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 NewsArticleGoogle AI Search Doubles in a Year: 43% of Search Results Now Have AI Overview, Traditional Web Pages Are Being Replaced by Direct AnswersPublished in Latest AI NewsTime :Jul 28, 2026Read :5minuteSimilarweb’s latest report reveals an undeniable trend: AI search is rapidly reshaping traditional search experiences. The presence of Google’s AI Overview in search results has increased from 15% a year ago to 43%, and AI-driven information retrieval is quietly becoming the default user experience.Data shows that traffic to Google’s AI mode rose from 126 million in June 2025 to 279 million in May 2026, more than doubling. At the same time, user search behavior is also undergoing a fundamental change — more people are beginning to use longer, more natural conversational queries, replacing the short keyword-based searches of the past. Searching is shifting from “helping users find web pages” to “providing answers directly to users.“References have increased fivefold, but traffic does not necessarily followThis change has profoundly affected the logic of internet traffic distribution. Traditional publishers and content websites are facing the dilemma of AI summaries “siphoning” traffic — users may get answers directly on the search results page without even clicking into the original web page.Data shows that the number of search responses containing AI references has grown more than fivefold over the past year, but references do not equal traffic. For example, in the U.S. market, only 6.8% of desktop search queries on ChatGPT as of May 2026 included reference links. However, there are significant differences across industries — travel, retail, and sports sectors are more likely to gain AI search references, and these areas benefit more significantly in terms of traffic.For content creators, it’s not all bad news. After ChatGPT’s search update on May 7, 2026, the web recommendation traffic from ChatGPT to U.S. desktop users improved significantly — by the end of May, the percentage of web visits increased from 25% to nearly 60%. This means that when AI products begin to prioritize references and traffic redirection, the content ecosystem still has room for recovery.From a navigation tool to a consumption platform, Google’s identity has changedIn general, AI search is driving a structural transformation in internet access points. Google has shifted from a traditional “web navigation tool” to an “information consumption platform,” and the search results page is no longer just a list of links, but a destination for direct information delivery.For websites and content organizations, the rules of the game have been rewritten. Optimizing content structure and AI visibility in an AI-driven information distribution model will determine the next phase of the content competition landscape. The traditional model that heavily relied on search traffic is being slowly dismantled by an invisible revolution.

AI NEWSLatest AI NewsArticleMoon Shadow Kimi Secures $3.5 Billion in Series F Funding, Valuation Rises to $35 Billion, Series G Financing Has Already Started in AdvancePublished in Latest AI NewsTime :Jul 29, 2026Read :2minuteKimi, a subsidiary of Moonshot, has completed its Series F funding round, with the amount exceeding 3.5 billion USD, and the post-money valuation has risen to 35 billion USD. Due to the subscription volume being more than three times the original target, this funding round was closed ahead of schedule, with the enthusiasm of the funds closing earlier than planned.The pace is even tighter ahead. The Series G (pre-IPO) round, originally scheduled to start in August, has already begun early, with the pre-money valuation raised to 50 billion USD. From the conclusion of the Series F round to the start of the Series G round, there was almost no pause — the capital’s pursuit of the company is accelerating by the month. When one round of financing closes early due to oversubscription and the next round quickly follows, Kimi’s value in the primary market is climbing along a steep curve.

