Join NowENDetect GEO Promotional Link Optimization EffectsQuickly assess how your promotional articles are referenced on AI platforms like DeepSeek, Doubao, Tongyi Qianwen, etc., using data to support decision-making.Step 1: Input Article Title0 / 80Step 2: Input Promotional LinkStep 3: Configure Detection Questions(Affects final score coverage)Smart Match Detection QuestionsThe system will automatically generate 5 core questions based on the article content for detectionCustom Detection QuestionsManually configure specific detection directions (requires 3 questions)Step 4: Select Detection PlatformStart AI Citation DetectionWhy Choose GEO Detection?Sent promotional materials, how do you know if they are effective? We help you evaluate how your content is cited on AI platforms.Quick AssessmentAbout 2 minutes after pasting the link, query China’s top 5 AI platforms to quickly obtain citation status.Exclusive GEO ScoringComprehensive assessment from three dimensions: ‘inclusion status’, ‘citation frequency’, and ‘question coverage’ to help you judge the AI exposure effect of promotional content.Citation TracingNot only see the score, but also see which platform mentioned your content when answering what question.Coming SoonBatch DetectionSubmit up to 100 links at once, process them uniformly in the background, and view them uniformly after completion.Effect TrackingHistorical records are automatically saved, supporting comparison at different time points to observe changes in AI exposure trends.Coming SoonReport ExportGenerate visual reports with citation details for easy reporting to clients or leaders.Complete Detection in Three StepsNo complicated configuration required, just paste the link to startStep 1: Paste LinkEnter the title of your published article, then paste the article URL. Supports single submission and intelligently extracts the core content.Step 2: Smart QueryThe system automatically queries relevant questions to various AI platforms, covering China’s top 5 mainstream AI platforms, parallel query to improve efficiency, real-time display of progress.Step 3: View ReportGet scores and citation details to understand how AI platforms cite your content, visual score display, detailed citation details, support export and sharing.SEO vs GEO: New Era Traffic Entry PointsTraditional SEO focuses on search engine rankings, while GEO focuses on whether your content is recommended by AI assistants to users.Comparison DimensionTraditional SEOGEO Generative OptimizationOptimization TargetGoogle/Baidu Search RankingsAI Platform Citations & RecommendationsKey MetricsKeyword Rankings, Click-through RatesAI Citation Rate, Answer CoverageUser BehaviorActive Search ClicksPassive AI Answer ReceptionImpact ScopeSearch Results PageAI Conversations, Smart AssistantsFuture TrendsGrowth StabilizingExponential GrowthOptimization TargetTraditional SEOGoogle/Baidu Search RankingsGEO Generative OptimizationAI Platform Citations & RecommendationsKey MetricsTraditional SEOKeyword Rankings, Click-through RatesGEO Generative OptimizationAI Citation Rate, Answer CoverageUser BehaviorTraditional SEOActive Search ClicksGEO Generative OptimizationPassive AI Answer ReceptionImpact ScopeTraditional SEOSearch Results PageGEO Generative OptimizationAI Conversations, Smart AssistantsFuture TrendsTraditional SEOGrowth StabilizingGEO Generative OptimizationExponential GrowthHear What They SayReal reviews from enterprise marketing managersZhang MingContent Marketing Director · Tech Company"After using the GEO detection tool, we found that only 30% of our articles were cited by AI platforms. Through targeted optimization, the citation rate increased to 78% within 3 months, and brand exposure in AI search tripled.“Li FangSEO Manager · E-commerce Platform"When formulating GEO strategies for clients, this tool is an essential verification method. The professional scoring report allows clients to clearly see the input-output ratio, greatly enhancing our service value.“Wang QiangMarketing Consulting Partner · Consulting Company"Previously, we only focused on Baidu rankings and completely ignored AI search as a channel. GEO detection let us see new traffic entry points, and now AI platforms bring us over 100,000 brand impressions per month.“You Might AskHow does GEO detection work?Based on the URL content you submit, we intelligently generate relevant questions, then query mainstream AI platforms (Doubao, Baidu AI, Tongyi Qianwen, DeepSeek, Tencent Yuanbao, etc.), analyze whether your links are cited in the answers, and provide a comprehensive score.How long does detection take?Single link detection is usually completed within 30 seconds to 2 minutes, depending on the response speed of each AI platform. Batch detection supports background processing, you can check progress at any time, and the system will automatically save results after completion.How to improve citation rates on AI platforms?Our reports provide detailed optimization suggestion

