Greatly enhance brand image
In the era of information overload, it is crucial to make your brand the trusted source of "standard answers" for AI engines. Through systematic Generative Engine Optimization (GEO), your brand content will be deeply structured, making it more compatible with AI analysis and citation preferences. When your high-quality content, such as technical white papers and in-depth industry insights, is pre-set in a clear and structured framework on official websites, encyclopedia entries, and authoritative media platforms, it becomes easier for AI question-answering platforms like DeepSeek, Doubao, and Tencent Yuanbao to recognize and prioritize it as an authoritative source when generating answers. This trust effect endorsed by AI systems can continuously consolidate and enhance users' long-term recognition of the brand. When AI repeatedly recommends your brand content as a core part of the solution to users, it directly shapes the brand's image of professionalism and industry authority in users' minds. This enables the brand image to achieve a qualitative leap in fierce market competition, transitioning from an ordinary information provider to a definer of industry knowledge.
Ranking first in AI answers
Are you concerned that when customers have specific needs, they may not see your brand in AI responses, while high-intent customers are firmly locked in by other competitors? Currently, the way users obtain information is shifting from active "search" to directly "asking" AI questions. According to Gartner research, traditional search engine traffic will decline by 25%, while AI-driven content interaction volume will surge by 300%. Over 80% of consumers, especially younger ones, obtain shopping decision-making information through AI platforms. This means that in the future, if companies ignore optimization for AI generative engines (GEO), they will miss out on a vast number of precise reach opportunities. By accurately mapping keywords and scenarios that users frequently ask, GEO can help your brand achieve a breakthrough in achieving a top recommendation rate of over 90% for specific questions such as "recommended overseas investment companies" and "choice of high-end clothing care machine", thereby intercepting competitor traffic at the source and effectively converting every high-intent customer.
Marketing customer acquisition, cost reduction and efficiency improvement
In today's fiercely competitive market environment, generative engine optimization makes every marketing investment more precise and long-lasting in this process. Through systematic optimization strategies, brand information can be deeply embedded into highly relevant answer scenarios generated by AI models, thereby directly reaching users who have active searches and clear needs. This precise reach mode, from "people seeking information" to "information seeking people", can significantly reduce ineffective low-quality exposure from the source and significantly reduce customer acquisition costs by 60%-70%. It can quickly build a short chain of "cognition-trust-decision" in users' minds, greatly improving the conversion efficiency of potential customers and the retention rate of long-term cooperation. These high-quality contents will precipitate into digital assets that continuously bring precise and natural traffic, helping enterprises gradually reduce their excessive dependence on short-term high-cost advertising. Ultimately, it achieves long-term optimization and virtuous cycle of customer acquisition mode, building a solid competitive barrier for the brand.
with10years of industry experience, we have served over1,000brand clients in total，The business covers a wide range, involving more than 100 sub-sectors.Focusing on technology-driven growth, the success rate of AI answer embedding remains stable at 95%,Significantly enhance brand exposure.The search ranking of core keywords has been improved by an average of over 50 positions,Effectively capture precise traffic. The effective business leads obtained by customers have been increased by an average of 100%.
It has covered mainstream AI platforms such as DeepSeek, Doubao, ERNIE Bot, Tencent Yuanbao, and Alibaba Qianwen, achieving significant breakthroughs in multiple key performance indicators: the efficiency of multimodal content generation has increased by 280%,The platform's adaptation speed is more than 30% faster than that of its industry peers,It can help brands increase their exposure by approximately 300% within 2 months.
We have established a seamless coordination mechanism between "24-hour AI intelligent monitoring" and "exclusive customer service team 1V1 service". In the face of rapidly evolving technological environments,Efficient adaptation to algorithm updates on mainstream AI platforms is completed within 72 hours. Thanks to this system, our historical contract fulfillment rate has reached 100%,The customer renewal rate consistently exceeds96%.Ensure that every delivery is controllable, traceable, and reliable.
We are committed to clarifying core optimization objectives, key AI platform positions, and a core keyword library. The achievement of this goal relies on insight into the market competition landscape, a deep understanding of target users, and a clear understanding of actual business operation models, thus providing clear guidance for subsequent actions.
We systematically analyze the competitive landscape of your industry, the search ranking rules and algorithm preferences of mainstream AI platforms, precisely align with your core business objectives, design a customized content optimization technical solution, integrate thesaurus resources from over 300 industry segments, and ensure that the strategy can be efficiently adapted to major mainstream AI platforms, thereby achieving precise reach to target customers and maximizing effectiveness.
Inject structured data such as JSON-LD and FAQPage, systematically integrate multimodal content including images, videos, and voice, and construct the target content into machine-readable "knowledge units". This initiative aims to enhance the efficiency of content crawling and parsing by the AI engine to over 90%, ensuring precise identification and efficient citation of core information.
By adopting a strategy that combines Schema.org structured data markup (such as Article, Product, FAQPage, etc. in JSON-LD format) with HTML5 semantic tags (such as < article>, < section>), we encapsulate web page content with multiple layers of semantics. We deploy a dedicated AI recognition optimization module that proactively adapts to the parsing rules of mainstream AI platforms, thereby enhancing the precise extraction and citation rate of core content to over 95%.
Establish a comprehensive monitoring and analysis system to track core indicators such as AI citation rates, platform traffic, and conversion paths in real-time, and generate multi-dimensional visual reports. The ultimate goal is not just to present data, but also to pinpoint optimization opportunities through in-depth analysis, drive continuous iteration of strategies and enhance effectiveness, and form a closed-loop management of "monitoring-analysis-optimization-validation".
Establish a mechanism for data review and service optimization on a quarterly basis. Through systematic analysis of core indicators such as content performance, user behavior, and satisfaction, dynamically adjust content strategies, update knowledge base resources, and optimize technical solutions to ensure their timeliness and accuracy. This will support decision-making quality, maintain long-term stable growth in service effectiveness, and sustain customer satisfaction at a high level of over 98%.
Since its establishment in 2013, Zhangjiakou Yuantong Network Technology Co., Ltd. has steadily developed into a company with significant influence in the field of digital technology. As a member of the Guoxin Public Chain Technology Alliance and a strategic partner, the company successfully obtained high-tech enterprise certification in 2021, marking national recognition of its technological strength and innovation capability. The company has proactively invested in the field of GEO (Generative Engine Optimization), becoming one of the earliest service providers in China to focus on this track, and has accumulated about four years of profound technical expertise. Its core business revolves around the search logic of the AI era, providing one-stop solutions including AI search ranking optimization, GEO (AI SEO) strategy formulation, and precise AI keyword deployment. With a highly customized local service model, the company has provided technical support to over 1,000 enterprise customers, covering a wide range of industries such as internet, education, finance, healthcare, and gaming. It is committed to driving its partners towards digital transformation and marketing efficiency enhancement driven by AI.
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With over 10 years of experience in digital marketing services, I have laid a solid foundation in the rapidly evolving field of AI marketing. I specialize in cutting-edge practices of GEO (Generative Engine Optimization), viewing it as a key strategy in the era of AI search. My core expertise lies in AI search ranking optimization and the integration and optimization of multimodal content such as images, videos, and text. I have successfully led GEO optimization projects for over 100+ brand enterprises. Through systematic strategy deployment, I have effectively helped brands increase their information citation rate in mainstream AI conversation scenarios by over 45%. My goal is to precisely position enterprises at emerging AI traffic entry points and quickly achieve long-term sustainable growth.
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