AI NEWSLatest AI NewsArticleWorkBuddy Major Update: ‘Human-Machine Dual Writing’ Launches, the Office of the AI Era Has Arrived!Published in Latest AI NewsTime :Jul 30, 2026Read :9minuteOn July 30, Tencent WorkBuddy released a major version update (V5.3.5): in collaboration with Tencent Docs, it officially launched the “human-AI dual-writing” collaborative editing capability for the Agent era. The new version allows users to directly collaborate with AI within the same file when opening Word, Excel, PPT, Markdown, and other document formats, addressing pain points such as multi-role collaboration in “human-AI hybrid writing” teams.From the traditional “human-file interaction” of conventional Office, to “human-human collaboration” in online documents, to “human-AI task completion” in the AI era, the launch of this feature in WorkBuddy has made AI the first time an “add-on” in office collaboration become a collaborator within the same document. It also achieved, for the first time in the industry, “human-human, human-AI, AI-AI” multi-end synchronized collaboration, driving Office into an AI-native collaboration era.AI Enters Documents: From “Help You Write” to “Write with You"Previously, users needed to switch between chat windows and Office software when using AI for work. To get AI to generate content, they had to copy and paste it into the document; to ask AI to modify existing materials, they had to re-describe the background and revise the entire text; when working in teams, it was difficult to collaborate in real-time around the same document with the same AI partner. Although AI could generate content, it was hard to truly integrate into the user’s ongoing workflow.With this upgrade, WorkBuddy now directly integrates AI capabilities into the document editing environment. After opening a Tencent Docs or local Office file in WorkBuddy, users can select text, table areas, or PPT pages in the original file and use natural language to tell AI what task needs to be completed. For example, selecting a market analysis report to optimize its expression; circling a set of Excel data to have AI analyze it and generate charts; specifying a PPT page to have AI adjust its structure and content; marking blank areas in a report to have AI add relevant sections.AI-generated content appears directly in the original file, where users can continue to edit or add comments. AI will perceive and complete the modifications in real time. After AI completes the edits, users can take over and continue writing at any time. This means that AI is no longer just a “side panel assistant,” but becomes a true collaborator in the creation process.Three Core Upgrades Make AI Transition from “Auxiliary Add-on” to “Third Colleague"The core of this upgrade is to give AI more document operation capabilities and context awareness similar to real collaborators, which are mainly reflected in three aspects:First, it covers more files and scenarios, supporting full human-AI co-writing.Relying on Tencent Docs’ editing capabilities, the latest version of WorkBuddy supports mainstream office formats such as Markdown, Word, Excel, and PPT, and covers both local Office files and online Tencent Docs. Whether it is a thesis, proposal, lesson plan, technical documentation, consulting report, or operational weekly reports, pitch materials, and data analysis, users can complete creation, editing, and collaboration in the same workflow.Second, selecting and modifying is precise and efficient.Users can select paragraphs, data areas, or PPT canvases and let AI make changes only within the specified range, keeping the rest of the layout and content unchanged. For example, in Excel, you can circle thousands of rows of data and let AI perform a pivot analysis, generate trend charts, or batch correct errors and apply complex formulas. Switching to PPT, you can let AI automatically layout the analysis conclusions and charts in a blank area. For structured documents like proposals and lesson plans, you can select the areas to be filled and let AI complete them according to the template.Third, multiple people plus AI, real-time collaboration without interruption.AI-generated content can be uploaded to Tencent Docs with one click, allowing team members to jointly edit the same document across different terminals, as well as collaborate with the same AI partner. All changes are synchronized in real time, and the document context remains intact. From personal writing to team collaboration, to multiple people working on the same task with AI together, human collaboration, human-AI collaboration, and AI-AI collaboration are seamlessly integrated within the same document.From the first generation solving individual local office work, to the second generation solving multi-person collaboration through online documents, as AI agents are deeply integrated into enterprise productivity, office software is moving towards the third stage. By enabling “human-human, human-AI, AI-A

AI NEWSLatest AI NewsArticleConcerns about Microsoft’s Cloud: Growth Deceleration and Leverage Risks Behind Billions in RevenuePublished in Latest AI NewsTime :Jul 31, 2026Read :3minuteIn today’s cloud services market, the arms race among major players is accelerating rapidly. Microsoftachieved its first annual revenue of over $100 billion in the just-completed fiscal year, with a year-over-year growth of 43%. However, this performance does not guarantee peace of mind, as its business growth faces challenges and is even surpassed bywith an astonishing growth rate of 82%.The reason behind this lies in the different paths both giants have chosen in terms of technical approaches and business returns. Google, with its complete ecosystem of self-developed models and chips, has significantly increased its cloud operating profit margin from 20.7% to 35.6%, doubling its profits. In contrast, Microsoft, whose Maia and Cobalt chips are still in early stages, currently relies heavily on commercial chips from NVIDIA. The reselling stack model not only thins its profit structure but also puts more pressure on its computing cost.At the same time, Microsoft’s large order backlog has drawn deep scrutiny from the market. A significant portion of its $67.8 billion in contract backlogs depends on continuous investment from a single client. This highly concentrated client structure and the cycle of capital market lending have raised concerns about potential risks in infrastructure.Against the backdrop of intensifying industry competition, major cloud providers continue to increase their investments. How to find a balance between aggressive computing power arms race and stable financial health will become key to reshaping the future cloud landscape.

AI NEWSLatest AI NewsArticleMiniMax H3 Opens Source but Keeps Americans Out: Not Censorship, but Self-Protection Born from Hollywood Copyright LawsuitsPublished in Latest AI NewsTime :Aug 4, 2026Read :3minuteMiniMax H3, a large video model developed by Xiyu Technology, has been open-sourced and is capable of competing with ByteDance’s Seedance. However, this open-source initiative has drawn an unexpected boundary - users from the United States, the European Union, the United Kingdom, and South Korea are explicitly excluded from the license. A single open-source agreement has barred Americans, which quickly sparked complaints within the community, with some people complaining that even downloading has become a luxury.Facing criticism, Ryan Lee, the head of developer relations at Xiyu Technology, explained the reasons on X: restricting American users stems from the company’s ongoing litigation with major Hollywood studios over generative video copyright. American users are not entirely shut out; if they wish to deploy H3, they can formally apply for authorization, but must commit to establishing a content compliance mechanism that meets U.S. legal and regulatory requirements.The background of this lawsuit is not complicated. In the past, major Hollywood studios such as Disney, Universal Pictures, and Warner Bros. Discovery sued MiniMax, accusing it of using copyrighted content without permission to train its Helo AI model, and generating well-known characters from works such as Marvel and “Star Wars.” In May of this year, a U.S. court rejected MiniMax’s request to dismiss the case, and the case is still ongoing.In other words, this restriction is not a geopolitical conspiracy as many speculate, but rather a defensive move driven by real legal risks. To avoid getting deeper into the courtroom across the ocean, Xiyu Technology chose to draw clear boundaries in the licensing terms. Ultimately, it is the U.S. lawsuit that limits Americans’ ability to use MiniMax H3 - want to download it? Yes, but first you need to take on the responsibility of compliance yourself.