Join NowEN在线咨询提交需求AI Search Visibility CheckerIntelligently detect your brand’s visibility on AI platforms - Professional GEO optimization analysis toolStep 1: Select Detection PlatformsDoubaoWenxin YiyanDeepseekTongyi QianwenTencent YuanbaoStep 2: The question you ask AIRecommended Keywords0/30Step 3: Brand Keywords+Multiple hit terms please press Enter key, support up to 0/10 terms at onceStart GEO DetectionDetection PrincipleDetection PrincipleSimulate real user search scenariosAnalyze brand mentions in AI responsesCount recommendation frequency and rankingExpose competitor performance and impactDetection AdvantagesDetection AdvantagesCover 5 major AI platformsReal-time detection, accurate resultsMulti-dimensional data analysisProfessional optimization suggestionsApplication ScenariosApplication ScenariosBrand awareness monitoringCompetitor analysis comparisonGEO optimization effectiveness assessmentMarketing strategy developmentContact UsLet’s Start the New Era of AI Marketing TogetherContact us now to get exclusive GEO optimization solutions. Help your brand seize opportunities in the era of AI intelligent Q&A and achieve leapfrog business growth.Scan QR code to add human customer serviceBook a Free ConsultationNameCompany NamePhone NumberYour RequirementsSubmit BookingAbout UsXiamen Xianglian Technology Co., Ltd. was founded in 2005 and is a national high-tech enterprise with nearly 20 years of experience in the Internet service field.The company operates core platforms including Webmaster Home, Webmaster Tools, and AIBase: Webmaster Tools, as one of China’s TOP3 SEO/website operation and maintenance tool platforms, provides over 200 free tools, has served more than 5 million users, and processes tens of millions of daily queries;AIBase is positioned as China’s leading AI navigation platform, aggregating 10,000+ AI models and tools to provide one-stop AI services for developers and enterprises.Xianglian Technology is committed to providing professional, efficient technical tools and service support for Chinese Internet practitioners, helping digital transformation and development.Address：11th Floor, Building B, Feiyu Building, Huli District, Xiamen, Fujian ProvincePhone Number：18950101783Empowering the Future, Your AI Solution Knowledge BaseEnglish简体中文繁體中文にほんごCopyright © 2024-2026 厦门享联科技有限公司备案号：闽ICP备08105208号-24

Join NowEN在线咨询提交需求AI Search Engine OptimizationBrand Monitoring ServiceMonitor your brand across Google Gemini, ChatGPT, Claude & all major AI models.1Add Brand Information2Analyze Brand Keywords & Competitors3Analysis ReportMonitor by Brand DescriptionMonitor by Website AddressYour Brand NameYour Brand Description0 / 500Your Products/ServicesPlease press Enter to confirm products/services, at least 2 requiredSelect Monitoring AI PlatformSelect Monitoring Time1days7days15daysCustomizableStart AnalysisBrand Score RankingRankBrand NameScoreMeet Enterprise Data Customization NeedsCustomized ReportsAutomatically track your brand through exclusive brand reports. Track key KPIs such as brand mentions, brand coverage, or domain referencesOn-Demand SupportRely on our experienced experts to support you in building artificial intelligence search strategiesEnd-to-End SolutionsGuide optimization of enterprise/product/service pages, community sentiment, and tweet contentContact UsMost Extensive CoverageAnalyze responses from mainstream large models and AI searches at home and abroad, including: Yuanqi, MetaCat, ChatGPTComprehensive Competitive AnalysisIdentify strengths and weaknesses, find gaps to compensate for brand blind spotsGrasp Current Market HotspotsObtain real-time intelligence on all brand-related prompts, keywords, and content sourcesBrand Exclusive TrackingMonitor key metrics at all levels, from the overall brand to individual productsEmpowering the Future, Your AI Solution Knowledge BaseEnglish简体中文繁體中文にほんご© 2026AIBase

AI改变搜索引擎模式超过60%的用户开始使用AI助手查询产品和服务推荐，而不是传统搜索引擎。当用户问“最好的项目管理工具是什么？”时，你的品牌是否出现在回答中？用户提问哪个品牌的智能手表更适合运动？如果AI没有推荐你的品牌，你就失去了这个潜在客户

