Tag: AI Marketing

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GEO

What is GEO (Generative Engine Optimization)? A Comprehensive Guide

In 2025, as generative AI tools like ChatGPT, DeepSeek, and Doubao reshape user search habits, consumers’ shopping journeys have become heavily reliant on AI large language models (LLMs). Perplexity AI processes 780 million queries and attracts 129 million visits monthly, with a month-on-month growth rate exceeding 20%. The core challenge for enterprise marketing has shifted from traditional Search Engine Optimization (SEO) to content visibility in the AI search environment. According to data from Ahrefs and SparkToro, the probability of users clicking links on Google’s AI Overview pages has dropped by 20% to 50%. The internet has entered the “zero-click” era, where users prefer to obtain direct answers rather than clicking links—meaning the main battlefield for traffic competition is shifting from “listings pages” to “answer layers.”

Amid this new trend, GEO—Generative Engine Optimization—has emerged rapidly in China’s brand marketing market like mushrooms after rain. The marketing industry is evolving from “data-driven” to “data + model-driven,” spawning numerous new marketing scenarios. Consequently, a brand-new optimization strategy—Generative Engine Optimization (GEO)—has come into being. Faced with this “blue ocean,” many enterprises are confused: “What exactly is GEO? What are its core and essence?”

I.The Principle of LLM Cognition Formation: Understanding How AI “Thinks”

To comprehend why GEO works, it is essential to first grasp the underlying logic of how AI large models form cognition. Unlike the linear “crawl-index-rank” process of traditional search engines, the cognitive process of generative AI is a networked flow of “understanding-reasoning-creation.”

 

1.Multi-source Cognition

AI’s cognition is not based on a single information source but integrates its massive training corpus, real-time retrieved web information, and knowledge base inputs. This means the consistency of brand information across all online channels—such as official websites, authoritative media, industry forums, and user reviews—is crucial. Information fragmentation or contradictions are key risks leading to AI cognitive biases. LLMs’ understanding of the world primarily relies on two complementary core mechanisms:

 

a) “Inherent Cognition” Based on Pre-trained Knowledge

Principle: During the training phase, LLMs learn from massive, static corpora (e.g., internet texts, books, papers up to a specific date) to form a foundational, rule-based knowledge system. This knowledge is internalized into the model’s parameters, serving as its “common sense” and “background knowledge base” for answering questions.

 

b) “Dynamic Cognitive Supplement” Based on Retrieval-Augmented Generation (RAG)

Principle: To address the limitation of outdated pre-trained knowledge and acquire the latest, most specific information, modern AI search systems widely adopt RAG (Retrieval-Augmented Generation) technology.

Process: When a user asks a question, the system does not rely solely on the model’s internal knowledge. Instead, it performs real-time web searches or queries designated external knowledge bases (e.g., brand official websites, news, industry reports). Relevant, up-to-date document snippets retrieved are used as context, which—together with the question—is input to the LLM. The model then generates answers based on this fresh information.

Diagram: RAG Technology Flowchart

 

2.Generative Reasoning：AI does not simply match keywords; instead, it conducts dynamic reasoning based on semantic understanding and context to organize and generate answers. It prefers content with clear logic, complete structure, and sufficient evidence. Therefore, GEO requires content to have a clear semantic chain that can naturally integrate into AI’s generative logic, rather than just keyword stuffing.

3.Preference for Authority and Evidence AI systems highly value the authority and credibility of information. They tend to cite content from authoritative media, industry reports, expert opinions, or sources containing specific statistical data and research methods. Brands need to build “entity authority” recognized by AI by publishing original research and whitepapers, and maintaining consistent information across all platforms.

 

II.Core Definition and Essence of GEO: A Strategic Leap from “Being Indexed” to “Being Generated”

Based on this underlying AI logic, GEO is a strategic practice aimed at optimizing digital content to enhance its visibility and citation rate in AI-driven search engines such as DeepSeek, Doubao, Kimi, and Yuanbao. Its core goal is no longer to improve webpage rankings on traditional search engine results pages (SERPs) but to ensure that brand content is understood and trusted by AI, and cited or recommended as part of the answer. Research from Princeton University shows that GEO optimization can increase content visibility by up to 40% across diverse AI search queries, while traditional keyword stuffing techniques have limited effectiveness on large language models.

The fundamental difference between GEO and traditional SEO lies in the paradigm shift of optimization objectives:

Traditional SEO is a “positional warfare” centered on “ranking.” Its goal is to improve webpage rankings for specific keywords, with core metrics including keyword ranking, Click-Through Rate (CTR), and organic traffic. It optimizes “links”—users must click through to access information. Brands need to defend their keyword positions against competitors.

GEO aims to get brands cited and mentioned in AI-generated direct answers, with core metrics including citation rate, mention frequency, information accuracy, and sentiment index. It optimizes “language” and “entities”—AI directly integrates information to provide answers, eliminating the need for users to click links. Its core feature is optimizing content to improve the quality of citations in AI-generated answers, rather than just rankings. Key metrics include:

  • Citation word count (the amount of content adopted in AI answers)
  • Position-adjusted word count (weighted value considering the location of citations)
  • Subjective impression (comprehensive assessment of citation relevance, credibility, sentiment index, etc.)

This difference stems from the fundamentally distinct operational logics of AI and traditional search engines. Traditional search engines discover and display information through a linear “crawl-index-rank” process, while AI LLMs generate new answers by understanding, reorganizing, and creating information through a networked “understanding-reasoning-creation” process. Therefore, the essence of GEO is a “return movement” of brand value.

 

III. How GEO Works: A Complete Process from Content Optimization to Cognitive Implantation

GEO is not an overnight effort but a systematic, continuously optimized closed-loop process. Its core workflow can be summarized in four key stages:

1.Monitoring and Diagnosis

First, systematically monitor the brand’s current status on target AI platforms. By simulating real user queries, analyze whether the brand is mentioned in AI answers, its ranking position, the accuracy of information, and sentiment tendency. This is equivalent to a comprehensive health check of the brand’s “cognitive status” in the AI world.

 

2.Strategy and Content Optimization：Based on diagnostic results, develop optimization strategies. The core is to produce content preferred by AI:

a）Answer-first approach: Provide direct, clear answers to questions using a Q&A structure.

b）Build authority: Integrate specific data, expert quotes, and original research, and ensure consistent information across platforms.

c）Optimize structure: Use headings, lists, tables, etc., to make content easy for AI to parse, and deploy Schema structured data markup (e.g., FAQ, How-to) to help AI understand content context.

d）Multi-platform distribution: Distribute optimized content to authoritative platforms frequently cited by AI, such as vertical industry websites, Zhihu, and knowledge bases, to build a consistent online knowledge graph.

 

3.Training and Influence

Continuously and systematically feed high-quality, structured, authoritative brand content into AI’s “information sources” to gradually “educate” and train AI models. When AI processes relevant user queries, it will prioritize extracting and trusting these brand information that it has “familiarized” and “verified” from the massive amount of information it has trained on and retrieved, integrating it into the generated answers.

 

4.Verification and Iteration

Continuously track the effect of optimization, monitor changes in the brand’s citation rate, ranking, and sentiment in AI answers. Based on feedback data, constantly adjust content strategies and distribution channels to form a continuous cycle of “monitoring-optimization-verification-re-optimization,” stabilizing and enhancing the brand’s position in AI cognition.

 

Conclusion: Core Value and Future of GEO—Building a “Certain” Moat in the AI Era

The future of search is generative, conversational, and AI-driven. As platform mechanisms become increasingly transparent and third-party monitoring tools mature, GEO is expected to evolve from “uncontrolled growth” to “refined operation.” In this process, professional solutions represented by YOYI GEO Agent Mentis are transforming GEO from theory into a measurable and executable brand growth engine through a systematic full-link closed loop of “monitoring-diagnosis-optimization-verification.” For enterprises seeking future growth, GEO has shifted from an “optional” to a “required course.” It requires brands to adopt a long-term perspective, systematically accumulate knowledge assets, and build an authoritative system recognizable and trusted by AI, thereby preparing to be jointly chosen by users and AI when the “intelligent selection era” arrives.

 

 

References

[1] OtterlyAI_Generative_Engine_Optimization_Guide

[2] seo_in_the_age_of_ai

[3] Generative-AI-and-LLMs-for-Dummies

[4] 2025 China GEO Industry Development Report – AI Marketing Application Working Committee of China Commercial Advertising Association (October 22, 2025 Edition)

[5] Zhiyu AI AI Marketing Era Solutions

[6] Generative Engine Optimization (GEO) 2025 Complete Guide: How to Win in AI Search

 

 

Categories
GEO

AI Mind Map: Three Core Frameworks to Help Brands Shape AI Awareness.