AI NEWSLatest AI NewsArticleChatGPT Atlas Browser Stops Service on August 9th, Users Need to Export Bookmarks Within 10 DaysPublished in Latest AI NewsTime :Aug 4, 2026Read :2minuteOpenAI has buried its first browser itself. ChatGPT Atlas will officially stop service on August 9, after which it will no longer push feature updates or fix security vulnerabilities. From its launch on macOS on October 21, 2025, the product has only survived for less than ten months.The most embarrassing part is that Atlas data will not automatically flow into the new version of ChatGPT. To keep past bookmarks and history records, users have to manually export the data into HTML files and then manually import them into other browsers like Chrome. Worse still, Atlas currently cannot export Cookies, which means users have to log in again to all websites after migration, and there’s no escaping the tedious task of re-entering account passwords.OpenAI made its statement very straightforward in the announcement: after August 9, Atlas will most likely not be able to open any web pages. Moreover, a browser that is no longer maintained will expose security vulnerabilities over time, continuing to use it is like playing with cybersecurity. Therefore, they explicitly advised users not to linger, but to switch early.

AI NEWSLatest AI NewsArticleAutoNavi Upgrades World Model ABot-World-0: Achieves the World’s First 24-Hour Continuous Stable ReasoningPublished in Latest AI NewsTime :Aug 4, 2026Read :3minuteRecently, Alibaba’s AutoNavi announced that its self-developed general interactive world modelABot-World-0has completed a new round of technical upgrades. It now achieves continuous 24-hour stable inference on a single consumer-grade GPU, with no significant degradation in image quality, physical consistency, or interaction response. This makes it the first product in the world to extend the continuous inference duration of an interactive world model from “minutes” to “days.“For a long time, mainstream world models have generally maintained continuous generation capabilities of only 30 seconds to 1 minute. As the inference time increases, issues such as image breakdown, object deformation, distortion of physical laws, and misaligned interaction responses often occur. The root cause lies in the accumulation and gradual amplification of errors during the autoregressive video generation process.To address this industry challenge, AutoNavi proposed a new long-range training paradigm calledLongForcing, which unifies long-term stability and dynamic modeling of open scenarios into the training objective. During the training phase, the model continuously uses its own generated results as subsequent inputs, while constraints ensure that the generated content remains within a reasonable and stable world distribution, effectively alleviating error accumulation and distribution drift. This keeps image quality, scene structure, and dynamic evolution stable during ultra-long sequence inference.Currently,ABot-World-0is officially open-sourced, supporting local deployment on a single consumer-grade graphics card. Relevant capabilities have also been integrated into AutoNavi’s previously released general world model development platformABot-World Studio. This breakthrough further enhances the application potential of world models in scenarios such as long-term interaction, simulation, robot training, and digital twins, providing a new technical path for interactive world models to achieve long-term autonomous operation.

AI NEWSLatest AI NewsArticleIBM Report: 92% AI Security Incidents Stem from Lack of Access Control, AI-related Breach Costs Reach $5.33 MillionPublished in Latest AI NewsTime :Aug 4, 2026Read :3minuteAccording to IBM’s “2026 Cost of a Data Breach Report,” the majority of current AI security incidents do not originate from the models themselves, but rather from deficiencies in access control and fundamental security management within enterprises. The report, based on a survey of 602 global companies by the Ponemon Institute, found that 92% of companies experiencing AI-related security incidents lacked comprehensive AI system access control measures, becoming a major cause of data breaches.The report indicates that about one-fifth of AI security incidents stem from peripheral infrastructure, including API breaches, vulnerabilities in connected applications, or misconfigured cloud services. However, whether enterprises use open-source models or proprietary models has little impact on the likelihood of such incidents. IBM believes these risks are largely due to basic security oversights, which can be exploited with relatively simple attack methods.In terms of costs, data breaches involving AI averaged $5.33 million, higher than $4.7 million for breaches not involving AI. The average cost of data breaches globally increased by 12% year-over-year in 2026, reaching $4.99 million. Notably, when attackers use AI to conduct attacks, the average loss rises to $6.04 million, compared to $5.03 million for attacks that do not use AI.IBM believes that as AI systems accelerate their integration into core business operations, strengthening fundamental security capabilities such as identity authentication, access control, and cloud environment configuration will become key measures to reduce AI security risks and data breach costs.