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Content Calendar Automation

Intermediate Make Saves 3-4 hours weekly

AI 根据行业热点和历史Data Auto Generation Content Topic Planning Suggestion, 填充Content Calendar, 并在Deadline日期前Auto Reminder相关Staff.

Implementation Steps

  1. Make Weekly一触发, 抓取行业热搜和趋势Data
  2. 调用 AI Analysis热点与品牌的关联度, Generation 10 个Topic Planning Suggestion
  3. 将Topic Planning Auto填入 Notion Content Calendar Data库
  4. 根据Team Member专长Auto分配写作Task
  5. Deadline日期前 2 天Auto Send Reminder Notification
  6. 统计Complete率并Generation周度Content产出Report

Tools Used

Make ChatGPT API Notion Slack Google Trends

Use Cases

Content主管需要Management 3-5 人Team的Content产出节奏

Estimated Time Saved

Saves 3-4 hours weekly

Prerequisites

  • Make Account
  • Notion 工作区
  • OpenAI API Key

Practical技巧

  • AITopic Planning Suggestion需要结合品牌定位Screening
  • 保留20%Topic Planning空间给突发热点
  • 记录Topic Planning→实际表现的对应关系

成本估算

约 ¥30-100/月

替代Solution

  • Notion AI 自带Topic Planning功能
  • 飞书文档+飞书Calendar
  • Trello + ChatGPT Manual

详细搭建Tutorial

1Preparation

在 Notion 中Create Content Calendar Data库, 字段包括Topic Planning标题, 负责人, Deadline日期, Status, Platform, 关键词等. Configure Make Account并Connect Notion API, 同时申请 OpenAI API Key 和 Google Trends Data接口.

2热点Data Collection

在 Make 中Configure HTTP 模块抓取 Google Trends, 微博热搜, 行业媒体的热点Data. Settings Weekly一早上Auto触发, 将Collection到的热点关键词和趋势Data传递给 ChatGPT API 进行Analysis Screening.

3AI Topic Planning Generation

设计提示词让 AI 结合热点Data, 品牌定位和历史Content表现Generation Topic Planning Suggestion. 要求每个Topic Planning包含标题, 角度, 目标关键词和预估难度. 输出格式化为 JSON 方便直接写入 Notion Data库.

4Task分配与Reminder

根据Team Member的专长标签Auto匹配Topic Planning分配, 通过 Slack Notification对应Member. Settings Deadline日期前 2 天的Auto Reminder, 未Complete的Task在Deadline当天Upgrade Reminder给主管.

5Test与Optimization

Run 2-3 周后统计 AI Topic Planning的采纳率和实际Content表现, Comparison人工Topic Planning的Data. 根据Feedback调整 AI 提示词中的品牌定位描述和Topic Planning偏好, 逐步提升Topic Planning质量.

6Incident排除

FAQ包括热点Data接口不稳定, AI Generation Topic Planning与品牌调性不符, Notion API 写入格式Error. Suggestion Settings备用Data源, 在提示词中加入品牌禁忌话题清单, Test Notion 字段映射关系.

效果衡量指标

📊AI Topic Planning Suggestion的Team采纳率
📊Content Calendar Task的按时Complete率
📊基于 AI Topic Planning产出Content的平均表现Data
📊Weekly Content产出数量与计划数量的达成比

FAQ

AI Generation的Topic Planning和品牌定位不匹配怎么办？

在提示词中详细描述品牌定位, 目标受众和Content调性, 并提供 5-10 个过往优秀Topic Planning作为参考范例. 同时Settings负面清单, 明确列出不适合的话题方向.

如何平衡热点Topic Planning和常青Content？

Suggestion在 AI 提示词中明确要求Generation比例, 如 60% 热点相关Topic Planning和 40% 常青Content Topic Planning. 常青Content可以基于 SEO 关键词Data Generation, 不依赖实时热点.

Team Member不认可 AI 分配的Topic Planning怎么Processing？

Settings Topic Planning Confirm环节, Member收到分配Notification后有 24 hours Confirm或申请更换. 保留 20% 的自选空间让Member提出自己的Topic Planning想法, AI 分配仅作为Suggestion而非强制.

Make 的Scheduled触发不准时怎么办？

Make Free tier的Scheduled精度为 15 minutes, Pro 版可精确到minutes. 如果对触发时间要求严格, Suggestion Upgrade到 Pro 版或使用外部 Cron 服务触发 Make 的 Webhook.

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