AI Mind Map

AI Mind Map: Refrigerator Industry (During Double 11 Period)

Index:

  1. Brand Visibility & Brand SOV Ranking
  2. High-Quality Industry Media Ranking
  3. AI Hot Keywords Ranking

01 Brand Visbility & Brand SOV Ranking

TOP 10

Refrigerator Industry

Ranking Period：11.1-11.15

 

Ranking Brand Brand Visibility Brand SOV Positive Keywords Star Products
1  Haier 47.30% 27.60% EPP Super-clean System,

Oxygen-barrier Dry & Humid Separate Storage,

Tier-1 Energy Efficiency,

Whole-space Fresh-keeping,

Black-gold Purification Technology,

Frost-free Air Cooling,

Ultra-slim Zero-embedded Design,

99.99% Antibacterial Rate, Intelligent Constant Temperature,

Ultra-slim Body

 Haier Refrigerator 659L Large Capacity Cross-Door Refrigerator

 

Haier Little Red Flower 416L French-Door Refrigerator
2  Midea 44.90% 24.40% Tier-1 Energy Efficiency,

Frost-free Air Cooling, Dual Inverter, Three-gear Temperature-adjustable Space,

Dual System & Dual Cycle, Bottom Heat Dissipation, Platinum Odor Removal,

PST+ Intelligent Purification,

PT Ion Purification,

PST+ All-round Health Technology

 Midea M60 Dual System 536L French Multi-Door Four-Door Household Refrigerator

 

Midea 418L French Multi-Door Four-Door Ultra-Slim Flush-Embedded Refrigerator for Small Households
3  Ronshen 44.00% 26.10%  

Tier-1 Energy Efficiency, Dual System & Dual Cycle,

Antibacterial Door Seal,

Auto Temperature Sensing,

Blue Light SPA Fresh-keeping,

WILL Natural Fresh-keeping System, Frost-free Air Cooling, High Space Utilization,

IDP High-energy Ion Purification, Adjustable Shelves

 Ronshen 526L Dual-Clean Dual-System French-Door Refrigerator
4  Carsarte 8.80% 5.90% MSA Nitrogen-oxygen Intelligent Controlled Fresh-keeping,

Nutrient Retention Rate >99%, Dual System & Dual Cycle,

AI Eye,

Flexible Half-width Shelf,

MSA Nitrogen-oxygen Intelligent Control,

MSA® Nitrogen-oxygen Intelligent Controlled Fresh-keeping Technology,

Freely Combinable Flush-embedded Design

 Casarte 560L Original Stone Series MSA Nitrogen-Oxygen Intelligent Controlled Fresh-Keeping French Multi-Door Household Refrigerator
5  Meiling 7.80% 3.60% Bottom Heat Dissipation,

Tier-1 Energy Efficiency,

AI Cloud Moisturizing,

Frost-free Air Cooling,

Zero-impact Micro-freezing,

Automatic Ice Maker,

Hidden Condenser, Quiet Design,

Ultra-low Temperature Fresh-keeping,

Cross-door Opening

 Meiling Ion Purification 272L Inverter Frost-free Air Cooling Three-Door Refrigerator
6  TCL 7.20% 4.10% Frost-free Air Cooling,

Excellent Noise Control,

Quiet Operation, Tier-1 Energy Efficiency, High-quality Compressor,

AAT Negative Ion Fresh-keeping, Effective Volume 87L,

Bottom Heat Dissipation,

No Obvious Shortcomings,

Rapid Cooling

 TCL Extra Large Capacity Inverter Frost-free Air Cooling Refrigerator
7  Panasonic 6.80% 3.20% Automatic Ice Maker,

Silver Ion Antibacterial, Top-mounted Compressor,

Tier-1 Energy Efficiency,

-3°C Micro-freezing Fresh-keeping, Bottom Heat Dissipation,

Frost-free Air Cooling,

-3°C Micro-freezing,

Self-cleaning,

Nanoe™ Sterilization Technology

 Panasonic Xtra Black Plum 500L Four-Door Zero-embedded Refrigerator
8  Siemens 5.60% 2.70% Platinum Antibacterial & Odor Removal System,

Flexible Fresh-keeping Lite System,

Frost-free Air Cooling,

99.99% Antibacterial Rate,

Patent Anti-collision Hinge,

Zinc Ion Antibacterial & Odor Removal, 594mm Ultra-slim Body,

Ultra-slim Body, iSensoric Intelligent Sensing System,

Tier-1 Energy Efficiency

 Siemens Bosch Fresh Excellence Cross-Door Refrigerator
9  Konka 2.40% 1.00% 9-level Temperature Control,

Dual-temperature Zone Separate Storage, Automatic Temperature Compensation, Footprint Only 0.25㎡,

HIPS Food-grade Interior Liner,

Price Under ¥700,

Body Width 474mm,

Flexible Placement,

LED Top-mounted Light,

Tier-1 Energy Efficiency

 Konka 332L Cross-Door Ultra-Slim Built-in Refrigerator
10  Bosch 1.80% 0.70% Active Oxygen® Pro System,

Flexible Space Drawer,

Active Oxygen®,

3-year Full Machine Warranty,

4mm Ultra-slim Gap-free Embedding,

5-year Extended Warranty for Core Components,

Hybrid Cooling & Dual Cycle Technology,

99.999% Sterilization Rate,

Triple Cycle,

Fruit & Vegetable Fresh-keeping,

Temperature Fluctuation Control ±0.2°C,

Fresh & Moisturizing Space

 Bosch 497L Cross-Door Four-Door Ultra-Slim Built-in Refrigerator

Insight：

Based on brand volume, the CR3 reaches as high as 78.1%, with brand buzz concentrated among the three major brands: Haier, Midea, and Ronshen. As the GEO industry is still in its emerging stage, this high market concentration of brand volume indicates that AI information management has not yet commenced for most brands, giving a first-mover advantage to the few players who have entered the field.

02 High Quality Media Ranking TOP 10

Insight：

Sohu、What‘s Worth Buying、ZOL、Toutiao and Bilibili are the media channel that refrigerator brand need to pay great content attention to.

03 AI Heat Words Ranking

 

Insight：

Energy efficiency, frost-free operation, heat dissipation, capacity, and space occupancy rate are frequently mentioned keywords in AI large model responses. Companies can appropriately emphasize these related product attributes in their content.

Categories
GEO

AI Era’s New GEO Marketing Landscape: The Shift from Traditional SEO to Intelligent Optimization

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.

Categories
GEO

The Essential Lesson for Brand Marketing in the AI Era — GEO Q&A Monitoring

In 2025, are you still choosing traditional SEO for brand marketing? According to data from iResearch, users’ ways of obtaining information have undergone a fundamental change: generative AI has already taken 63% of information search traffic, while the effectiveness of traditional SEO has declined by 72%. Search behavior has shifted from the traditional “search–filter” model to a conversational “ask–answer” interaction, placing brand marketing in the midst of unprecedented change. When users no longer click links but directly ask AI, a brand’s visibility in AI-generated answers becomes critically important. Therefore, choosing a systematic AI monitoring tool to ensure the frequency and accuracy of brand mentions across major AI platforms has become a required task for marketers.

The Limitations of Overseas GEO Tools: Why They Struggle in China

Two years ago, the emergence of ChatGPT reshaped the marketing landscape, and overseas advertisers became the first adopters. According to a study by Adobe Express, 36% of respondents stated that they discovered new brands through ChatGPT. To meet this huge market demand, GEO tool companies have sprung up rapidly.

Among them, two tools have attracted wide attention: Profound and Otterly AI.

Profound: This multinational company founded in 2024 in New York has gained seed funding from well-known venture capital firms such as Khosla Ventures and South Park Commons by offering comprehensive and in-depth GEO analysis services, becoming an industry pioneer. Its achievements rely on its detailed analytical dimensions and support for multilingual environments. The main functions of Profound include AI visibility tracking, refined conversation and sentiment analysis, and active crawler optimization. In terms of pricing, it can provide customized pricing based on customer needs, but pricing is generally high.

If Profound is a “battleship,” then Otterly AI is like a “lightweight speedboat.”

