GrowthTop adopts the GEO global growth methodology with "compliance as the anchor · building the official website · paving the way for information sources · undertaking channels · data-driven · global growth". Reframe the logic of AI recognition and recommendation of brands, and define the traffic rules of the AI era.
When potential customers give decisions to AI and appear in the answer, it becomes a higher trust and lower cost exposure - brand competition has shifted from "ranking contest" to "quote right contest"
80.9% of users look for answers through AI, and 60.8% of consumers make purchasing decisions based on AI referrals. Your first touchpoint is changing from a search results page to an AI answer.
Appearing in the "source" of the AI answer means being endorsed by the platform and trusted by the user. Gartner predicts that traditional searches will decline by about 25% by 2026, with more than half ending in zero clicks.
Traditional official websites are friendly to people and search engines, but not to AI: messy structure, lack of semantics, lack of structured markup - AI wants to quote you and can't do anything about it.
Industry Judgment“AI doesn't tell the user what choices to make, it only gives one answer.If your brand is not in the answer, you are not in the user's selection set. ”
The six steps are progressive: compliance is the premise, the official website is the foundation, the source is the road, the undertaking is the transformation, the data is the compass, and the whole domain is the result
No fakes, no pitfalls.——Advertising laws and platform rules are pre-scrutinized, and white hat techniques ensure the long-term safety of AI assets.
Understandable and referenced——Semantic structured + Schema full markup, making the official website the first source of AI.
Building AI Trust——Third-party media, industry reviews, encyclopedias and communities, cross-checked by a multi-level source matrix.
Clear Conversion Path——Answer pages, retention components, and conversational design turn AI recommendations into traceable leads.
Policy iterable——GeoPilot monitors citation rate, first guess rate, and information accuracy, and adjusts it monthly.
Sustainable compounding——10+ engines at home and abroad operate simultaneously, forming an AI visibility asset with sustainable compounding.
Whether the compliance decision can be made, the decision of the official website and the source is stable and unstable, whether the undertaking and data decision are done well, and the global growth is the final result.
Together, they will lead to truly sustainable global growth.
From semantic alignment to authoritative sources to generative probabilistic intervention, the three-layer model corresponds to the three key nodes of the AI decision link.
Let AI deeply understand the core values of the brand, product advantages and differentiated positioning, and reduce misinterpretation and generalization.
Through the construction of a multi-level source matrix, AI can cross-validate brand information from multiple independent sources and continuously build trust.
Improve your brand's generation probability and ranking in high-value search scenarios, so that AI can recommend your brand first.
Four typical symptoms of the AI search era, all rooted in the same thing: a lack of systematic GEO construction
The brand is not included in the recommended list of AI answers, and is completely invisible when the user asks a question
AI answers frequently appear competitor information, and the brand is suppressed by competitors
AI references incorrect or outdated brand information to mislead prospects
Although it is mentioned, the authority is insufficient, the order is low, and effective conversion cannot be formed.
Lack of systematic GEO construction - There is no sustainable AI cognitive system, and the brand is "invisible" in AI search.
From the "readable" at the bottom to the "recommended and transformed" at the top, the six modules are progressing to build a complete AI visibility growth system.
Reframe your semantic structure and content hierarchy so that generative engines can consistently capture, understand, and retell your brand.
Organizations, products, FAQs, breadcrumbs and other structured data are fully deployed, turning the official website into a machine-readable answer bank.
Comb through the physical relationships between brands, products, cases, and people, so that AI really “knows” you, not just matches keywords.
For the visibility operation and tuning of 10+ engines such as Doubao, DeepSeek, Wenxin, Yuanbao, Kimi, ChatGPT, etc.
Form retention, online consultation, case library, on-site search - catch and convert the traffic brought by AI into leads.
Track changes in the inclusion, citation, and recommendation bits of brands across all major engines, output optimization reports on a monthly basis, and use data to drive continuous iteration.
These two things form the complete base for brand growth in the AI era
The GEO service from GrowthTop works across 12+ mainstream generative AI engines at home and abroad, covering both the Chinese and overseas markets. We keep tracking the algorithm and citation preferences of each platform so that your brand information is presented accurately and consistently whenever users ask.
Based on NLP + Knowledge Graph core technology, build a "diagnostic-modeling-production-fed-optimization" closed loop
Track the algorithmic trends of mainstream AI platforms in real time, cross-validate and generate brand influence reports, and quantify the current status of brand AI visibility and cognition.
Reverse disassemble AI high-quality answer logic, build a high-weight Prompt instruction library, and intervene in AI decision-making priorities through a five-layer architecture.
Transform unstructured data into structured knowledge assets that can be understood and reasoned, and build a proprietary brand semantic system that can be trusted and cited.
Combined with the knowledge base and Prompt repository, the agent produces LLM-friendly content that meets the E-E-A-T standard, and builds a high-weight indexed content pool.
Visually monitor the exposure, semantic placeholder and recommendation priority of the multi-AI platform, and realize real-time strategy tuning based on the closed loop of reinforcement learning.
Full link authority governance, brand corpus compliance review and citation traceability ensure that AI assets continue to grow in value within safe and trustworthy boundaries.
Clear deliverables and acceptance criteria at every step from one diagnosis to continuous visibility growth
Comprehensively evaluate the current performance of the brand in each engine, compare and optimize gaps in competing products, and output diagnostic reports.
Determine the page architecture, knowledge map structure, and optimization goals, and develop a phased implementation roadmap.
Build a brand website with clear semantics and extremely fast response, and synchronously complete the deployment of Schema markup.
