EN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

EN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 NewsArticleWang Xingxing from Unitree: Continuously Focus on Embodied Intelligence Technology and Explore New Products such as Humanoid RobotsPublished in Latest AI NewsTime :Aug 7, 2026Read :3minuteOn August 7, Wang Xingxing, founder and CEO of Unitree Technology, stated in an online roadshow that listing on the capital market is a new starting point. The company will continue to focus on the core technology R&D and industrial applications of general-purpose embodied intelligent robots, promoting the earlier entry of intelligent robots into social service scenarios.Wang Xingxing said that Unitree Technology will continue to advance key technology R&D, including embodied large models, scenario data collection and analysis, reinforcement learning, embodied body models, self-developed core components, and high-performance actuators, accelerating the synergy between software and hardware innovation.In terms of product layout, Unitree Technology will explore more product forms and models, such as humanoid robots, quadruped robots, and mechs, to expand the application boundaries of embodied intelligent robots. The company hopes that robots can take over high-intensity and high-risk physical labor, improve production efficiency, and release human creativity.As the embodied intelligence industry enters a stage of large-scale exploration, robot bodies, algorithm models, data systems, and core components have become key areas of competition. By clearly defining its technical roadmap and product expansion direction, Unitree Technology reflects the development trend of domestic robot companies moving from single product R&D to full-stack intelligent robot ecosystem construction.

AI NEWSLatest AI NewsArticleOpenAI’s First AI Hardware Revealed: Doughnut Shape, Ice Cube Size, Price $300–400, Expected to Launch in 2027Published in Latest AI NewsTime :Aug 7, 2026Read :3minuteMark Gurman released today’s Power On newsletter, revealing more details about OpenAI’s first self-developed AI hardware. The product is about the size of a hockey puck (diameter approximately 7.62 cm, volume about 115.8 cubic cm), with a “donut” shape, and is estimated to be priced between $300 and $400 (approximately 2,029 to 2,705 Chinese yuan). It is expected to be released in 2027.This device is essentially a “smart speaker without a screen,” designed for home use, allowing users to carry it around the house with one hand. The product was developed in collaboration between OpenAI and Jony Ive, former Apple designer.In terms of hardware, Gurman revealed that the device features moving parts, some of which can move automatically to indicate that the device is responding or interacting with the user. In addition, it will also include lighting, a camera system, and other sensors.In terms of interaction, the device operates similarly to the voice mode of ChatGPT on mobile devices, but will use a more advanced model to support interactions closer to human conversation. This means that OpenAI is extending its experience in conversational AI from the software layer to a hardware platform.This is OpenAI’s first self-developed AI hardware. Previously, the company had launched an AI programming keyboard in collaboration, but this is a truly self-developed hardware product. Gurman’s revelations outline a picture of an AI device positioned as a family companion, emphasizing natural voice interaction, and featuring a compact and portable form factor. In an increasingly crowded AI hardware market, OpenAI’s decision to collaborate with Jony Ive clearly aims to establish a differentiated barrier in industrial design and user experience.

AI NEWSLatest AI NewsArticleVolcano Engine Launches Seedance 2.5 API, Video Generation Capabilities Fully UpgradedPublished in Latest AI NewsTime :Aug 7, 2026Read :3minuteVolcano Engine has officially launched the Seedance 2.5 API service today. The new version has been upgraded in terms of instruction following, long narratives, realism, and audio-visual quality compared to Seedance 2.0, further enhancing AI video generation capabilities.Seedance 2.5 supports direct output of 30-second videos natively, with a maximum of 50 multimodal material references, and offers more accurate and stable video editing capabilities. It also supports more than a dozen languages. The model has been further optimized in key video elements such as image quality, audio quality, lighting, camera movement, and overall aesthetics, making AI-generated content closer to cinematic long narrative effects.Volcano Engine stated that enterprise practices show that the realism and visual quality of video generation are important foundations for expanding commercial applications. The upgrade of Seedance 2.5 will provide more possibilities for scenarios such as creative advertising and industrial simulation.Currently, Seedance 2.5 has been synchronized and launched on platforms such as LibTV, Qixiang AI, TapNow, Panqu AI, DreamWeaver Workshop AI, and Xingyu Film Scene, offering enterprises and creators more AI video production tools.In addition, Seedance 2.0 mini and Seedance 2.0 fast are now available with limited-time discounts. From August 7th to September 7th, Seedance 2.0 mini will be billed at 40% of the standard rate, with a minimum cost of approximately 0.2 yuan per second for 720P; Seedance 2.0 fast will be billed at 75% of the standard rate, with a minimum cost of approximately 0.6 yuan per second for 720P. This upgrade and pricing strategy further lowers the barrier to AI video creation, accelerating the application of generative video technology in commercial fields.

