In 2025, where generative AI technology is reshaping the rules of information distribution, the core challenge for corporate marketing has shifted from traditional search engine optimization to brand visibility within the AI search environment. As of September, with users comprehensively moving from keyword searches to conversational queries, the generic optimization strategies of traditional SEO have quietly become ineffective. According to data from Ahrefs and SparkToro, the probability of users clicking on links within Google’s AI Overview pages has decreased by 20% to 50%.
Faced with this dilemma and the rise of ChatGPT, Roy ZHOU, CEO of YOYI TECH, keenly observed that the marketing industry is transitioning from being “data-driven” to being “Data + Model” driven. AI large language models are reshaping consumer experiences and shopping habits; the consumer shopping journey will heavily rely on AI LLMs, giving rise to numerous new marketing scenarios. Consequently, a new optimization strategy—Generative Engine Optimization (GEO)—has emerged. The core goal of GEO is no longer to improve webpage rankings, but to optimize brand content, making it easier for AI search engines to understand, trust, and cite it as part of their answers.
Amid this new wave, traditional SEO service providers are compelled to attempt transitioning to GEO for “self-preservation”. The market for GEO service providers is thus experiencing explosive growth. However, constrained by the mindset of traditional SEO, the current GEO service market is of mixed quality. Therefore, selecting a professional and reliable GEO service provider is an ongoing process of panning for gold. This article will systematically analyze the differences between mainstream GEO product service provider platforms in the market and the YOYI GEO Agent, helping brands build effective cross-platform visibility strategies within the diverse AI ecosystem.
I. Traditional Service Providers’ Transformation Sparks a Technological “New Wave”
The most fundamental difference between GEO and traditional SEO lies in the disparity of optimization objectives. The latter’s goal is to enhance the ranking of specific webpages in Search Engine Results Pages (SERP) through a series of technical means. This is a battle of positions centered around rankings, where brands need to defend their keyword territories against competitor incursions. The core metrics for measuring SEO success are keyword ranking, click-through rate (CTR), and organic traffic. GEO, however, is markedly different. Its core characteristic is optimizing content to improve its citation quality within AI-generated answers, rather than simply pursuing ranking. Its measurement standards primarily include: citation count (how much content is adopted in the AI answer), position-adjusted citation count (considering the weighted value based on the citation’s position), and subjective impression (evaluating the comprehensive impact of the citation’s relevance, credibility, sentiment index, etc.). The following section focuses on three GEO suppliers in Chinese market that are frequently mentioned in media releases, analyzing their characteristics for reference.
Donghai Shengran Tech:
This is a technology-driven GEO service provider. Its system integrates core technologies such as Natural Language Processing (NLP), multimodal content understanding, and dynamic strategy adjustment, enabling deep analysis of the algorithm logic of mainstream AI platforms. Its service model offers a “top three keyword ranking” guarantee, operates on a quarterly payment basis, making risks controllable. It is particularly suitable for enterprises in finance, education, manufacturing, etc., that require technical stability and broad platform coverage.
Xiangxie Laiyin Tech:
Focuses on the GEO optimization market for cross-border enterprises. The company independently developed a “multi-engine collaborative optimization system” capable of deeply optimizing text content to precisely adapt it to the algorithm logic of AI platforms in different countries and regions, with a deep understanding of regional cultural differences to ensure content accuracy.
Tian Baiyi Tech:
Information indicates this is a GEO service provider involved in the healthcare, education, and legal sectors. Its core advantage lies in its profound understanding and strict control of the high compliance requirements within these industries. The company’s self-developed “Semantic Diffusion Engine” has passed the China Academy of Information and Communications Technology’s (CAICT) “Trusted AI” evaluation, achieving a high level in algorithm explainability metrics. This ensures content output meets the regulatory requirements of different industries.