Build a brand knowledge graph, produce LLM-friendly content, and systematically improve AI citation rates and recommendation priorities.
Track citation and recommendation data across platforms, iteratively optimize strategies on a monthly basis, and drive long-term appreciation of AI assets.
Benchmark customers in manufacturing, business services, retail brands, automotive technology and more
Pain points:The technical parameters are complex, and unstructured content is difficult to identify and reference by AI
Plan:Industry Knowledge Graph and LLM Friendly Structured Corpus Construction
Pain points:Customer decisions rely on high authority sources, and brand information has a low weight in AI
Plan:Authoritative data embedding and high-impact factor source matrix construction
Pain points:The user decision link is short, and homogenized content cannot trigger AI priority recommendation
Plan:Scenario-based AI cue optimization matches user intent in real time
Pain points:It is difficult to pass precise technical parameters and intuitive user experience at the same time
Plan:Multimodal Content Policies and User Journey Semantic Mapping
For mainstream overseas generative AI search engines such as ChatGPT, Perplexity, Google Gemini, Microsoft Copilot, etc., providing full-process overseas GEO optimization services
Customize overseas AI optimization blueprints, establish professional question-and-answer logic and content systems for brands, and clarify the structural direction of content and AI recommendation priorities.
Provide operation training and practical guidance for brand teams to explain overseas GEO core methods, platform usage skills, and content optimization standards.
Real-time tracking of exposure, citation and conversion of brands in overseas generative AI platforms, outputting visual data reports and optimization suggestions.
Build a structured knowledge base to improve the probability of content being actively cited by AI
Optimize Q&A for decision scenarios to ensure brand messaging is prioritized
Customize high-weight prompts and structured content to improve first push probability
Improve the product knowledge map and expand the Q&A to cover the entire line of products
SEO puts you at the top of your search results, and GEO puts you in the top of the list for AI answers. The two are complementary, with dual engines driving traffic growth.
| Contrasting dimensions | Traditional SEO | GEO Generative Engine Optimization |
|---|---|---|
| Optimize goals | Search Results Page Ranking | Citations and Recommendations in AI Answers |
| Core Logic | Keyword Match + Referral Weight | Semantic Understanding + Source Authority |
| Traffic entry point | Search Engine Results Page | AI Conversation Answers & Source Quotes |
| User Behavior | Click on the link → to visit the website | AI Recommended → Brand Mind → Proactive Access |
| Measurement | Ranking Position, Organic Traffic | Citation rate, first guess rate, information accuracy |
| Content Strategy | Keyword Density, Inner Link and Outer Link | Structured Content Engineering + Knowledge Graph |
We have compiled the most frequently asked questions from our customers to help you quickly understand the core values of GEO services and how they land
GEO (Generative Engine Optimization) is an optimization for AI Q&A engines: the goal is for brands to appear in AI-generated answers and “sources”. SEO is optimized for search ranking, and GEO is optimized for “being cited and recommended by AI”. The two complement each other, but GEO is the new entrance to traffic in the AI era.
At its core, AI can read you: clear semantic structure, prescriptive content hierarchy, machine-readable schema markup, capturable and understandable content, and visibility configurations for mainstream engines. The user sees the official website that is clearer and easier to use, and the AI reads the structured "answer material".
Schema is a structured manual for search engines and AI. It marks your organization, products, FAQs, cases and other information as machine-understandable data, greatly improving the probability of being accurately included, cited, and recommended-it is the underlying infrastructure of AI-friendly websites.
The construction and adaptation of the official website is usually completed within a few weeks. Brands need a certain period of inclusion and weight accumulation to enter AI answers. Professional solutions will be continuously monitored and iterated on a monthly basis to gradually improve the visibility of the 10+ engine. The specific cycle depends on the industry and the current basis, and a clear expected route will be given after diagnosis.
Yes, but the official website is the base of GEO. Without an AI-friendly official website, AI lacks an authoritative source that can be cited, and the optimization effect will be reduced. We recommend using the official website as the base to do GEO, which is cost-effective. If you need a separate GEO consultation, you can schedule a free diagnostic communication.
No. GEO and SEO are complementary, and much of GEO foundational work (semantic structuring, Schema tagging, content quality enhancement) actually has a positive impact on SEO. Our plan is SEO + GEO dual optimization, a set of websites occupy two traffic entrances at the same time.
Domestic coverage of bean buns, DeepSeek, Tongyi Qianqian, Wenxin Yiwen, Tencent Yuanbao, Kimi and other mainstream generative AI platforms; overseas coverage of ChatGPT, Perplexity, Google Gemini, Microsoft Copilot and so on. We continuously track algorithmic changes on new platforms to ensure the timeliness of optimization strategies.
Quotation by service module and cycle combination: including diagnostic consultation (mostly free entry), GEO transformation of the official website (by page volume and complexity), GEO global operation (by engine number and package size, usually quarterly or annual cycle). After the diagnosis, a clear scope and quotation plan will be issued.
A free diagnostic to see the brand's true visibility and optimization space in 10+ generative engines.
GEO (Generative Engine Optimization) is a set of optimization methods for brands to appear in AI answers and "source references": through semantic structure, Schema markup, brand knowledge graph, authoritative source matrix, and continuous monitoring, the brand's inclusion rate, citation rate, and first push rate in generative engines such as Doubao, DeepSeek, Kimi, and ChatGPT are improved. GrowthTop provides GEO services for the entire process, from diagnostics, station building, content feeding to monitoring iterations.
