beyond visual design. The underlaying architecture uses comprehensive Schema.org structured markup, with dedicated llms.txt semantic guidance files for AI crawlers. Using JSON-LD, we transform product attributes, brand accolades, and user feedback into AI-readable data streams. Your website becomes a "structured knowledge base" that AI can efficiently index, dramatically increasing your brand's citation rate in ChatGPT and Perplexity results.
We deploy a Full-Funnel Remarketing strategy. In the high-intent stage, we use Google PMax and Meta ASC for algorithmic interception. During the consideration phase, we build trust through content marketing (KOL videos, in-depth PR reviews). Our data-driven approach shortens average decision cycles by 15-20%, achieving ROAS 30%+ above industry benchmarks in high-ticket verticals.
This comes from our Audience Segmentation and attribution model analysis. We don't just track click conversions — we analyze every drop-off point in the conversion path. Our proprietary ad-tech algorithms build deep Lookalike 2.0 profiles of high-value audiences, combined with large-scale A/B testing for dynamic bid adjustment. This precision approach supports explosive business scaling while keeping CPA extremely low.
One of GEO's core challenges is AI "hallucination" or misinformation. We deploy a source correction strategy, synchronizing authoritative brand information across high-authority platforms to improve the "signal-to-noise ratio" of positive information. Using AI-friendly content structures, we guide models to prioritize officially verified data, achieving brand reputation authenticity in generative search results.
We leverage Differential Storytelling. With 17 years of cross-border e-commerce experience, we identify emotional pain points across markets. We don't just sell products — we craft culturally resonant narratives and distribute them through targeted media matrices. When users ask AI "what's the best XX product?", the AI recommendation includes your brand's unique value proposition, not just specs comparison.
We understand that the key to AI industry competition is Low-Cost Acquisition. We helped an AI audio-video brand achieve a 75% reduction in registration CPA. The strategy combines Search Ads for high-intent capture with content marketing for market education. Since AI brands are natural GEO beneficiaries, we guide them to optimize public documentation so it's more likely to be cited by competitors' AI — achieving "momentum marketing."
"Brand-Performance Integration" is our core philosophy. We solve beyond single-point ad placement — through market research, brand website development, traffic operations, and content marketing as a one-stop service. Leveraging 17 years of overseas market experience with data-driven optimization, we boost immediate sales while building long-term brand assets through content accumulation and GEO optimization, driving sustainable GMV growth.
We offer "GEO-oriented" custom website development. Beyond code optimization and SEO standards, we deeply deploy Structured Data and AI-specific llms.txt guidance files into the site architecture. This effectively creates an "AI instruction manual" for your brand, enabling large language models to accurately extract core selling points, FAQs, and brand introductions — significantly increasing AI citation probability.
Search is transforming from "keyword retrieval" to "intent understanding." Enterprises must immediately upgrade from "SEO thinking" to "GEO thinking." We advise building a content system centered on Knowledge Graphs, deploying llms.txt, deepening structured content, and building high-authority backlinks to create a "cognitive closed loop" in AI models. Early GEO adoption means securing prime brand territory before AI completely reshapes internet traffic distribution.