Otterly AI: This company was founded in 2023 and is headquartered in Vienna. Compared with the former, this is a more intuitive and easier-to-use AI search tool designed specifically to monitor and optimize performance within generative engines. Its core functions include AI visibility tracking, sentiment analysis, and citation link monitoring. Because of its user-friendly interface, affordable price, and suitability for beginners, the product is particularly suitable for small and medium-sized enterprises and startups whose primary need is monitoring. Both products have their advantages and disadvantages, and whether effectiveness can be maximized depends on the scale and needs of the enterprise.

However, these two excellent products encounter “localization issues” in the Chinese market. Because they primarily target international models, they have limited support for domestic mainstream models such as Doubao, making it difficult to fully cover usage scenarios of Chinese users. In addition, as overseas products, due to qualification and political restrictions, they cannot connect to important channels such as the People.cn mainstream value corpus, creating weaknesses in compliance and localization.

Lastly, in terms of market positioning, Profound is expensive and serves mostly large enterprises, while Otterly AI is affordable but limited in functionality, making both unable to meet the domestic market’s needs for cost-effectiveness and comprehensive capability. These limitations make them difficult to take root in China.

The rise of the YOYI GEO Agent: a new answer within China’s AI ecosystem.

In traditional search scenarios, brands capture user intent by tracking SEO and SEM keywords. But in the AI search era, user queries become more hidden and diverse. However, compared with the overseas market, China’s GEO ecosystem has unique characteristics. Domestic large models do not open user behavior data, making brands feel like they are “fighting blindfolded.”

Against this background, YOYI TECH delivered YOYI GEO Agent focuses on brand information management, optimizing the presentation of brand information in AI Q&A, helping brands truly take the steering wheel of AI marketing.

 

The YOYI GEO Agent integrates user questions from social media, traditional search engines, official website comments, e-commerce reviews, customer service, and other channels. It conducts deep analysis of search volume, question frequency, and sentiment semantics to infer and predict potential user questions on AI platforms. This process helps brands build a precise AI question monitoring list and clarify information management priorities.

Five-Dimensional Deep Analysis System

By connecting with official APIs of models such as DeepSeek and Doubao, the YOYI GEO Agent can perform automatic queries and return large amounts of Q&A data. Using semantic analysis technology, it labels answers with structured tags. Based on high-quality data, the system provides deep insights from five core dimensions:
*Brand Share of Voice (SOV): Proportion of mentions compared with competitors
*Information Accuracy: Evaluation of correctness of brand information
*Sentiment Index: Monitoring of positive, neutral, and negative sentiment
*Media Distribution: Analysis of source channels cited in answers
*Tag System: Automatic labeling of brand, product, performance, attributes, etc.

 

 

A well-known computer peripheral brand in China achieved significant improvement through the YOYI GEO Agent. After implementation, its AI recommendation rate increased from 56% to 90%, and information accuracy reached 80%.

Implementation Guide

For brands planning to conduct GEO monitoring, we suggest:

Initial Phase: Start monitoring 50–100 core questions, prioritizing those strongly related to brand products and target audiences

Team Setup: Use enterprise main accounts and sub-accounts to assign monitoring permissions across departments

Budget Planning: Use a combination of platform fees + operational services, leveraging industry data and professional strategy teams to maximize AI information management results

With full coverage of domestic mainstream models, a five-dimensional deep analysis system, compliance assurance, and proven effectiveness, the YOYI GEO Agent provides more localized and complete solutions for the Chinese market.

 

Choose the Right GEO Tool and Take Control in the AI Marketing Era

The surge of AI search will not reverse, and it is reshaping how users encounter information. GEO will be a very clear trend and huge opportunity next year, and more than 90% of marketing professionals are looking for new growth opportunities from it. In this transformation, passive waiting means weakening a brand’s own share of voice. Through the YOYI GEO Agent, brands can systematically mine core questions, monitor AI Q&A dynamics, and analyze answers accurately, ultimately turning the challenges of AI search into a certain force for future growth.

Categories
AI Marketing News

How Should Enterprises Choose GEO Service Providers in 2025? “Know Your Customers, Master Your Content” in the AI Efficiency Revolution

In 2025, as generative AI reshapes user search habits, GEO, or Generative Engine Optimization, has become the core battleground for enterprise marketing. iResearch data indicates that generative AI now accounts for 63% of information retrieval traffic entry points, while the effectiveness of traditional SEO has declined by 72%. Faced with this “AI Efficiency Revolution,” selecting a reliable GEO service provider has become a crucial strategic consideration for businesses.

1. At the Crossroads of Traffic: GEO Becomes Essential Driven by Results and Efficiency

With AI search traffic share continuously rising, according to Jasper’s “2025 State of AI in Marketing Report,” 63% of enterprises have already adopted generative AI marketing, yet only 43% can effectively synergize brand exposure with traffic conversion through AI. Professional and suitable GEO services can help businesses transition from being “searched for” to being “recommended.” For instance, the overseas GEO service provider Profound assisted an international beauty brand by customizing a “Ingredient Analysis + Influencer Review” content matrix through specialized GEO strategies. This approach was tailored for different social media platforms, resulting in a 65% increase in AI recommendation rates, a top-three category search ranking, and a 60% growth in user engagement.

Domestic GEO platform provider-YOYI TECH applies its three core technological capabilities—natural language semantic analysis, structured data adaptation, and knowledge base construction to help a globally renowned computer peripherals brand establish itself as a “preferred source” for AI. This achieved high-frequency exposure and precise reach in conversational search and intelligent Q&A scenarios, ultimately boosting the brand’s AI-driven visibility in specific query contexts from 56% to 90%. Professional service providers not only enhance a company’s visibility in AI search results but also effectively convert AI-generated traffic into actual business growth through precisely tailored content.

 

2. Cutting Through the GEO Haze: The Core Lies Not in Content Accumulation, But in Dual Insight into Principles and User Needs

Due to its outstanding effectiveness and adaptability, this emerging blue ocean has entered a phase of unregulated “wild growth” lacking standards. An endless stream of GEO service providers has flooded the market, many of which are simply passing off fish eyes as pearls.

When faced with client inquiries, some companies instantly transform into AI jargon parrots, using massive data and professional words as “bait” to lure inexperienced players in the industry. Their showcased case studies are often generic, lack customization, and sometimes have no verifiable connection to the purported partnerships. During communications, their support teams can neither clearly articulate their core service offerings nor demonstrate industry expertise, yet are overly eager to extract excessive user information.

If the pre-sales bombast merely raises doubts, the exposed emptiness in their service delivery confirms their lack of professional capability. In reality, the essence of GEO is not simply amassing content. It requires practitioners to have a deep understanding of how generative AI engines work, accurately grasp genuine user needs, and then perform in-depth content optimization. It is at this stage that subpar providers are often exposed, lacking the necessary industry insight and unable to achieve deep integration with the brand’s identity.

Then, to fulfill commitments of “guaranteed volume” and ensure partnership progression, some service providers venture into even riskier territories. They resort to brand-damaging “black-hat” techniques—for instance, mass-generating low-quality, “pseudo-original” content through AI and publishing it on low-authority peripheral websites to deceive AI crawling systems. Such practices, focused solely on short-term exposure while completely neglecting long-term brand reputation and risk, ultimately undermine the client’s fundamental interests.

 

3. This “Diagnostic Checklist” Completes the Evaluation and Screening of Suitable Providers

So, faced with such landscape, how should enterprises identify the proper providers? According to research by third-party institutions, evaluating GEO service providers should be based on the following four dimensions:
① Brand Safety and Reputation Management Capability:  The ability to accurately track consistency with brand image and tone, while proactively detecting and correcting misinformation that harms brand reputation.
② Competitive Intelligence and Performance Insight Capability: It’s essential to not only track one’s own historical performance but also monitor competitors’ visibility, thereby gaining insights into the market landscape and one’s own position.
③ Data-Driven Optimization Capability: The core lies in providing source-level analysis, attributing performance to specific content, and on that basis, delivering actionable, AI-driven recommendations.
④ Technology Integration and Implementation Capability: Ultimately, all these capabilities must be easily integrated into your existing tech stack, ensuring strategy execution.

This integrated set of indicators works synergistically, collectively providing brands with a scientific “diagnostic checklist” and “navigation system” for health and growth in the AI search era. YOYI TECH offers GEO platforms and services to leading brands in sectors like 3C, beauty & personal care, automotive, and health & wellness. It systematically manages tasks such as brand voice analysis, negative information monitoring, media citation tracking, and content optimization strategy, while real-time data monitoring tracks optimization effectiveness. This provides enterprises with end-to-end AI information management capabilities, from insight to execution.

