老板说“分析一下竞品的Deep Research”，我交出了这份报告

Group 1 - The article outlines a systematic approach to conducting a competitive analysis of the Deep Research feature, emphasizing the importance of strategic insights and actionable recommendations [1][2][21] - The core function of Deep Research, launched by OpenAI in February 2025, allows AI to autonomously conduct web searches, integrate information from multiple sources, and generate comprehensive research reports, distinguishing it from traditional AI search methods [5][6] - Key dimensions for analysis include core functionality, feature matrix, and content quality, while market positioning and model technology are considered less critical for this specific inquiry [8][9] Group 2 - The selection of competitors includes direct competitors with independent Deep Research capabilities, indirect competitors with research abilities, and potential competitors that may emerge in the future [10] - Data collection involves three main channels: public information retrieval, product experience through testing, and user research to gather real user feedback [11][12] - The analysis phase includes constructing a feature matrix to compare functionalities across competitors and evaluating content quality based on accuracy, completeness, depth, structure, and usability [14][15][16] Group 3 - The report structure is designed to present core conclusions upfront, followed by an overview of competitors, a feature comparison matrix, content quality assessment results, and typical case studies to illustrate findings [17][18][19][20] - The final section provides actionable recommendations, prioritizing features to follow up on and identifying potential pitfalls to avoid [21][22] - The overall process of competitive evaluation is summarized as a series of methodical steps: clarifying objectives, selecting appropriate competitors, defining dimensions, collecting data, analyzing findings, and producing the report [21]