AI NEWSLatest AI NewsArticleByteDance Aims for 5 Trillion Parameters: Dou Bao’s Intelligence is Expected to Reach Its Peak, at the Cost of Million-Level GPU Computing PowerPublished in Latest AI NewsTime :Aug 7, 2026Read :4minuteParametric scale of domestic large models is continuing to rise beyond 10 trillion. Qwen3.8 Max and Kimi K3 have already reached 2.4 trillion and 2.8 trillion parameters, respectively, and the next step could be 5 trillion. This time, ByteDance may take the lead. LatePost reported that ByteDance is discussing the training of a large model with more than 5 trillion parameters, which would become the largest known model in China. However, the plan is still in its early stages, and it may not ultimately be released.What is the scale of 5 trillion parameters? It is considered to be at the level of GPT-5.6 or Opus 5. Generally, the larger the number of parameters, the stronger the performance of a large model. OpenAI and Anthropic have maintained their leading positions by having higher parameter counts—reports suggest that both companies are training or have completed preparations for 10 trillion parameter large models. However, extremely high parameter counts also mean extremely high computing power investments. Based on H100, training a 5 trillion parameter model would require 100,000 H100s running for 347 days, or one million graphics cards running for 35 days. A million graphics cards have entered the GW-level computing power scale, with extremely high barriers. ByteDance will not be able to invest such a huge amount of computing power all at once. A more reasonable approach would be to train with 200,000 to 300,000 graphics cards for 3 to 4 months, then add preparation and post-training phases, which would take at least half a year, or even a year, before it could be completed.In terms of computing power reserves, OpenAI currently has the most abundant resources. SemiAnalysis estimates that it has about 2 million graphics cards; Anthropic has about 620,000; DeepSeek only has around 60,000, many of which are relatively outdated H20 and H800. With its financial strength, ByteDance can easily feed a 5 trillion parameter large model. With it, Dou Bao’s capabilities could reach the level of GPT-5.6 or Opus 5 without doubt, truly maximizing its intelligence, no longer needing to be mocked by netizens. The only remaining uncertainty is commercial returns—can this astronomical investment bring equivalent returns in practical applications?