 

4. How Businesses of Different Scales Choose a GEO Service Provider

Under the four major evaluation criteria mentioned above, does the choice of a GEO service provider change based on enterprise size? The answer is yes. The strategic focus and evaluation criteria indeed differ significantly for businesses of different scales when selecting a GEO provider. As Gartner points out: for large enterprises, GEO is a strategic investment, and selecting a provider involves extra emphasis on their comprehensive strength and long-term value.
Firstly, large enterprises will scrutinize technical depth and integration capabilities, prioritizing providers with proprietary R&D technology and systemic support. For instance, some providers offer “end-to-end technical solutions” capable of automating the entire process from data tracking & analysis and content creation & distribution to performance monitoring & optimization. The key is to assess whether they can integrate seamlessly with the existing marketing and technology stack.
Secondly, large enterprises need to verify the provider’s industry understanding of their specific brand and their proven success cases. Given the complex decision-making chains, a verified, quantifiable successful case is far more persuasive than a lofty promise.
Finally, it is crucial to ensure comprehensive and sustainable service delivery. Projects in large enterprises often have long cycles and involve multiple departments. Therefore, the provider must possess mature service processes and stable team support to ensure the long-term, stable operation of the project. Some leading providers offer 360-degree, full-funnel services and commit to exceptionally fast response times.
For SMEs, which typically focus more on cost reduction and efficiency gains and lack dedicated specialist teams, some providers offer lower monthly subscription packages featuring built-in industry templates and drag-and-drop functionality, coupled with clear performance guarantee clauses or refund mechanisms. This effectively lowers the risk of trial and error. When collaborating with providers, these businesses focus on core needs and seek rapid validation of results. Consequently, they tend to choose providers offering short-term trials or pay-for-performance models, allowing them to test outcomes quickly and at a lower cost.
YOYI GEO Agent encompasses various cooperation models, including SaaS platform subscription, platform-plus-service, and brand-customized solutions, providing brands with best choices tailored to their specific requirements.

 

Conclusion

In this era where AI is reshaping information distribution, selecting a suitable GEO service provider is no longer an “optional luxury” for most businesses, but a “mandatory necessity” in the age of AI. Ultimately, successful GEO collaboration relies on the provider’s ability not only to enhance the brand’s visibility within AI search results but also to convert AI-driven traffic into actual business growth for the client through precisely tailored content. This encapsulates the core value of “Knowing Your Customers, Mastering Your Content” in  the AI efficiency revolution. YOYI GEO Agent is dedicated to systematically addressing the multiple challenges enterprises face in the AI marketing environment, helping brands build their AI information management infrastructure from the ground up and elevate it from functional to optimal.

 

Source of featured image: Qiantu, licensed for commercial use

Categories
News

YOYI GEO Agent Featured in CAICT’s Digital Transformation Panorama, Reinforcing Leadership in AI Marketing

On September 16th, the “2025 Digital Ecosystem Development Conference & Mid-Year Meeting of the ‘Foundation-Building Initiative Project'” successfully concluded. The event brought together over 600 corporate representatives from various industries, including AI, internet, energy, transportation, and big data, to discuss the future development of digital ecosystems. During the conference, the China Academy of Information and Communications Technology (CAICT) Taier Terminal Laboratory officially released the “High-Quality Digital Transformation Products and Services Panorama (First Half of 2025)”. YOYI TECH, with its GEO Agent, was successfully selected in three core modules of the panorama—AI Agents, AI Large Models, and Marketing—thanks to its innovative technology and practices in the field of AI marketing. This achievement once again secured YOYI TECH’s position as a representative enterprise in the panorama. Additionally, Jun Dai, Vice President of Tech & Product at YOYI TECH, delivered a speech at the event.

 

YOYI GEO Agent is listed into High-Quality Digital Transformation Products and Services Panorama (2025)

According to in-depth enterprise research conducted by the CAICT’s “Foundation-Building Initiative Project”, user search behavior has entered the AI 3.0 era in 2025, with AI, transforming search from “information retrieval” into “intelligent assistants”. However, challenges such as “scattered and inaccurate AI information”, “unknown decision-making logic”, and “the limited effectiveness of traditional SEO strategies in the AI era” still persist. Meanwhile, the wide variety of AI products on the market makes it difficult for enterprises to efficiently identify the specific features and service capabilities of different solutions, doing harm to the implementation and advancement of digitalization. To help enterprises efficiently match with high-quality strategic partners and technological tools in their digital transformation journey, the CAICT, through a rigorous multi-tier selection and evaluation, has completed the development of the “High-Quality Digital Transformation Products and Services Panorama (First Half of 2025)”. YOYI TECH, with its outstanding achievements in AI-powered omnichannel marketing, has once again secured a place in the Panorama. Its flagship product, the YOYI GEO Agent, was selected across three core modules: AI Agents, Large Models, and Marketing. This repeated recognition highlights YOYI TECH’s cutting-edge capabilities in AI-driven omnichannel marketing and underscores the industry authorities’ strong endorsement of its technical expertise, product innovation, and market leadership. It also validates the forward-thinking direction represented by the YOYI GEO Agent in AI marketing.
Featured Product：YOYI GEO Agent
The YOYI GEO Agent specializes in brand information management within AI Q&A scenarios, empowering enterprises to manage and optimize the presentation of their brand information in AI-generated responses. This includes enhancing brand visibility in AI LLM platforms as well as in AI search, strengthening brand image, and ensuring information accuracy—finally enabling brands to secure a dominant position in AI-driven interactions. With AI-powered Q&A monitoring and semantic parsing technologies, the YOYI GEO Agent continuously tracks and analyzes responses generated by large language models to consumer inquiries. It evaluates the brand visibility, share of voice, sentiment index, and information accuracy, shaping a comparative competitive analysis. The system also delves into the media sources cited and annotations within model-generated answers, delivering suggestions to help brands optimize their AI information management strategies.

YOYI GEO Agent is listed into CAICT High-Quality Digital Transformation Products and Services Panorama(2025)

Based on deep insights, the YOYI GEO Agent guides brands in content optimization, verification of inclusion in large language models, and citation simulation. It empowers brands to enhance their visibility, share of voice, and positive perception in AI-generated responses—ultimately helping them secure traffic at the new generation of AI search entry points and achieve sustainable growth in the era of intelligent marketing.

YOYI GEO Agent Brand Information Management Solution Selected for CAICT’s “High-Quality Digital Transformation Technology Solutions Collection (2025)”

YOYI Tech will continue to deeply understand the core marketing needs of brand clients and pursue forward-looking exploration and innovation in cross-industry marketing models. We are committed to becoming a strategic partner that empowers our clients to achieve sustainable growth, enabling more brands to thrive in the new era of AI. Furthermore, YOYI Tech will further advance its expertise in AI marketing, continuously innovate and enhance its products, and collaborate with the industry to co-build a new ecosystem for intelligent marketing.

Categories
AdTech

AI Marketing: Five Key Roles and Practical Strategies

AI has evolved from a futuristic concept in marketing into a core technology driving personalized services, customer experience and predictive analytics. Forward-thinking brands are leveraging AI marketing solutions to deliver genuine personalization at an unprecedented scale. These tools are reshaping content creation, freeing marketers to focus on high-level strategy while reducing resource consumption. This article will break down the definition, value, and implementation strategies of AI marketing.

 

1 What is AI Marketing?

AI Marketing refers to the application of AI technology to automate and intelligently enhance marketing activities. It encompasses areas such as customer insights, content production, customer engagement, and performance optimization. At its core, AI Marketing leverages technologies like machine learning, natural language processing, and big data analytics to shift the marketing paradigm from a “person-to-product” model (where people find products) to a “product-to-person” model (where products find the right people). This transformation significantly enhances marketing precision and efficiency.

Generated by Dreamina

 

2 The Role of AI in Marketing

For marketers who value creativity and strategic thinking, AI is becoming an essential tool. By handling time-consuming tasks, AI frees up marketers to refocus on higher-level strategies, creative innovation, and boosting team productivity.

01 Content Creation

AI is transforming how marketing content is generated. From crafting engaging website copy and social media posts to producing high-quality static images and even compelling videos, these capabilities free up valuable time and resources for marketers. This new flexibility empowers them to experiment with diverse content formats, tailor messages to specific audiences, and ultimately deliver more impactful marketing experiences.

02 Personalized Recommendations

AI-driven recommendation engines analyze vast, multi-dimensional user datasets in real time—including historical browsing paths, purchase records, search keywords, page dwell time, social interactions, and device information—to deeply learn and understand each consumer’s unique preferences, behavioral patterns, and latent interests. This enables instant delivery of personalized content and product recommendations, effectively boosting customer loyalty, user retention, and engagement.