AI NEWSLatest AI NewsArticleTmall Officially Launches AI Space Station: Alibaba Cloud, Zhipu, Kimi, and MiniMax Jointly JoinPublished in Latest AI NewsTime :Sep 3, 2026Read :5minuteThe consumer-level popularization of domestic large model services has reached an important milestone. On September 3, Tmall officially launched a new AI space station (Token recharge center), for the first time fully integrating standardized subscription services from multiple leading large model manufacturers into the mainstream e-commerce ecosystem, allowing ordinary consumers to purchase AI products as conveniently as buying daily mobile phone data or recharging phone credit.The newly launched AI recharge center integrates core resources from leading domestic large model manufacturers such as Alibaba Cloud, Zhipu, Kimi, and MiniMax. In terms of specific product matrices, the platform not only includes flexible period-based subscription plans such as Token Plan and Coding Plan, but also provides recharge schemes that cater to different usage intensities, and fully supports two efficient and convenient delivery methods: card codes or direct recharge. The day before, Zhipu announced its official entry onto Tmall by opening an official flagship store and launching related subscription packages; on the first day of opening, the search volume for related products surged by an astonishing 40 times compared to the previous period.For ordinary users, the threshold for accessing and using large models is being lowered in an unprecedented way. Users just need to open the Taobao App, enter “token” in the search bar, and click “Buy Now” to directly reach the dedicated venue, or find the “AI Model” entry through the “More” option in the “Recharge Center” to make a purchase. This approach of bringing large model services to traditional e-commerce platforms marks that AI commercialization is accelerating from a single developer direct sales and official website subscriptions to a broader national-level consumer market.Industry analysts point out that the collective entry of large model manufacturers into mainstream e-commerce platforms goes beyond simply adding an online sales channel. E-commerce ecosystems represented by Tmall flagship stores and centralized recharge centers have successfully transformed originally complex AI services into standardized, self-purchasable, and auto-renewable mature products. This model not only makes the purchasing process extremely intuitive, but also provides mainstream mass consumers with an opportunity to access all-in-one AI tools in one place.In addition to virtual model services and token recharge businesses, Tmall’s layout in the field of physical AI smart hardware is also continuously accelerating. Currently, the platform has been rapidly launching new computer models pre-installed with Agent intelligences, smart learning machines equipped with the Qwen large model, smart speakers, and AI glasses among several cutting-edge categories. By deeply integrating online large model token services with offline smart hardware, Tmall is committed to creating a comprehensive one-stop AI consumer experience covering both software and hardware.

AI NEWSLatest AI NewsArticleMicrosoft Releases Project Opal: Target AI Works for Hours to Deliver the Final ProductPublished in Latest AI NewsTime :Sep 8, 2026Read :4minuteSatya Nadella, CEO of Microsoft, posted a tweet on the X platform on September 7, announcing a new AI feature called Project Opal for Microsoft 365 Copilot. The feature is designed to allow users to plan and execute complex, long-term tasks in a controlled and secure environment using AI agents.Microsoft states that the core of Project Opal is to let AI gradually move from handling quick issues to taking on delegated work and long-running automated tasks within a controllable and traceable environment. After receiving a task, it can work continuously for hours or even days, automatically completing the entire process of “finding materials, creating tables, generating PPTs, and sending them to colleagues.“A Case Study: Analyzing One Month of Outdoor Camera Footage and Delivering the Full ResultsIn the case demonstrated by Nadella, the feature can analyze one month of outdoor camera footage: the AI will browse the materials, identify all scenes where animals appear, and extract the best clips to create a highlight video. At the same time, it will add information such as the camera source, date of capture, and species tags for each animal. Then, it will compile all records into an electronic spreadsheet for easy user retrieval and statistics. After the data is organized, Copilot will generate a PowerPoint overview of the results and share the video, table, and presentation with Teams for team members to view and review.Regarding usage, users can enter the Frontier module in the desktop or web version of Microsoft 365 Copilot, input the task requirements, and click “Start.” The system will then generate an execution plan, launch a dedicated Windows 365 Cloud PC, and use a reasoning model to control the browser to perform the required actions. Project Opal uses an advanced reasoning model to convert natural language requests into dynamic plans and adjusts the order of tool calls based on task progress.Early Applications: Saving Up to 20 Hours Weekly for Compliance AuditsMicrosoft’s early applications include quarterly compliance audits, group member requests, timesheets and leave applications, and onboarding new employees. For example, in the audit scenario, Project Opal can access approved websites, collect and organize screenshots, and verify documents. Microsoft states that its engineers have saved up to 20 hours weekly in this scenario.

AI NEWSLatest AI NewsArticleCao Cao Mobility Launches AI Ride-Hailing Service in Collaboration with Doubao, First Launched in Beijing, Hangzhou, and SuzhouPublished in Latest AI NewsTime :Sep 9, 2026Read :1minuteAI ride-hailing service jointly launched by Cao Cao Mobility and Doubao is now available in Beijing, Hangzhou, and Suzhou. When users consult about routes, locations, dining, entertainment, and other local lifestyle information within Doubao, the system can generate travel plans based on the conversation content and directly connect to Cao Cao Mobility’s ride-hailing service.Cao Cao Mobility stated that in the future, both parties will further expand AI travel functions such as smart vehicle control, replicate relevant services to more cities, and continue to explore Robotaxi capabilities.

