The first third-party GEO monitoring platform "Feishao" launched in China to assist in the standardized development of the industry.

On June 18th, Zero Intelligence Technology Co., Ltd., a leading enterprise AI intelligence platform in China, officially launched its independent third-party GEO (Generative Engine Optimization) brand visibility diagnostic platform - Feisentry. As the industry's first neutral monitoring tool focusing on quantifying GEO performance evaluation, Feisentry aims to address the pain points of inconsistent industry service standards, difficult-to-verify effectiveness, and frequent data falsification, providing enterprises with objective, transparent brand AI ecosystem performance diagnostic services. It is reported that the platform will be open for free trial to all industry enterprises on the day of its launch. With the rapid expansion of the industry and the chaos that comes with it, the standardization of GEO is becoming urgent. As generative AI becomes more popular, large models are gradually replacing traditional search engines as the core entry point for users to obtain information and make consumer and business decisions. Data shows that the daily call volume of mainstream large models in China has reached a scale of trillions. GEO, as the brand mental optimization method of the AI era, has also become a new competitive track that enterprises must strive for. However, along with the industry's rapid expansion, the development of non-standard practices has gradually become apparent: some service providers use low prices as a gimmick, employ low-quality content, mass production, and even false sources to achieve short-term effects. This not only fails to create long-term value for the brand but may also leave erroneous, negative brand imprints in the large models, contaminating the brand assets accumulated by enterprises for many years. At the same time, the industry has long lacked unified evaluation standards, service providers deliver varying quality, making it difficult for enterprises to verify real results. Many brands either suffer losses from falling into pitfalls or take a wait-and-see attitude towards GEO, missing out on the brand growth dividends of the AI era. It is in this industry background that the Artificial Intelligence Industry Alliance of China (AIIA) has launched the formulation of technical standards related to GEO and is pushing the industry to transition from rampant growth to standardized development. Recently, Zero Intelligence officially became a member of AIIA after rigorous evaluation and was invited to participate in the discussion on the formulation of the technical standards for "Generative Engine Optimization (GEO) Service Capability Assessment." Zero Intelligence AI expert Lu Yong proposed at the workshop that the construction of GEO standards should focus on three dimensions: data authenticity, content compliance, and quantifiable effects, to establish a unified evaluation scale for the industry. The launch of the Feisentry platform is an important practice of Zero Intelligence in translating standard concepts into product tools. Neutral position + comprehensive capabilities - Feisentry creates a "fair ruler" for GEO effectiveness Feisentry positions itself as an independent third-party GEO monitoring platform, not providing GEO optimization services itself but focusing on objective, accurate performance evaluation. The platform builds a comprehensive evaluation system around four core dimensions: AI visibility, narrative quality, model recommendations, and industry competitive landscape, with five core capabilities: 1) basic diagnostic ability - enterprises that have not deployed GEO can input their brand name and receive a complete diagnostic report within 15 minutes to help establish the brand's visibility baseline in the AI ecosystem; 2) effectiveness verification ability - can quantitatively verify the effects of GEO services already purchased by enterprises, with full data support for traceability and compliance audits, solving the pain point of enterprises "spending money without knowing if it has an effect"; 3) industry landscape insight - provides an overall AI recommendation panorama of the industry to help enterprises intuitively understand the AI performance of leading brands in the race and the overall competitive situation; 4) competitive analysis of peer products - can benchmark key indicators such as AI voice share, first mention rate, sentiment tendency, and recommendation priority against competitive products to help enterprises clarify their competitive position in the industry; 5) comprehensive collaborative capabilities - provides dual-brand management systems of "full-network public opinion risk monitoring + GEO brand visibility diagnosis" by integrating data with Zero Intelligence's Chitong opinion monitoring platform, helping enterprises achieve risk early warning, quantifiable reputation, and trackable performance in the AI ecosystem. To ensure the reliability of the data, Feisentry adheres to three core standards in product design: 1) simulating real human inquiries through real user accounts to maximize the restoration of the brand presentation status from the perspective of ordinary users and avoid data distortion caused by sampling; 2) preserving the original records, source links, and sentiment analysis details of each set of queries, making all data traceable and cross-verifiable; 3) fully opening the original monitoring data and analysis reports to enterprise users, achieving complete transparency in the evaluation process. The platform currently covers Deepseek, Douabo, Kimi, Yuanbao, Baidu AI, and other mainstream large models. Technological strength transitions from application users to industry co-builders The launch of Feisentry is a result of Zero Intelligence's long-term technical accumulation and industrial practice in the enterprise AI field. As one of the first domestic companies to enter the enterprise intelligence field, Zero Intelligence has always been committed to "using AI well to promote long-term harmonious coexistence between humans and AI." Leveraging its independently developed BlackZero hybrid intelligent cluster technology platform, Zero Intelligence has delved deep into high-value and high-complexity industrial scenarios such as law, brand, and investment, creating benchmark products such as contract assistants, brand assistants, and investment assistants, and pioneering the AaaS (Intelligence as a Service) model. With its sustainable profitability, Zero Intelligence has become a benchmark enterprise in the field of AI applications. With outstanding technological strength and industrial value, Zero Intelligence has recently received multiple industry recognition: being selected as a typical case of high-growth enterprises in the Greater Bay Area in 2025, one of the top 100 MaaS manufacturers in China in 2026, winning the "Industry-leading Brand of the Year" award from the Spery awards, and the 2026 Annual Artificial Intelligence Technology Innovation Award, among other honors. Zero Intelligence has also established the Artificial Intelligence Engineering Research Center in collaboration with the Shenzhen Research Institute of Henan University, deepening industry-academic-research innovation. Joining AIIA and launching the Feisentry platform signifies Zero Intelligence's transition from a technical application user to an industry standard co-builder and ecosystem governance participant. Industry insiders believe that the launch of the Feisentry platform fills the market gap for third-party GEO monitoring in China, providing enterprises with a fair measure of GEO effectiveness. It will also drive GEO service providers to improve service quality and push the industry towards standardized development. In the future, with the gradual implementation of industry standards and the introduction of more compliance tools, the GEO industry will usher in a healthier development environment, truly helping enterprises seize the brand growth opportunities of the AI era.