03 Customer Service

Early AI customer support tools (such as rule-based chatbots) could only handle standardized queries (e.g., order status) with rigid interaction patterns reliant on predefined scripts. Today, generative AI assistants leverage natural language processing and deep learning to deliver end-to-end journey coverage and dynamic ticket management.

End-to-End Journey Coverage: 

  • Pre-sales consultation: Interpreting ambiguous requests and recommending product combinations;
  • In-sales support: Resolving complex issues in real-time and auto-triggering workflows;
  • Post-sales maintenance: Diagnosing product failures and providing step-by-step troubleshooting guides.

Dynamic Ticket Management:

  • Automatic prioritization of urgent tickets (e.g., keywords: “critical failure,” “complaint”);
  • Predictive maintenance through historical ticket analysis and proactive solution delivery.

04 Predictive Analytics

AI analyzes historical data to forecast future trends, empowering marketers to make data-driven decisions and optimize workflows. By identifying patterns in customer behavior, it predicts product performance, optimizes pricing strategies, and enhances lead scoring accuracy. Businesses leverage these insights to refine marketing strategies, reduce customer attrition, and explore new markets aligned with consumer demand.

05 Search Engine Optimization

AI-powered tools excel at keyword research, analyzing search intent, and suggesting content topics aligned with current trends and user behavior. They also evaluate backlink profiles and identify high-quality link-building opportunities to enhance domain authority and search rankings. By providing insights into voice search optimization and user experience metrics, AI empowers marketers to holistically optimize websites, achieving sustainable organic growth.

 

3 Developing an Effective AI Marketing Strategy

01 Auditing Existing Marketing Efforts

Before integrating AI into your marketing strategy, conduct a thorough audit of your current processes. Identify efficiency bottlenecks and areas primed for optimization.

02 Defining AI Marketing Objectives

Clearly outline the goals and tasks you intend AI to accomplish before selecting tools or initiating platform testing. This aligns your AI strategy with core business objectives and enables effective prioritization.

03 Selecting Suitable AI Tools

Choosing the right AI tools is critical for developing an effective marketing strategy. Key AI solutions worth exploring include: AI content generation tools that produce copy, images, and more; Predictive analytics tools that forecast customer behavior and optimize campaigns; Personalization engines delivering real-time recommendations based on user data; Marketing automation platforms automating cross-channel customer journeys.

04 Testing and Analyzing AI Data

One of the pitfalls of AI in marketing is its susceptibility to inaccurate data. Regularly collect, test, and analyze AI-generated data to detect and eliminate these inaccuracies on an ongoing basis.

05 Tracking and Optimizing Your AI Marketing Strategy

Once AI is embedded within your marketing strategy, continuously monitor its impact and refine execution as needed. Define KPIs to measure success, such as: conversion rate lift, engagement and retention metrics, reduction in manual workload and operational costs, ROI of AI-driven marketing campaigns, customer satisfaction scores and feedback on AI interactions.

 

AI marketing represents not merely a technological revolution, but a profound transformation in marketing philosophy and business models. Only by deeply understanding its essence and systematically building integrated capabilities across data, technology, processes, and teams can AI marketing truly transition from concept to implementation, unlocking AI’s full commercial potential. In the future, AI-driven marketing will become the decisive competitive edge for businesses vying for market leadership.

 

Source of featured image: Photo by Zulfugar Karimov on Unsplash

Categories
GEO

Unlock The Mistery of Chinese GEO Ecosystem

As generative AI technology reshapes market dynamics in 2025, the way users access information is rapidly shifting from traditional search engines to AI applications. According to Gartner’s forecast, traditional organic search traffic will drop by over 50% by 2026, with 79% of consumers relying on generative AI for information. In this context, YOYI TECH’s GEO-AI brand monitoring Agent (referred to as “YOYI GEO Agent”) has emerged as a key tool for brands aiming to seize the opportunity at the AI-driven knowledge entry point, powered by its multidimensional core advantages such as technology adaptation, functional coverage, data management, and intelligent analytics.

 

What is GEO and How it Works

GEO, or Generative Engine Optimization, refers to the process of optimizing brand content across owned media (like websites, blogs, and social media pages), paid media (including news outlets, paid social, and influencer accounts), and earned media (such as reviews, social shares, influencer-generated content, and mentions). This optimization enhances brand visibility, Share of Voice (SoV), information accuracy, and positive sentiment within answers generated by AI search engines like ChatGPT, Gemini, Perplexity, DeepSeek, Doubao, Kimi, and others.

The core purpose of GEO is to amplify brand exposure on relevant AI queries and manage the bias in information accuracy. Ultimately, it drives more targeted traffic to your website and social media platforms, increasing product interest and fostering customer conversion and loyalty.

Given the specific AI Large Language Models (LLM) prevalent in China, the GEO landscape in China differs significantly from that abroad. To understand these nuances and leverage them for greater impact, let’s examine key players in the Chinese GEO market.

 

Comparison of GEO Providers in China vs. Abroad

In the global GEO service field, many providers have emerged, each competing with unique advantages and features. This article analyzes YOYI TECH’s GEO product compared to other global GEO providers, highlighting YOYI TECH’s comprehensive functionality and its suitability for the Chinese market.

Globally, providers like Profound, Otterly.ai, Goodie.ai, and Scrunch have expanded their services internationally, demonstrating robust global market presence. YOYI TECH, however, has strategically focused on the Chinese market, enabling it to deeply understand local needs, policies, regulations, and consumer behavior. In terms of large model compatibility, other providers focus on internationally recognized models such as Google SGE, ChatGPT, and Gemini. YOYI TECH, on the other hand, works with models like DeepSeek and Doubao (Cici), which are more widely used and recognized in China, making its services highly suitable for domestic businesses.

Profound has built the world’s largest real-user AI prompt database, offering comprehensive analytical perspectives, which gives it a significant edge in data-driven analysis. Otterly.ai, with its easy-to-use interface, focuses on monitoring features and offers GEO audit as a first step, attracting users who wish to quickly assess their GEO status. Goodie.ai offers complete functionality, with its attribution algorithm tracking everything from prompt exposure to sales, in collaboration with platforms like Shopify to enhance sales conversion tracking.

YOYI TECH’s standout advantage lies in its precise coverage of the Chinese market. By closely aligning with China’s AI ecosystem and public sentiment, YOYI TECH can quickly identify potential risks in a complex and evolving local environment, helping businesses maintain a positive brand image. Additionally, YOYI TECH ensures compliance with local data regulations, mitigating concerns around data security and privacy. Moreover, YOYI TECH provides accuracy-focused services, ensuring that brand information is accurately presented in China’s large models.

 

YOYI GEO Agent

YOYI TECH’s GEO product directly addresses the changes in user behavior driven by generative AI. It helps brands become AI-prioritized sources by tackling the trend of “AI search zero-click” and optimizing the generative engine (GEO) process. The core functions of YOYI GEO include:

  • End-to-End Brand Monitoring and Optimization: Real-time tracking of brand content across mainstream large models (such as DeepSeek), ensuring continuous AI prioritization by updating content via dynamic knowledge graphs.
  • Public Sentiment and Risk Defense: Detects misinterpretations or low-quality information in AI-generated content, with a risk alert system that helps businesses address potential public opinion crises.
  • Closed-Loop Verification and Iteration: Supports content verification and model reviews to determine if brand content is incorporated into AI systems, and measures the impact of revisions on AI-generated outcomes. This forms a continuous loop of “Publishing – Monitoring – Optimization.”
  • Multi-Dimensional Intelligent Analysis: Provides deep insights for decision-making, analyzing brand exposure, sentiment analysis, media distribution, and impact.
  • Sophisticated Data Management: Ensures flexible data status control and personalized tagging for companies, offering customizable monitoring solutions that meet the needs of different roles within a company

The Chinese GEO market, with its unique local dynamics, presents a significant opportunity for brands looking to leverage AI for enhanced marketing performance. YOYI TECH’s GEO product provides a comprehensive, data-driven solution that optimizes brand exposure, manages public sentiment, and ensures compliance with local data regulations. By focusing on the local AI ecosystem, YOYI TECH helps brands navigate China’s complex market and build sustainable, high-performance marketing ecosystems.