AI NEWSLatest AI NewsArticleJD.com Launches Physical AI Acceleration Plan: To Build the World’s Largest Physical World Operation CenterPublished in Latest AI NewsTime :Sep 9, 2026Read :5minuteAt the JD.com Global Tech Explorer Conference (JDD Conference), Cao Peng, Chairman of the JD Technology Committee and President of JD Cloud, stated that physical AI is moving towards large-scale implementation, with the focus of competition shifting to computing power, data, and scenarios, transitioning from single-point competition in models and entities to systemic competition.He emphasized that JD’s approach to AI is not just “in papers,” but in production lines, warehouses, delivery stations, and throughout the entire supply chain process, developed through one order at a time. Focusing on the construction of a super supply chain, JD has officially launched the “JD Physical AI Acceleration Program,” continuously investing in six key areas: data, machines, manufacturing, sales, logistics, and service for embodied robots.Six Goals: From Ten Million Hours of Data to 300,000 RobotsIn terms of data, JD aims to build the “largest embodied data training center in the world,” planning to collect more than ten million hours of real-world human scenario data within two years, and integrate network data, simulation data, and real robot data to build an integrated embodied intelligence technology model that supports “understanding—generation—action.“Regarding base construction, the goal is to establish the “largest robot manufacturing base in the world,” planning to set up 80 bases nationwide over the next five years, creating a full-life cycle service platform covering display, delivery, maintenance, servicing, R&D, design, assembly, data collection, production, and iteration. In terms of manufacturing, the goal is to become the “largest supplier of core robot components in the world,” investing in core components and building its own factories over the next three years, helping 100 original equipment manufacturers reduce costs across all product categories and driving 100 component suppliers to double their performance.In terms of sales, by 2028, JD plans to invest over 10 billion yuan to help 100 brands achieve independent sales exceeding 1 billion yuan, driving robots into millions of terminal scenarios. In the logistics field, JD has already implemented joint development clusters covering the entire supply chain, including warehousing, sorting, transportation, and delivery. Over the next five years, JD plans to purchase more than 300,000 robots, 100,000 unmanned vehicles, and 100,000 drones. In terms of service, over the next five years, JD will establish a after-sales and service network covering more than 100 countries, creating over 100,000 positions for robot after-sales service engineers.Cao Peng said that as these goals gradually take shape, JD will drive AI from thousands of industries to households around the world, building the largest physical world collaboration system globally, ultimately becoming a leading global physical world operation center.

AI NEWSLatest AI NewsArticleSamsung and Mistral Collaborate to Empower Chip Design and ManufacturingPublished in Latest AI NewsTime :Sep 9, 2026Read :4minuteDuring the recent South Korea-France presidential summit, global tech giant Samsung Electronics officially announced a major partnership with French renowned AI startup Mistral AI. According to the plan, Samsung will deeply integrate Mistral AI’s cutting-edge services and solutions into its semiconductor business, comprehensively empowering the chip design and manufacturing process.As an emerging European AI star founded in 2023 by former core employees of Google DeepMind and Meta, Mistral AI has high-performance large language models, including Mistral Large. In this collaboration, Samsung plans to leverage these advanced AI technologies to develop customized AI models, thereby significantly enhancing the overall level of semiconductor design and manufacturing.By introducing AI-driven intelligent solutions, Samsung aims to achieve several core strategic goals: first, to accelerate the overall chip development cycle, enabling new products to be launched more efficiently; second, to significantly improve the manufacturing accuracy of advanced storage chips; and finally, to effectively stabilize the yield during the chip production process.Notably, before partnering with Mistral AI, Samsung had already been actively expanding its AI strategy in the semiconductor field. Media outlets such as Wall Street Chinese and Cailian News recently reported that OpenAI also revealed ongoing deepening cooperation with Samsung Electronics to jointly develop next-generation chips, even holding high-level discussions with Samsung Chairman Lee Jae-yong in July this year. At the same time, Samsung’s ecosystem has been expanding in multiple directions: in March, Samsung collaborated with Arm to develop the next-generation edge-side AI chips and considered OpenAI as a potential client; in late August, Samsung Electronics partnered with SK Hynix and Qualcomm to advance the commercialization of HBC chips; in June, it established a special task force for energy business; in March, it explored chip manufacturing cooperation opportunities with AMD; and Co-CEO Roh Tae-moon clearly expressed willingness to reach strategic partnerships with major companies including OpenAI.This series of intensive strategic adjustments and strong collaborations mark that Samsung is accelerating the construction of an AI-driven semiconductor infrastructure by introducing cutting-edge artificial intelligence technologies, comprehensively strengthening its core competitiveness in the global chip industry chain.

