4小时前DeepSeek新定价生效自北京时间2026年8月17日0时起，DeepSeek将正式执行新的API峰谷定价方案，高峰时段百万tokens输出最高价格涨至27元，标志着其V4系列模型进入全新的收费阶段。 空闲时段价格为高峰时段的一半，多家分析认为本次最高涨幅约达数百个百分点，体现国产大模型从“价格屠夫”式补贴竞争转向更市场化、强调算力效率的商业逻辑。12 来源新定价正式生效：时间与适用范围6 来源具体价格表：V4-Flash与V4-Pro怎么涨5 来源从“价格屠夫”到峰谷定价：调整背后的逻辑6 来源产业链与开发者的应对8 来源本内容由AI生成

59分钟前阿里发布Qwen3.8-27B，并开放旗舰模型权重2026年8月14日前后，阿里巴巴旗下通义千问团队宣布正式开源270亿参数原生多模态模型Qwen3.8-27B，并在此前开放2.4万亿参数旗舰模型Qwen3.8-Max（Qwen3.8-2.4T-A95B）权重下载，被视为国产大模型首次在Max级旗舰与消费级本地部署两端同时将权重交到社区手中。 27B版本采用Apache-2.0许可，可在约17GB显存的消费级显卡上本地运行；旗舰权重则以open-weight形式开放，为开发者与企业提供从前沿研究到工程落地的完整模型选型空间，被广泛认为将显著提升中国大模型生态的开放度与活跃度。1 来源一、发布事件与时间线1 来源二、Qwen3.8-27B：面向本地部署的原生多模态模型1 来源三、Qwen3.8-Max旗舰权重首次开放1 来源四、开源策略对生态与产业格局的影响1 来源本内容由AI生成

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ENDetect 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 suggestions, inclu

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 NewsArticleGemini 3.5 Pro Has Not Been Released Yet, Google May Skip the Wait and Turn to Gemini 4Published in Latest AI NewsTime :Aug 11, 2026Read :4minuteOn August 11, according to the latest report by industry analysis firm SemiAnalysis, Google may have put on hold its originally planned Gemini 3.5 Pro model and might be filling the market gap caused by the delay of its flagship model by promoting the Gemini 4 series in advance. Previously, Google had drawn attention due to the delayed release of Gemini 3.5 Pro, with reports indicating that the model still needs optimization in some key capabilities, especially in code-related performance.At the Google I/O developer conference in May 2026, Alphabet CEO Sundar Pichai stated that Gemini 3.5 Pro was expected to be launched in June, but the model has not officially been released yet. Subsequently, during Alphabet’s second-quarter earnings call, Pichai continued to emphasize Google’s progress in cutting-edge AI and expressed confidence in the development of the Gemini series models.SemiAnalysis pointed out that the current Gemini series is facing competitive pressure in some AI capability evaluations and believes its development speed lags behind some leading models. It was previously reported that Gemini 3.5 Pro briefly appeared on the Arena platform and was removed about 30 minutes after going online, sparking discussions about the model’s testing status.According to reports, Google’s delay in releasing Gemini 3.5 Pro was mainly related to model performance optimization, including enterprise-level application scenarios such as code generation. Google has stated that the model is still in the testing phase and is being evaluated with partners.If SemiAnalysis’s assessment proves correct, Google may be adjusting the Gemini product timeline, allocating more resources to the next-generation Gemini 4 series to cope with the accelerating model iteration from OpenAI, Anthropic, and other AI laboratories. Currently, competition among large models has shifted from simply launching new versions to a comprehensive contest involving capabilities, costs, application ecosystems, and R&D efficiency.