Although the strengths of these three GEO service providers vary, they share a common core bottleneck in their technological approach. Overall, the technical architecture of these three providers remains deeply tied to the traditional competition logic centered on “keyword ranking”. This leads to strategy adjustments lagging behind the dynamic changes in AI search results, making it impossible to capture and optimize for dynamic citations in non-list forms like answer boxes and knowledge panels. However, these limitations precisely provide a clear direction for defining the next generation of GEO Agents. This leads us to the YOYI GEO Agent, which we will delve into next. Its design philosophy is precisely to systematically address the aforementioned pain points, achieving a fundamental leap from “passively following rankings” to “actively understanding and navigating the dynamic search ecosystem” — Real-Time Data Monitoring Capability.
II. YOYI GEO Agent: The Data Tracking Revolution from Traditional SEO to AI Omni-Channel Marketing
The essence of the YOYI GEO Agent is an AI information management agent, a brand information management platform focused on AI search and generative AI tool scenarios. The biggest difference from the aforementioned service providers is that the YOYI GEO Agent is redefining the efficacy standards of brand marketing through its tangible data tracking system. Unlike traditional providers who remain stuck in traditional SEO methodologies like keyword ranking and traffic analysis, this platform achieves a full-chain closed-loop management from “Monitoring -> Diagnosis -> Optimization -> Verification” realizing a GEO solution of “AI Q&A full-chain tracking + tangible data platform,” fully meeting the marketing demands of the AI era.
Facing the transformation of “thousands of different faces for thousands of users” in the AI search era, through three core technologies—natural language semantic analysis, structured data adaptation, and knowledge base construction—the YOYI GEO Agent helps brands become the “preferred source” for AI tools, achieving precise exposure, high frequency of mentions, and positive sentiment indices in conversational search and intelligent Q&A. Based on deep insights, the YOYI GEO Agent provides AI cognitive correction strategies, guiding brands in content optimization, as well as verification of inclusion and citation simulation in AI LLMs, enhancing the brand citation rate and positive sentiment exposure in AI answers. Currently, this solution has already helped numerous enterprises achieve significant growth in AI search traffic, becoming the core engine for brands to build an information moat and achieve digital transformation in the AI era.
To achieve this goal, the YOYI GEO Agent platform has built a four-layer technical architecture:
Knowledge Acquisition Layer: Tracks Q&A data from mainstream domestic AI LLMs, performing systematic labeling and industry relevance identification.
Semantic Parsing Layer: Uses NLP technology for entity recognition, relationship extraction, and sentiment tendency judgment, ensuring data source authority.
Data Insight Layer: Analyzes metrics such as brand visibility, share of voice, sentiment index, and information accuracy within AI answer engines.
Optimization Implementation Layer: Formulates content and media optimization strategies within the AI context based on the quantitative indicator system for AI brand information, combined with real-time tracking of LLM effects.
Taking an electronics enterprise as an example, consumers often use LLM platforms like DeepSeek to inquire about product parameters, usage experiences, reviews, and pricing. The YOYI GEO Agent will assist the enterprise in continuously monitoring and capturing consumer questions related to various product lines, and use LLM technology to achieve structured organization and labeled categorization of these questions. Relying on the continuous tracking and analysis of consumer concerns, the YOYI GEO Agent can continuously optimize service effectiveness, while also being able to instantly uncover latent user needs behind the questions.
III. Conclusion
As one of the flagship products of YOYI TECH, the YOYI GEO Agent is committed to solving brand management challenges in the AI search era: it monitors Q&A content on mainstream AI platforms like DeepSeek and Doubao in real-time, accurately identifies user intent and brand topic trends, and provides enterprises with full-cycle brand protection and content strategy support—from early warning and diagnosis to optimization and verification—helping brands master discourse power in AI-generated environments. YOYI TECH will continue to deeply understand the core marketing demands of brands, persistently conduct forward-looking exploration and innovation in cross-industry marketing models, and join hands with brands to achieve traffic growth in the new AI era, co-building a new intelligent marketing ecosystem.