Join NowENLatest AI NewsImpact on the Sci-Tech Innovation Board! DeepSeek Has Hired CITIC Securities to Prepare for an IPO This Year, with a Valuation Targeting 500 Billion YuanDeepSeek has hired CITIC Securities to prepare for an IPO on the Sci-Tech Innovation Board. The company plans to submit its IPO application this year and list next year. The fundraising will be mainly used to expand computing power infrastructure, increase investment in cutting-edge large models and chip R&D, and strengthen core R&D talent incentives.just now3.4KChina Unicom Collaborates with Meizu to Release ‘Xiaomo Fang’ AI Phone: 4-inch Square Screen Weighs Only 99 Grams, Focused on Full Voice InteractionChina Unicom collaborates with Meizu to release the ‘Xiaomo Fang’ AI native terminal, equipped with Yunzhi OS, featuring a 4-inch small square screen and weighing 99 grams. It focuses on full voice control, AI services, smart calls, and end-cloud collaboration. It can order coffee, control smart home devices; using the local camera and large model, it realizes ‘AI See the World’ to recognize the real world. Call features include translation and note-taking.just now6.4KSamsung and Mistral Collaborate to Empower Chip Design and ManufacturingDuring the South Korea-France Presidential Summit, Samsung Electronics announced a collaboration with French AI startup Mistral AI, integrating its cutting-edge services and solutions into its semiconductor business to empower chip design and manufacturing. Mistral AI was founded in 2023 by former core employees of Google’s DeepMind and Meta, and has high-performance large language models such as Mistral Large.just now3.9KJD.com Launches Physical AI Acceleration Plan: To Build the World’s Largest Physical World Operation CenterAt the JD.com JDD conference, Cao Peng stated that physical AI is moving towards large-scale implementation, and the competition focus has shifted from models and individual entities to systematic competition in computing power, data, and scenarios. JD.com’s AI is not only in papers but also refined in the entire supply chain process including production, warehousing, and delivery. It has officially started building around the super supply chain.just now6.4KCao Cao Mobility Launches AI Ride-Hailing Service in Collaboration with Doubao, First Launched in Beijing, Hangzhou, and SuzhouCao Cao Mobility and Doubao have jointly launched an AI ride-hailing service, which is now available in Beijing, Hangzhou, and Suzhou. When users consult about routes, locations, dining, entertainment, and other local lifestyle information within Doubao, the system can generate travel plans based on the conversation content and directly connect to Cao Cao Mobility’s ride-hailing service. Cao Cao Mobility stated that in the future, both parties will expand AI travel functions such as smart vehicle control, replicate them to more cities, and explore Robotaxi capabilities.just now6.4KAntGroup Open Sources Ling-3.0-flash-VL: The 124B-Parameter Native Multimodal Large Model Makes Its DebutThe AntGroup Open Source team released the first native multimodal large model of the BaiLing series, Ling-3.0-flash-VL. It is based on the MoE architecture of Ling-3.0-flash, with a total parameter count of 124B and an activated parameter count of 5.5B. It natively supports image, text, and video input, with a context window of 256K tokens. The team focused on improving reliability and efficiency in real tasks, and made efforts to address the issue where visual capabilities might weaken text intelligence.just now5.7KJudgment for 3 million yuan in compensation for using physical plugins to grab orders: The Supreme People’s Court released 9 typical cases of anti-unfair competition, with AI and live streaming e-commerce as key focusesThe Supreme People’s Court released 9 typical cases of anti-unfair competition in 2026. In case five, an electronic company sold a “clicker” physical plugin that disrupted the fair competitive order of the food delivery platform, achieving sales of several million yuan and was ordered to compensate 3 million yuan. This case has exemplary significance in regulating unfair competition in the platform economy domain and maintaining healthy development.just now7.5KZhiyuan Robotics Enters the Multimodal Tactile Perception Field, Invests in Leading R&D Company Mogan TechnologyZhiyuan Robotics invested in Mogan (Shanghai) Technology through its affiliated company, positioning itself in the embodied intelligence industry chain. After the business change, the registered capital increased to 1.1774 million yuan, and the company was established in May 2026. Its business scope includes network and information security software development, with core operations focused on electromagnetic metamaterials.just now8.6KQwen APP Education Discount Launches, Work Assistant Features Membership for 9.9 Yuan/MonthOn Sep 9, Qianwen APP launched membership discounts for students and teachers. Verified users get 6 m