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competitor-monitoring-system

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Competitor Monitoring System

竞争对手监控系统

Set up ongoing competitive intelligence for a client. Monitor competitor content, ads, reviews, social presence, and product moves. Produce regular intelligence reports.
为客户搭建持续的竞争情报体系，监控竞争对手的内容、广告、评论、社交媒体动态及产品变动，定期生成情报报告。

When to Use

适用场景

  • "Set up competitor monitoring for [client]"
  • "Track what [competitors] are doing"
  • "Monitor [competitor] content and ads"
  • 「为[客户]搭建竞争对手监控体系」
  • 「追踪[竞争对手]的动态」
  • 「监控[竞争对手]的内容与广告」

Prerequisites

前置条件

  • List of competitors to track (typically 3-7)
  • Client context with competitive positioning
  • Competitor founder/executive LinkedIn profiles (for social monitoring)
  • 需追踪的竞争对手列表（通常3-7家）
  • 包含竞争定位的客户背景信息
  • 竞争对手创始人/高管的LinkedIn主页（用于社交媒体监控）

Setup Steps

搭建步骤

1. Define Competitor Watchlist

1. 定义竞争对手观察清单

Create a competitor tracking file: 
clients/<client-name>/intelligence/competitor-watchlist.md
For each competitor, document:
  • Company name and URL
  • Key products/features
  • Founder/exec LinkedIn profiles
  • Known content channels (blog URL, YouTube, podcast)
  • Review profiles (G2, Capterra URLs)
  • Ad library pages (Meta, Google)
创建竞争对手追踪文件：
clients/<client-name>/intelligence/competitor-watchlist.md
为每家竞争对手记录以下信息：
  • 公司名称及官网URL
  • 核心产品/功能
  • 创始人/高管的LinkedIn主页
  • 已知内容渠道（博客URL、YouTube、播客）
  • 评论平台主页（G2、Capterra的URL）
  • 广告库页面（Meta、Google）

2. Initial Competitive Baseline

2. 建立初始竞争基准线

Run the full competitor-intel composite for each competitor to establish a baseline:
Skill: competitor-intel (chains reddit + twitter + linkedin + blog + review scrapers)
Plus:
  • Skill: meta-ad-scraper — Scrape their current Meta ads
  • Skill: google-ad-scraper — Scrape their current Google ads
  • Skill: review-scraper — Pull latest G2/Capterra/Trustpilot reviews
Output: 
clients/<client-name>/intelligence/competitor-baseline.md
为每家竞争对手运行完整的competitor-intel组合工具，建立基准数据：
Skill: competitor-intel（整合reddit + twitter + linkedin + blog + review scrapers）
额外补充：
  • Skill: meta-ad-scraper — 抓取其当前的Meta广告
  • Skill: google-ad-scraper — 抓取其当前的Google广告
  • Skill: review-scraper — 获取最新的G2/Capterra/Trustpilot评论
输出文件: 
clients/<client-name>/intelligence/competitor-baseline.md

3. Configure Monitoring Cadence

3. 配置监控周期

What to MonitorFrequencySkillWhat to Look For
Blog/content outputWeeklyblog-scraperNew posts, topic shifts, SEO attacks
Social media postsWeeklylinkedin-profile-post-scraper + twitter-scraperMessaging changes, product announcements, engagement patterns
Reddit/HN mentionsWeeklyreddit-scraper + hacker-news-scraperUser sentiment, complaints, praise, feature requests
Ad creative changesBi-weeklymeta-ad-scraper + google-ad-scraperNew campaigns, messaging shifts, spend changes
Review sentimentMonthlyreview-scraperNew reviews, rating trends, common complaints
监控内容频率Skill关注要点
博客/内容产出每周blog-scraper新发布内容、主题转向、SEO攻击
社交媒体帖子每周linkedin-profile-post-scraper + twitter-scraper话术变化、产品发布、互动模式
Reddit/HN提及每周reddit-scraper + hacker-news-scraper用户情绪、投诉、好评、功能需求
广告创意变动每两周meta-ad-scraper + google-ad-scraper新营销活动、话术调整、投放费用变化
评论情绪每月review-scraper新评论、评分趋势、常见投诉

4. Run Monitoring

4. 执行监控

Each monitoring cycle:
  1. Run the relevant scrapers for the cycle type
  2. Compare new data against the baseline/previous cycle
  3. Flag significant changes:
    • New product features or pricing changes
    • New content targeting our client's keywords
    • Negative review trends (poaching opportunity)
    • New ad campaigns (messaging intelligence)
    • Founder/exec public statements about strategy
每个监控周期执行以下操作：
  1. 运行对应周期类型的相关爬虫工具
  2. 将新数据与基准线/上一周期数据对比
  3. 标记重大变动：
    • 新功能或定价调整
    • 针对客户关键词发布的新内容
    • 负面评论趋势（客户挖掘机会）
    • 新广告活动（话术情报）
    • 创始人/高管关于战略的公开声明

5. Produce Intelligence Report

5. 生成情报报告

After each cycle, produce a brief intelligence summary:
undefined
每个周期结束后，生成简短的情报摘要：
undefined

Competitor Intelligence — [Client] — Week of [Date]

竞争对手情报 — [客户名称] — [日期]当周

Key Changes

核心变动

  • [Competitor A] published 3 new blog posts targeting "[keyword]"
  • [Competitor B] launched new Meta ad campaign focused on [theme]
  • [Competitor C] received 5 negative G2 reviews about [issue]
  • [竞争对手A]发布3篇针对「[关键词]」的新博客
  • [竞争对手B]推出聚焦[主题]的全新Meta广告活动
  • [竞争对手C]收到5条关于[问题]的G2负面评论

Recommended Actions

建议行动

  • Publish response content for [Competitor A]'s keyword attack
  • Create comparison page addressing [Competitor B]'s new messaging
  • Target [Competitor C]'s unhappy customers with migration content
  • 发布针对[竞争对手A]关键词攻击的回应内容
  • 创建对比页面应对[竞争对手B]的新话术
  • 针对[竞争对手C]的不满客户制作迁移引导内容

Detailed Findings

详细发现

[Per-competitor breakdown]

**Output**: `clients/<client-name>/intelligence/competitor-reports/[date].md`
[各竞争对手细分分析]

**输出文件**: `clients/<client-name>/intelligence/competitor-reports/[date].md`

Ongoing Cadence

持续监控周期

  • Weekly: Content + social monitoring, brief report
  • Bi-weekly: Ad monitoring
  • Monthly: Full review scrape + comprehensive report
  • Quarterly: Re-run full competitor-intel baseline, update watchlist
  • 每周: 内容+社交媒体监控，生成简短报告
  • 每两周: 广告监控
  • 每月: 完整评论抓取+全面报告
  • 每季度: 重新运行完整的competitor-intel基准线，更新观察清单

Human Checkpoints

人工审核节点

  • After setup: Review competitor watchlist and monitoring plan
  • After each report: Review recommended actions before executing
  • 搭建完成后: 审核竞争对手观察清单及监控计划
  • 每份报告生成后: 执行前审核建议行动