Source of featured image: Photo by Growtika on Unsplash

Categories
AIGC News

YOYI TECH Shines at G-Media Summit: Five AI Omnichannel Marketing Scenarios Fuel High-Quality Growth

As a premier annual event in the advertising and marketing industry, the G-Media Summit has attracted hundreds of brand representatives over its nine-year history. Curated by its organizers, the summit brings together top-tier marketing service providers and media platforms to explore new directions in the era of human-centered marketing. Fang Cai, Chief Operating Officer of YOYI TECH, was invited to deliver a keynote on “Five AI-Driven Scenarios for Omnichannel Marketing to Power High-Quality Growth.” Fang emphasized that the true value of AI Agents can only be unlocked under three prerequisites: AI-ready data, AI-compatible workflows, and AI-friendly content.

AI Is Reshaping the Industry—And the Data Proves It

Technological advances are transforming both marketing products and user behavior. According to multiple authoritative research institutions, the AI marketing wave is unstoppable. iResearch forecasts that by 2030, the Chinese AI advertising market will reach RMB 127.8 billion. IDC projects that China’s overall AI Agent market will hit RMB 60 billion by 2028. Globally, one in four users is expected to change how they search for information.

Drawing from 18 years of industry experience and robust data assets, YOYI TECH has conducted deep client research and identified five core scenarios where brand marketers face critical demands. For each, YOYI TECH has developed a corresponding AI Agent solution—creating a matrix that enables brands to adapt rapidly and achieve high-quality growth in the AI-powered era.

Breaking Through the Data Fog: The Insight Agent Tackles Redundancy and Timeliness

“Enterprises today don’t lack data—they have too much of it,” said Fang. The problem lies in vast, high-volume, and highly unstructured data sources. This leads to redundancy and inefficiency—data exists, but insights are elusive. Even when insights are eventually extracted, the delay in filtering, cleansing, and analyzing often renders them obsolete.

YOYI TECH’s enterprise-level AI Insight Agent is built upon proprietary brand knowledge bases, industry-specific databases, and third-party knowledge repositories. With natural language prompts, marketers can instantly generate customizable, visually enhanced reports. Each report iteration includes real-time insight outputs driven by intent analysis, KPI correlations, and multi-dimensional data cross-analysis—empowering brands to respond to market shifts with agility.

Elevating Strategy: The Strategy Agent Ushers in a Decision-Making Revolution

Traditionally, marketing strategies have relied on expert intuition, with data insights playing a secondary role. “AI allows us to systematize and scale marketing know-how by embedding it into data-driven, traceable processes,” Fang noted.

YOYI TECH’s AI Strategy Agent utilizes Retrieval-Augmented Generation (RAG) to dynamically draw from internal, industry, and third-party knowledge repositories. It transforms the experiential wisdom of brand marketers and industry experts into structured knowledge graphs. By integrating and cross-referencing these resources algorithmically, the Strategy Agent surfaces optimal strategic paths that align with varied campaign goals.

Content Transformation: The Content Agent Delivers Mass Personalization at Scale

Content is the bridge between brands and consumers. In today’s fragmented media landscape, brands must generate platform-specific creative content for advertising, social, and owned media. Each platform requires unique formats and tones, demanding massive resources for content adaptation.

YOYI TECH’s AI Content Agent streamlines this complexity. By integrating top-tier models like GPT-4o, Gemini 2.0, and Claude, it enables one-click generation of media-ready content aligned with each platform’s requirements. Beyond static assets, it also automates video editing and adaptation for multi-platform publishing.

The engine behind this efficiency? Continuous model training based on historical ad creatives and ongoing optimization via brand-specific product catalogs. The result is an intelligent system capable of delivering high-quality, compliant, and highly personalized content at scale instantly.

Operational Excellence: The Operation Agent Drives 24/7 Full-Funnel Optimization

From media buying to private traffic operations and lifecycle management, traditional execution has long depended on manual processes, SOPs, and mentor-apprentice models, which slows responsiveness and consistency.

YOYI TECH’s AI Operation Agent redefines this approach with a 24/7 intelligent control center trained on vast campaign data and fine-tuned for precision. It spans the full lifecycle: from objective setting and diagnosis to real-time optimization and performance control. The Agent provides early warnings, corrects strategies, and continuously refines key elements such as audience targeting, media mix, creative rotation, and frequency control.

Crucially, all operational insights feed back into the brand’s exclusive knowledge base—creating a self-reinforcing cycle of data-driven decisions, intelligent execution, and experience evolution.

Fang illustrated the transformation journey of a leading consumer electronics brand across three AI integration phases:

Phase 1: Data & Strategy Enablement

  • Connected the brand’s internal knowledge base, historical media data, and YOYI TECH’s industry repository.
  • Deployed the Insight Agent and Strategy Agent.
  • The Insight Agent powered ChatBI modules for automated reporting and ROI optimization across campaign types.
  • The Strategy Agent learned from years of historical data to generate strategy sets aligned with brand goals and adapt them in real time.

Phase 2: Content Intelligence

  • Integrated the brand’s product catalog to fine-tune a content agent tailored to brand tone.
  • Automatically generated platform-specific creatives across images, videos, and copy formats.

Phase 3: Operational Enhancement

The Operation Agent tracked campaign performance end-to-end, dynamically optimizing audiences, media selection, and budget control to maximize ROI.

Results:

  • +70% ROI improvement
  • Campaign analysis time reduced to 30 minutes
  • Content production costs down 77%
  • Smart knowledge accumulation for future AI deployment

Winning the Search Battle: The GEO Agent Solves Brand Visibility Challenges

With AI redefining information retrieval, Gartner forecasts that by 2026, 25% of traditional search traffic will be replaced by AI search traffic. As user behavior shifts from search engines to AI chat, brands must adapt to maintain visibility in this new ecosystem.

“Search has entered the 3.0 era—intelligent, personalized, and unpredictable,” Fang noted. Different models yield different answers, creating both challenge and opportunity.

YOYI TECH’s GEO (Generative Engine Optimization) Agent addresses this shift by helping brands:

  • Boost brand mentions
  • Strengthen brand positioning
  • Maintain consistent and accurate brand messaging across AI interfaces

For example, when users asked “What’s the best phone under RMB 5,000 for university students?”, a leading smartphone brand was absent from the AI-generated recommendations, while competitors dominated the list. The GEO Agent analyzed the underlying information sources, identified gaps, and advised content strategy adjustments. Post-optimization, the brand appeared in AI recommendations successfully.

GEO Agent tracks search patterns, flags brand mentions, and simulates pre-publishing impact to maximize inclusion in AI-generated content. Visual dashboards help clients monitor their AI search health in real time.

The AI Agent Activation Code: AI-Ready Data, AI-Compatible Workflows, and AI-Friendly Content

YOYI TECH’s AI Agent Matrix covers insight, strategy, content, operations, and GEO—creating a closed-loop system from early-stage analysis to downstream brand management. However, Fang reminded the audience that these Agents only work when foundational elements are in place:

  • AI-Ready Data: Build connected, multi-source knowledge ecosystems that enrich AI agents with both static archives and live updates.
  • AI-Compatible Workflows: Avoid siloed tool adoption. Integrate AI into a streamlined, end-to-end process that enhances collaboration across departments.
  • AI-Friendly Content: Optimize structure, keywords, and publishing channels to ensure LLMs understand and prioritize your brand.

 

From Efficiency to Value: YOYI TECH‘s Vision for Intelligent Marketing

YOYI TECH’s AI Agent Matrix is not just a response to industry pain points—it’s a systematic realization of “technology empowering business.” From insight to strategy, content to operation, and into the era of AI-led search, YOYI TECH is elevating AI from tool to strategic partner.

As Fang Cai concluded, “True AI marketing is not about stacking technologies—it’s about making AI Agents your brand’s invisible growth partner.” With continued iteration of the Agent Matrix and deepening of industry-specific knowledge bases, YOYI TECH is guiding the marketing sector into a new phase: from efficiency gains to value creation—anchoring high-quality growth amid uncertainty.

Categories
News

YOYI TECH Unveils AI Agent Matrix and Embarks on a New Era of AI Omnichannel Marketing

On May 15th, YOYI TECH hosted its “AI Omnichannel Marketing: Armed with AI, Igniting the Future” press conference in Beijing, officially announcing a major strategic upgrade to “AI Omnichannel Marketing” and unveiling its comprehensive AI Agent Matrix, featuring the debut of a brand-new agent. This move represents a technological leap forward, establishing a full-stack AI decision-making system spanning the entire marketing value chain built on an integrated foundation of “AI Engine + Multi-Agent Collaboration.” It marks a milestone in YOYI TECH’s journey toward the practical application and ecosystem development of AI MarTech.

