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 NewsArticleOpenAI New Model Astra Performs Well in Mathematics, but OverhypedPublished in Latest AI NewsTime :Aug 3, 2026Read :2minuteThe new model Astra developed by OpenAI has recently shown impressive performance in the field of mathematics, sparking widespread discussion in the tech industry and on social media. However, renowned scholarGary Marcuswrote an article pointing out that the public’s excessive enthusiasm for Astra is a typical “fallacy of composition,” overestimating its versatility.Gary Marcusemphasized that the success of artificial intelligence in mathematics is not accidental, but because mathematics is well-suited for verification using symbolic tools, and correct synthetic data can be generated at extremely low cost. However, breakthroughs in specific fields cannot be easily generalized to all cognitive tasks. Open-ended problems in the real world are far more complex than mathematics and cannot be solved through simple simulations.Additionally, sinceOpenAIhas not yet released specific method details or evaluation benchmarks for Astra, the understanding of its true capabilities remains very limited. Several experts have warned that improvements in mathematical ability do not automatically eliminate model hallucinations, nor do they indicate the arrival of artificial general intelligence (AGI). The public and the industry should maintain rationality and restraint when evaluating such technological advances.

AI NEWSLatest AI NewsArticleGerman Court Makes a Major Ruling: AI Music Generator Suno Infringes Copyright, Reasonable Use Defense DismissedPublished in Latest AI NewsTime :Aug 3, 2026Read :4minuteRecently, a court in Munich made an important ruling against the well-known AI music generator Suno. The court determined that Suno committed copyright infringement both in the training process of its AI model and in the final output, and formally rejected the company’s defense of fair use. This decision is not yet final.This lawsuit was initiated by the German music copyright organization GEMA, and the case centered around six well-known songs, including Kristina Bach’s “Atemlos durch die Nacht” and the classic song “Rasputin.” After reviewing the case, the court pointed out that versions 3.5 and 4 of Suno’s model could accurately reproduce original elements from these famous songs. Technically, this phenomenon is called “memorization,” where the model not only absorbs general patterns during training but also stores specific original content, which can be retrieved later as generated results.Regarding Suno’s argument that it only stored mathematical patterns and that the outputs were attributed to user prompts, the court did not accept this claim. The court clearly stated that since Suno selected the training data on its own and decided the model’s architecture, it should bear direct responsibility for the infringing outputs, rather than shifting the blame to users who provided open-ended prompts. Additionally, the exception clause related to text and data mining in Germany does not apply to this “memorized copying” behavior.In addition, the court exercised jurisdiction over training activities that occurred within the United States and, based on U.S. law, determined that the fair use doctrine does not protect Suno. The court noted that unlike some U.S. cases previously deemed transformative, Suno’s model can directly generate results highly similar to original works with simple input.Aside from the issue of similarity in the output, the court also noticed a key detail during the trial: Suno used streaming scraping technology to extract music from YouTube and bypassed technical protection measures designed to prevent downloads. Currently, this ruling is still under further review, and it may have a profound impact on copyright compliance and the sources of training data across the entire AI industry.

AI NEWSLatest AI NewsArticleSenseNova U1.5-Lite-Preview by SenseTime: 8B Model Supports Native 4K Image GenerationPublished in Latest AI NewsTime :Aug 3, 2026Read :3minuteSenseTime has announced the open-source preview of its lightweight, unified multimodal modelSenseNova U1.5-Lite-Preview. As a systematic iteration ofSenseNova U1, this model is based on theNEO-unify architecture, achieving native 4K image generation, more detailed texture expression, more accurate Chinese and English text generation, and more stable image editing capabilities with only an 8B-MoT parameter scale.According to the introduction, the SenseNova U1.5-Lite-Preview significantly improves the model’s ability to understand long natural language descriptions and structured visual instructions, enabling more precise visual control according to complex requirements. In terms of image editing, the new model supports style transfer from reference images, combined editing with multiple reference images, and interactive precise adjustment, allowing AI image creation to shift from one-time generation to continuous iteration and optimization.Compared to the previous generation model, U1.5-Lite-Preview has achieved improvements in multiple evaluation benchmarks. SenseTime stated that this model can balance generation quality and interaction capabilities with a smaller model size, further lowering the entry barrier for the application of multimodal AI technology.Currently, SenseNova U1.5-Lite-Preview is available for download onGitHub, Hugging Face, and ModelScope community, allowing developers and researchers to perform secondary development based on the model. At the same time, the delivery-level creative model for professional creators and enterprise usersSenseNova U1Prois in a tight invitation testing phase.As the competition in multimodal models gradually shifts from parameter scale to efficiency, control capability, and practical application experience, SenseTime’s open-source of this lightweight model also reflects the industry’s trend of promoting high-performance AI capabilities toward a broader developer ecosystem.

AI NEWSLatest AI NewsArticleMoon Shadow Denies Rumors of Submitting Hong Kong IPO Application This MonthPublished in Latest AI NewsTime :Aug 3, 2026Read :4minuteRecently, market sources reported that the leading domestic artificial intelligence company, Moonshot AI, plans to formally submit an IPO application to the Hong Kong Stock Exchange as early as this month, with an expected fundraising of about 3 billion US dollars. However, in response to this rumor, Moonshot AI has clearly stated to the media that the information is false.Although the rumor of listing in Hong Kong has not been confirmed yet, the unicorn enterprise in large model has been frequently active in capital and organizational structure, drawing great attention from the industry.Last month, Moonshot AI completed an unprecedented F-round financing. According to the report, the financing amount exceeded 3.5 billion US dollars, attracting a large number of capital pursuits, with subscription amounts even exceeding the original target by three times, which led to the early closure of this round of financing. After this financing, Moonshot AI’s latest post-financing valuation has surged to 35 billion US dollars.In addition to the significant increase in capital reserves, the business registration information of Moonshot AI has also undergone substantial changes recently. On July 29, the company officially completed the business registration change, changing the type of market entity from a limited liability company to a joint-stock company, and the company name was also changed to Beijing Moonshot AI Technology Co., Ltd. At the same time, in the filing of the executive team, Zhang Yutong was added as a director, and Song Sijia was added as the financial officer.As a currently highly focused AI company, every move of Moonshot AI has been touching the nerves of the capital market and the technology industry. Although the official denied the rumor of rushing to list on the Hong Kong stock exchange this month, from its recent frequent capital activities and structural adjustments, its future capitalization process still holds great potential.