Core Insights - The article emphasizes the transformative potential of AI tools like ChatGPT and Perplexity in conducting deep research, significantly reducing the time required for GTM (Go-To-Market) projects from hours to minutes [2][3]. Group 1: AI Functionality and Use Cases - Deep research is highlighted as a groundbreaking AI feature that can handle complex non-engineering tasks from planning to high-quality output generation [2]. - Despite its capabilities, the adoption of deep research tools is lower than expected, partly due to the term "research" which may deter broader usage beyond academics and investors [2][3]. - The article aims to showcase real GTM use cases to inspire creative applications of deep research tools [3]. Group 2: Best Practices for Effective Research - The quality of output from deep research tools heavily relies on the sources used; AI often misjudges the credibility of sources, leading to potential inaccuracies [3][4]. - Recommendations include specifying preferred source types in prompts and creating high-quality source lists to enhance research outcomes [4][5]. - Providing context is crucial for tailored insights; users should share relevant background information to avoid generic outputs [6][7][8]. Group 3: Structuring Research Requests - Users are encouraged to clarify their research goals and the specific context of their requests to achieve more impactful results [8][9]. - Establishing a project context can streamline future research requests, reducing the need to repeat background information [10]. - Asking for a research plan before the AI begins can help align expectations and methodologies [13][16]. Group 4: Tool Comparisons and Recommendations - ChatGPT is identified as the best general-purpose deep research tool, especially after the release of GPT-5 and Agent Mode, which enhances its capabilities [24][26]. - Gemini is noted as a strong alternative with fewer usage restrictions, while Perplexity excels in specific website-focused research [26][24]. - The article provides various use cases for deep research, including competitor analysis, marketing attribution models, and international market assessments [25][41].

Core Viewpoint - The article discusses the launch of Metaso's deep research feature, which is the first free product offering in the market that provides deep research capabilities, aiming to reduce costs while maintaining high accuracy in AI search and reasoning results [2][64]. Group 1: Deep Research Functionality - Metaso has implemented a segmented reinforcement learning approach to break down deep research tasks, significantly reducing resource consumption while ensuring high accuracy [3]. - The platform enhances user confidence by allowing them to verify information through various interactions and displays, effectively reducing model hallucinations [4][14]. - A novel interaction design reveals the dynamic "problem chain" during the execution of deep research tasks, providing users with insights into the model's reasoning process [7][14]. Group 2: User Interaction and Experience - The deep research results are presented in a more understandable format, utilizing various modalities to aid comprehension, such as audio explanations and interactive reports [15][21]. - Users can generate audio podcasts for each result, allowing for verification of information through listening [16]. - The platform highlights references and sources interactively, enhancing the user experience and understanding of the results [17]. Group 3: Case Studies and Applications - The article provides examples of how the deep research feature effectively addresses current social and financial issues, such as the inheritance dispute involving Wahaha's founder, Zong Qinghou, and the implications of stablecoins in the financial sector [27][40]. - A detailed timeline of events related to the inheritance dispute is presented, showcasing the platform's ability to organize and clarify complex information [30][33]. - The platform also offers strategic insights for gaming scenarios, demonstrating its versatility in handling various types of inquiries [50][61]. Group 4: Technological Innovation and Philosophy - Metaso's commitment to providing free access to advanced AI search and deep research services reflects a belief that the best technology should serve the most people [64][65]. - The company emphasizes that technological innovation is driven by the desire to reduce costs and improve service quality, rather than merely providing free services as a charitable act [64].