AI NEWSLatest AI NewsArticleClaude Fails to Solve a Century-Old Math Puzzle but Accidentally Rewrites the Fundamental Boundaries of Human Mathematical History!Published in Latest AI NewsTime :Aug 11, 2026Read :3minuteRecently, the field of artificial intelligence has witnessed a remarkable new breakthrough. Claude, an unreleased research version developed by Anthropic, attempted to challenge one of the highest peaks in the mathematical world, the Riemann Hypothesis. Although it did not fully solve this century-old problem, it unexpectedly increased the lower bound of the proportion of zeros on the critical line of the Riemann zeta function from 41.6%, which had been maintained for decades, to 67.2% during the exploration process.This achievement quickly sparked heated discussions in the academic community. It should be clarified that this does not mean the Riemann Hypothesis has been proven to 67.2%. The study does not provide definitive guidance for the hypothesis itself. However, its real significance lies in the new form of scientific research demonstrated by AI. During this multi-round effort, Claude did not rely on traditional search for known answers, but instead orchestrated approximately 60 sub-Agents to form a “virtual research team,” experiencing hundreds of failures, independently reviewing massive literature, and recombining classical methods. Ultimately, it explored innovative boundaries that had never been established before in the open and unknown field of mathematics.Industry experts point out that this breakthrough not only showcases the hard-core capabilities of artificial intelligence in complex, long-range, multi-agent collaboration, and autonomous error verification, but also signals a potential revolution in future research workflows. AI may no longer be limited to solving known problems, but instead, by undertaking intensive trial-and-error processes and cross-referencing vast amounts of literature, it will significantly reduce the marginal search costs for humans in unknown fields, ushering in a new era of scientific exploration.

AI NEWSLatest AI NewsArticleReport: GPT-6 Exposed with 10 Trillion Parameters, Forced Release in August; OpenAI May Have a Bigger Weapon by Year-End, DougPublished in Latest AI NewsTime :Aug 10, 2026Read :6minuteAI insider reporter ChrisGPT revealed that despite government censorship, GPT-6 (previously temporarily paused Astra model) will be released in August. It is estimated that GPT-4 has about 1.8 trillion parameters, and if Astra reaches 10 trillion parameters, it would be more than five times larger than GPT-4. OpenAI has made an unprecedented scale in pre-training. Just nine months ago, OpenAI realized that Anthropic was leading in pre-training and urgently reallocated computing resources. Now the time has finally come.However, GPT-6 in August may just be a starter. ChrisGPT also disclosed an upcoming “epic monster” called Doug, which is said to be the largest pre-trained model in OpenAI’s history, making the flagship Fable seem like a primitive product. Doug is not GPT-6. According to insiders, it is likely to use the next-generation Vera Rubin chips from NVIDIA, which have not been fully rolled out yet. Due to the need for pre-training and extensive cybersecurity testing, it is expected to be released by November at the latest. OpenAI’s strategy is clear: GPT-6 will attract users in August, and then Doug will be released at the end of the year to regain absolute leadership.The wall of pre-training has finally been broken, and the rivalry between two major players is establishedDoug is crucial because it points to a reality the industry has been reluctant to face: since the release of GPT-4o in May 2024, OpenAI has not completed full-scale pre-training for its next-generation cutting-edge model for over two years. o1, o3, GPT-5, and GPT-5.5 are essentially post-training and reinforcement learning based on the GPT-4o foundation. The “engine” of GPT has not been replaced for two years. Projects like Orion were downgraded due to unsatisfactory performance, until the release of Gemini 3 last year prompted the boss to decide to replace the engine. The verification experiment called Garlic was completed first, and Doug is the true product after scaling up. This means that OpenAI may have overcome the performance degradation and stability bottlenecks of ten thousand card clusters, proving that Scaling Laws still hold in the pre-training dimension.At the same time, the competitive landscape has changed dramatically. On August 5th, Google’s chief scientist Jeff Dean left with three core researchers to start his own business. Hassabis stepped down as CEO of DeepMind and moved to chairman. Alphabet’s stock dropped over 4% that day. The place where the Transformer was invented is now supplying top talent to competitors. The “three giants” of Silicon Valley ASI now only have OpenAI and Anthropic left.Anthropic holds Fable 5 and is preparing to release Fable 5.1 in August, keeping the price unchanged and directly targeting Astra. It seems to be using a “Tian Ji’s horse racing” strategy, saving the strength of Opus 5 and launching Fable 5.1 as an ambush. OpenAI is holding both GPT-6 and Doug. The old engine has been squeezed to the limit over the past two years. When the engine is truly upgraded, how fast this system can run will be answered by Doug at the end of the year.