AI NEWSLatest AI NewsArticleDeepSeek V4 Pro Wins Second Place in Programming Evaluation: Score Only Slightly Lower than Kimi K3, but Cost is Only One Fourteenth of the OpponentPublished in Latest AI NewsTime :Aug 14, 2026Read :4minuteCLUE team’s latest released SuperCLUE-Terminal Chinese AI terminal programming evaluation list shows that DeepSeek-V4-Pro-0813 scored 51.52, ranking second among all tested models, only behind the top-ranked Kimi K3. More notably, it maintains an extremely low call cost while achieving this score, making its cost-effectiveness particularly prominent among high-scoring models. This list is specifically designed for domestic developers, using all local real programming tasks and a unified running framework of Claude Code, fairly comparing major models’ complete abilities in understanding Chinese requirements, planning tasks, calling tools, and debugging code.The realism of the evaluation comes from its task settings: each question requires the model to complete 50 to 110 rounds of interaction, with a full run time of half an hour to one and a half hours, which highly replicates complex workflows in daily development. In this round of the list, Kimi K3 ranked first with 60.61 points, followed closely by DeepSeek-V4-Pro-0813, scoring higher than GLM-5.2’s 48.48 and the old version of DeepSeek-V4-Flash’s 46.46, firmly placing it in the top tier.1.42 yuan per question cost, competing with top-tier computing powerThe most impressive is DeepSeek-V4-Pro-0813’s cost control: the call cost per question is only about 1.42 yuan, roughly one fourteenth of Kimi K3’s and one sixteenth of GLM-5.2’s. At a time when the scores of top models often differ by just a few points, this order-of-magnitude cost gap means that small and medium-sized teams can afford “nearly top-tier” coding capabilities without paying exorbitant computing costs for every interaction.From actual testing scenarios, the model covers real demands such as front-end pages, 3D games, and engineering script modifications, able to fully close the game development logic, with collision, scoring, and settlement functions operating normally. The page color and interaction feedback also have moved away from the template-like AI style. There may be minor structural issues in some creative drawing questions, but the overall completion is still leading. For budget-sensitive small and medium enterprises and independent developers, DeepSeek-V4-Pro-0813 redefines the cost-effectiveness benchmark of programming models with a “second-place score and one-fourteenth price”—when top-tier capabilities no longer mean top-tier expenses, the entry barrier for AI programming is truly being lowered.

AI NEWSLatest AI NewsArticleApple Discusses Multiple Payment Licensing Options, Plans to Invest Hundreds of Millions of Dollars to Introduce News Sources and Upgrade Siri AIPublished in Latest AI NewsTime :Aug 14, 2026Read :3minuteAccording to the Wall Street Journal, Apple is in talks with multiple publishers for long-term content licensing agreements, aiming to use up-to-date news and information from authoritative media to provide real-time information support for its upcoming Siri AI, which will be launched later this year. This move marks Apple’s effort to accelerate the enhancement of its voice assistant AI’s intelligence while trying to establish a new AI content ecosystem and business cooperation system.Unlike the industry’s common “fixed licensing fee” buyout model, Apple has proposed a dynamic compensation plan based on the actual usage of the content. According to reports, Apple has planned a dedicated budget of hundreds of millions of dollars for this. This on-demand payment mechanism aligns closely with the commercial revenue-sharing logic of the Apple News+ platform, significantly reducing the “hallucination” risk caused by large models directly generating or summarizing content, while ensuring users receive accurate and authentic real-time information.In recent years, the relationship between tech giants and copyright holders has been reshaped, and AI companies have generally faced copyright lawsuits and data compliance challenges. Apple’s initiative to introduce compliant data through a variable compensation model not only reflects its strategic intent to rapidly address its shortcomings in the generative AI competition, but also explores a sustainable and compliant model for content copyright distribution in the era of large models.

AI NEWSLatest AI NewsArticleGoogle Launches Ask YouTube: Users Over 13 in the US Can Now Use AI Chat SearchPublished in Latest AI NewsTime :Aug 14, 2026Read :3minuteGoogle has officially rolled out its conversational search tool “Ask YouTube” to all users in the United States who are 13 years old and above, covering mobile devices, desktop browsers, and smart TVs. Previously, this feature was only available to YouTube Premium members. YouTube first launched a limited test of the feature on mobile devices in April this year, and then expanded it to desktops.“Ask YouTube” adds a “Ask” button in the search bar, allowing users to enter a chat-like interface where they can ask complex questions in full, natural language. Unlike traditional keyword searches that only return a list of videos, this tool generates structured, conversational answers based on YouTube’s video database and includes relevant video clips. Users can also ask follow-up questions based on the context without having to re-enter the original question.For example, if a user asks, “Plan a three-day road trip from San Francisco to Santa Barbara,” the system can generate a text itinerary and recommend related videos, and further answer questions about dining and photo spots along the way. Currently, “Ask YouTube” is only available in English in the United States. Google said it is working on expanding to international markets and adding more language support.This expansion further advances YouTube’s evolution from a video search platform to an AI-driven information discovery and research tool.