AI们给锦秋基金的写稿建议，我们要不要听？

Core Insights - The article discusses the evaluation of AI tools for analyzing operational data from the "Jinqiu" WeChat public account, focusing on their effectiveness in generating actionable insights and recommendations [1][2]. Evaluation Focus - The evaluation emphasizes the effectiveness of AI-generated reports, including their depth of insight, novelty of conclusions, and overall user experience [2]. AI Tools Selection - Fourteen AI tools with data analysis capabilities were selected for evaluation, covering various functionalities such as general models, multi-modal capabilities, and specific applications in data analysis [4]. Testing Design - The evaluation involved two rounds of testing: the first round assessed AI's ability to provide high-level insights from basic prompts, while the second round required detailed instructions to gauge the depth of analysis [5][7]. Performance of AI Tools - The performance of AI tools varied significantly, with some tools like Claude Sonnet 4.5 and MiniMax demonstrating superior capabilities in generating clear reports and actionable insights [12][19]. Insights from AI Analysis - AI tools suggested that content strategies focusing on "investment dynamics" and "in-depth research" yield the best results in terms of user engagement and follower growth [22][24]. Recommendations for Content Strategy - The article recommends optimizing content release schedules, enhancing shareability of posts, and improving user interaction based on AI insights [23][25][26]. User Interaction Insights - Analysis of user comments revealed strong demand for event registration, resource access, and high-quality content, indicating areas for improvement in user engagement strategies [26].