YOYI TECH Strategic Upgrade: Ushering in the Era of AI Omnichannel Marketing

This strategic upgrade reflects the ongoing evolution of YOYI TECH’s technological DNA, from “Intelligent Omnichannel Marketing” to the new paradigm of “AI Omnichannel Marketing.” The essence is elevating AI from a support function to the central driver of marketing decision-making. YOYI TECH is redefining its market position across three critical dimensions: positioning, technology, and value.

A Natural Evolution of Technological Maturity: In tandem with the development of China’s digital marketing industry, YOYI TECH has advanced through the mobile marketing, cross-screen marketing, and omnichannel marketing eras. With over 2 billion unique user IDs and 1,000+ enterprise clients, including 60% Fortune Global 500 brands, YOYI TECH has built deep data and operational foundations. Since launching its “AI First” strategy in 2022, the company has invested heavily in LLM training and the construction of industrial knowledge bases. The release of YOYI AI Agent Matrix is the culmination of 15-year technical expertise.

From “Efficiency Tools” to “Decision Pivot”: Traditional omnichannel marketing was centered around data integration and tool synergy, such as breaking down the silos between public and private domains. In contrast, AI Omnichannel Marketing emphasizes native AI decision-making capabilities. The AI Agent Matrix automates the full lifecycle of campaigns: data insight, strategy generation, content creation, operation optimization and information management.

Seamless Alignment Between Organization and Business Operations: To ensure full implementation of new strategy, YOYI TECH has restructured its organization by integrating its Business Delivery Team with Tech and Product team, to form Tech & Delivery Center, expanding large model training team, and hence fosters synergy between R&D and business demands. As CEO Roy Zhou noted: “This is far more than a rebranding. It marks a profound shift in how we envision the future of marketing, transforming our technological foundation, organizational strength, and service model to lead the next era of intelligent innovation.”

 

Introducing the YOYI AI Agent Matrix: Rebuilding the Omnichannel Marketing Ecosystem

The core of AI Omnichannel Marketing is to shift marketing decision-making from human-driven to AI-led. Under this strategic framework, YOYI TECH has introduced the YOYI AI Agent Matrix, building a collaborative ecosystem of intelligent agents:

AI Insight Agent: Engages in the form of dialogue for efficient and multi-dimensional data queries, as well as auto-generation of visual analysis reports.

AI Strategy Agent: Draws from YOYI TECH’s expertise across 20+ industries, 1,000+ leading brand service experience, and extensive media & marketing knowledge bases to deliver optimized recommendations for audience segmentation, media mix, content planning, and budget allocation.

AI Content Agent: Leveraging product databases, creative libraries, and ad compliance rules, applies text-to-image and image-to-image generation technologies to create adaptive, multi-format creatives automatically.

AI Operation Agent: Monitors campaign performance in real-time and auto-generates optimization plans using advanced models based on different algorithms (CTR, CVR, oCPX) so as to refine audience targeting, frequency capping, etc.

YOYI GEO Agent: Focuses on AI-powered brand information management across different AI chatbots, which supports end-to-end brand reputation management from query monitoring to AI response optimization.

“The YOYI AI Agent Matrix is more than a collection of standalone tools. It’s a fully integrated system powered by our proprietary AI engine,” said CEO Roy Zhou. “These agents work together across the full cycle of insight, strategy, content, operation, and information management, helping brands shift from traffic-driven growth to value-driven outcomes in the AI era.”

Launching YOYI GEO Agent: A Brand Information Management Center in the Age of AI Search

As AI-powered search becomes the primary gateway for information, brands face new challenges: how to track share of voice, brand image and ensure consistent brand information in AI search. In response, YOYI TECH launched YOYI GEO Agent which is specifically designed to address these pain points and empower brands to win attention in the AI search era.

During the press conference, COO Fang Cai delivered a hands-on walk-through of the YOYI GEO Agent, highlighting its three core capabilities:

Collection & Modeling: YOYI GEO Agent continuously captures brand-related Q&A content through leading LLM applications such as DeepSeek and Doubao (Cici), classifying data by topic, sentiment, and source. A visual dashboard shows KPIs such as brand SOV trend, high-frequency questions, and media citation rate, helping brands locate their advantages and vulnerabilities during communication. It also enables data annotation and the enrichment of Q&A datasets, building a proprietary brand AI knowledge base over time.

Evaluation & Diagnostic: The agent evaluates how a brand is represented across AI-generated responses and the distribution of media indexed. With YOYI TECH’s AI sentiment engine, it identifies tone, emotional bias, and preference in different Q&As. Brands can upload their internal knowledge bases to cross-reference AI output for factual consistency.

Tracking & Optimization: YOYI GEO Agent provides recommendations to improve brand SOV, crafts optimized content based on verified brand data (product attributes, selling points, etc.), and simulates how branded responses would perform in major LLM Applications to ensure the accuracy and consistency of brand information.

The technical foundation of YOYI GEO Agent lies in the integration of LLM Engines and industrial know-how. By combining public LLM capabilities with YOYI TECH’s proprietary marketing expertise, the agent uses Retrieval-Augmented Generation technology to deliver contextually relevant, brand-consistent outputs. As a core component of YOYI TECH’s AI Agent Matrix, YOYI GEO Agent works closely with other agents across data, strategy, content, and performance layers.

Conclusion: From Marketing Innovation to Enterprise-Grade AI Decision-Making Ecosystem

YOYI TECH’s strategic shift to AI Omnichannel Marketing marks a major milestone, not only for the company but for the digital marketing industry as a whole. Looking ahead, YOYI TECH will continue to evolve its agent ecosystem by launching more vertical AI agents, deepening integration with enterprise marketing systems and delivering standardized, scalable AI marketing solutions.

For brands, the AI Agent Matrix of YOYI TECH represents a paradigm evolution from experience-driven to intelligence-driven decision-making, and from partial optimization to full-journey orchestration. By leveraging AI to deliver meaningful value and accumulate strategic assets, brands will gain long-term competitive advantages through the next wave of technological disruption.

 

About YOYI TECH

Founded in 2007, YOYI TECH is a pioneer in AI Omnichannel Marketing. With industry-leading capabilities in omnichannel data integration, unified ID mapping, multi-dimensional analytics, and precision targeting, YOYI TECH has delivered AI marketing solutions to over 60% of Fortune 500 brands across FMCG, Retail, Travel & Hospitality, Luxury, Consumer Electronics (3C), and Automotive sectors.

Since 2013, YOYI TECH has earned nearly 150 industry awards, including the ROI Festival, Tiger Roar Awards, Bowstring Marketing Technology Awards, DMAA Global Digital Marketing Awards, PENGUIN BP 2050 Top 50, and MMA Smarties Awards.

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Decoding China’s Consumer Journey: How AI, Social Commerce, and DOOH Are Transforming Brand Success

By the time the last panel discussion wrapped up, one thing was clear from the webinar hosted by YOYI TECH, Xingchang Xinda Technology, and VIOOH China: winning in China’s evolving digital marketing ecosystem now demands a whole new level of strategic agility. From personalized AI-driven advertising to the fusion of social commerce and programmatic DOOH, the conversations sparked a powerful call to rethink what it takes to truly connect with China’s next generation of consumers.

Kicking off the session, Andy Ng, Managing Director of International Business at YOYI TECH, set the tone with a compelling dive into how AI is no longer a futuristic concept, but an essential reality in China’s advertising landscape.

He walked the audience through the shift from mass digitization to today’s AI-enabled marketing, where real-time personalization, predictive targeting, and creative automation are redefining what relevance means. As Andy described, it’s no longer enough to simply reach consumers; brands must now craft micro-segmented journeys, tailored to individuals’ precise behaviors and preferences across screens, moments, and moods.

His example of Sephora’s transformation made this evolution tangible. Faced with fragmented audiences and mounting creative fatigue, Sephora leveraged YOYI TECH’s AI engine to dynamically build personas, adapt creative variations, and optimize campaigns in real time. The result was not just higher engagement, but smarter, faster scaling — with a 24% rise in click-through rates and a 33% lift in ROI. Andy likened this precision approach to perfecting a dating strategy: not about meeting more people, but about meeting the right people, at the right time, with the right message. It’s a simple analogy, but a powerful reminder of how deeply AI can now influence every layer of the brand-consumer relationship.

This idea of depth over breadth carried forward as Kaicey Chae, VP of Business Development at Xingchang Xinda Technology, shifted the spotlight to Xiaohongshu, or RedNote — a platform now indispensable to China’s young, discerning consumers.

Kaicey’s presentation revealed how RedNote, once seen merely as a lifestyle app, has evolved into a trusted discovery engine and e-commerce powerhouse. In an environment where user-generated content is king, brands must no longer just broadcast messages — they must cultivate genuine conversations and community advocacy.

Kaicey’s breakdown of RedNote’s dual-cycle marketing system — where discovery and transaction intertwine seamlessly across platforms — offered a clear blueprint. His case study on Melvita demonstrated the power of this model: within just 18 months of launching a RedNote flagship store, the brand achieved nearly 1,000% GMV growth, while simultaneously boosting Tmall sales by over 76%.

Far from being a siloed channel, Kaicey argued, RedNote should be treated as a core node in a broader omnichannel ecosystem — one where UGC, KOLs, and e-commerce platforms feed each other in a virtuous circle.

The narrative then turned outward, quite literally, as Calvin Chan, CEO of VIOOH China, led a provocative session on how Digital Out-of-Home (DOOH) advertising is being reinvented through programmatic technology. For many, OOH may conjure images of static billboards — but Calvin demonstrated that today’s DOOH is a dynamic, data-driven force that integrates seamlessly into omnichannel strategies.

With over 50% of China’s OOH inventory now digitalized, Calvin emphasized how brands can use real-time triggers like weather, location, and behavioral data to target audiences more precisely than ever before. He painted a picture of cross-screen synergy: reaching a commuter via a Shanghai metro screen at 8 a.m., and retargeting them later that day on their mobile device with a personalized offer. DOOH, he insisted, is no longer just a brand awareness tool — it can drive full-funnel engagement and measurable outcomes, bridging the online and offline worlds in powerful ways.

The concluding panel discussion tied these threads together, exploring how brands can build a high-impact omnichannel strategy in China. Andy highlighted the critical need for localized AI models that work seamlessly across channels, not just optimizing reach but elevating relevance at every touchpoint. Kaicey reiterated that authentic platform usage — understanding the unique nuances of RedNote, for example, rather than treating it like a Western social network — is vital for winning consumer trust. Calvin brought it full circle, stressing that no channel should stand alone: programmatic DOOH, mobile, social, and e-commerce must operate as parts of a unified ecosystem, designed to follow and engage the consumer across their journey.

If there was a single takeaway from the event, it was this: success in China’s market today demands not just a presence, but a plan — an intelligent, integrated, omnichannel plan powered by real insights, smart AI, and cultural nuance.

As the landscape continues to evolve at breakneck speed, YOYI TECH stands ready to partner with brands ready to embrace this future. With advanced AI-driven advertising solutions and an unmatched understanding of China’s digital terrain, YOYI TECH offers the tools and expertise to help brands not just survive, but truly thrive.

For those ready to unlock their next phase of intelligent growth, the message from the webinar was clear: the future is already here — and the time to act is now.

 

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YOYI TECH: Pioneering AI, Forging a Future of Global Expansion

YOYI TECH: Pioneering AI, Forging a Future of Global Expansion

YOYI TECH, dedicated to AI-driven omnichannel marketing, is charting a path to global expansion, focusing on enabling international brands to thrive in the lucrative Chinese market. With its latest Singapore office launch, the company is poised to redefine cross-border digital marketing strategies.

Data from China’s General Administration of Customs shows that, from January to September 2024, China’s total import and export value reached $4.552 trillion, marking a 5.3% year-on-year increase. Of this, cross-border e-commerce trade accounted for $264.71 billion, an 11.5% increase from the previous year, demonstrating strong momentum. These figures underscore the vibrancy of China’s cross-border trade market and its enduring strategic value for international brands.

Building on this momentum, YOYI TECH has pursued a global expansion strategy to help international brands connect with Chinese consumers and achieve sustainable growth. Over the years, YOYI TECH has provided localized digital marketing solutions and products to clients across diverse industries, including tourism boards, global hospitality groups, cultural and tourism associations, the F&B sector, retail, and automotive enterprises in Southeast Asia and the Middle East. With increasing recognition of its products and services overseas and signs of revitalization in the domestic market, YOYI TECH is strengthening its AI capabilities. The recent establishment of its international office in Singapore marks a pivotal upgrade in its global strategy.

 

01 Tapping Into China’s Evolving Consumer Market

China’s GDP reached $8.688 trillion in the first half of 2024, reflecting a 5.0% year-on-year growth, according to the National Bureau of Statistics. This sustained performance cements China’s status as one of the global economic leaders. Additionally, per capita disposable income grew by 5.3% in real terms, while total retail sales of consumer goods rose by 3.75%, signifying a steady recovery in the consumer market.

The tourism sector has also seen remarkable growth. The Ministry of Culture and Tourism reports a 14.3% year-on-year increase in domestic tourists in H1 2024, with total tourism spending rising by 19.0%. Outbound travel demand among Chinese consumers is particularly strong, as border-crossing traffic surged by 62.34% from January to July 2024, according to the National Immigration Administration.

This robust domestic market recovery provides an ideal environment for YOYI TECH to accelerate its international expansion. By combining its expertise in the Chinese market with advanced AI and data-driven technologies, YOYI TECH empowers overseas brands to successfully navigate cultural, economic, and regulatory nuances, helping them seize opportunities and minimize risks.

 

02 Expanding with AI: A Strategic Leap Forward

YOYI TECH’s core strength lies in its exceptional data capabilities. Through its proprietary OneID technology, the company integrates data from diverse sources to create a unified omnichannel marketing ecosystem. This system spans channels such as CTV, mobile, PC, and DOOH, enabling comprehensive and regulation-compliant insights-led marketing for overseas brands.

The company’s data matrix encompasses over 2 billion personal IDs, 240 million active household IDs, and 30,000 household tags. Collaborating with 50+ data providers, YOYI TECH has established a robust foundation for omnichannel marketing. Leveraging “AI + Big Data,” the company develops tailored AI ad models for industries, ensuring precise audience targeting, cost efficiency, and campaign effectiveness.

Beyond its technological offerings, YOYI TECH provides international brands with deep strategic support, helping them navigate the complexities of the Chinese market. From cultural insights to policy guidance, YOYI TECH ensures its clients achieve impactful advertising and conversion results.

 

03 Case Study: Empowering Brands Through Data-Powered Campaigns

YOYI TECH’s work with a Southeast Asian tourism board demonstrates its ability to deliver measurable results. As consumer behavior becomes more complex, with China’s outbound travelers engaging across multiple channels before making decisions, YOYI TECH designed a cross-screen media strategy to address this shift.

The campaign covered all stages of the consumer decision-making process:
● Awareness: High-impact DOOH and CTV ads established brand visibility.
● Engagement: Mobile video ads reinforced brand messaging and education.
● Conversion: Display ads targeted interactions and drove conversions.

By leveraging cross-screen ID integration, YOYI TECH precisely targeted affluent families and key decision-makers interested in outbound travel. The company also employed AI-powered frequency capping to optimize the number of ad impressions for each unique user, ensuring cost efficiency and higher engagement rates.

Campaign Results at a Glance:
● Ad Impressions: 17.4 million
● Households Reached: 2.4 million
● Individuals Reached: 7.5 million
● CTR Growth: 45%
● Landing Page UV Growth: 81%
● Average Visit Duration Growth: 307%

These results illustrate YOYI TECH’s capability to drive high-impact campaigns tailored to customer needs.

 

04 Looking Ahead: Innovation and Leadership

Under the leadership of CEO Zhou Wenbiao, YOYI TECH has made significant strides in enhancing its products and customer experience, earning praise from clients across Southeast Asia and the Middle East. The establishment of its Singapore branch signals a major step in its global journey.

Andy Ng, the newly appointed Managing Director of International Business, brings extensive expertise in advertising technology and market expansion to YOYI TECH. Formerly Vice President for the Asia-Pacific region at iion, Andy Ng is now tasked with leading YOYI TECH’s international team and accelerating its overseas market expansion.

As YOYI TECH continues to innovate, it remains steadfast in its mission to deliver cutting-edge strategies and personalized solutions for international brands. By harnessing the power of AI and data, YOYI TECH aims to create long-term value for clients and redefine the future of global digital marketing.

The monetary data in this article has been converted from Chinese Yuan (CNY) to US Dollars (USD) based on the real-time exchange rate as of October 21, 2024.

About YOYI TECH
YOYI TECH has developed an intelligent omnichannel marketing platform over more than a decade of technical upgrades and product refinement. With experience serving 1,000+ domestic and international brands, YOYI TECH has established a mature market expansion approach, helping 80% of Fortune Global 500 companies successfully enter and thrive in the Chinese market with ease and effectiveness.

Source of featured image: Qiantu, licensed for commercial use

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