competitor-monitoring

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Competitor Monitoring

竞品监控

Discover competitors, build a tracked company table in Extruct, and run recurring research columns to monitor their content, social presence, news, and product moves.

发现竞品，在Extruct中构建一个被追踪的企业表格，并运行定期调研列以监控它们的内容、社交媒体动态、新闻和产品动向。

Related Skills

Extruct API Operations

Extruct API 操作

This skill delegates all Extruct API calls to the

extruct-api

skill.

For all Extruct API operations, read and follow the instructions in

skills/extruct-api/SKILL.md

Table creation, row uploads, column creation, enrichment runs, and data fetching are handled by the extruct-api skill. This skill focuses on which competitors to track and what monitoring columns to add.

该技能将所有Extruct API调用委托给

extruct-api

技能。

所有Extruct API操作，请阅读并遵循

skills/extruct-api/SKILL.md

中的说明。

表格创建、行上传、列创建、数据补全运行和数据获取均由extruct-api技能处理。本技能专注于追踪哪些竞品以及添加哪些监控列。

Inputs

输入项

Input	Source	Required
Client company domain	User provides	yes
Known competitors	User provides (optional — can be discovered)	no
Monitoring focus areas	User choice (default: all)	no
Existing monitoring table ID	Extruct table to reuse	no

输入项	来源	是否必填
客户企业域名	用户提供	是
已知竞品	用户提供（可选——可通过工具发现）	否
监控重点领域	用户选择（默认：全部）	否
现有监控表格ID	可复用的Extruct表格	否

Workflow

工作流

Step 1: Collect competitors

步骤1：收集竞品信息

Start by asking the user: "Which competitors do you want to track?" They may already have a list. Then augment with discovery methods as needed.

Direct input (always start here)

Ask the user for their known competitors. Most users know their top 3-5. This is the primary input — discovery methods below are supplementary.

Augment with lookalike search

Use the extruct-api skill to find similar companies:

companies similar --company-identifier {client_domain} --limit 20

Present results to the user — not all lookalikes are direct competitors. Let the user pick which ones to add.

Augment with web search

Search for competitor lists and comparison pages:

```
"{client_company} vs"
```
— head-to-head comparisons
```
"{client_company} alternatives"
```
— competitor roundups
G2/Capterra category pages for the client's product category

Augment with G2 / review site discovery

If the client is listed on G2, Capterra, or TrustRadius:

Find the client's category page
Extract other vendors in the same category

Combining methods: Use direct input as the base, then run lookalike + web search to surface competitors the user may have missed. Deduplicate by domain. Present the merged list for final confirmation.

Output: Confirmed list of 3-10 competitor domains.

首先询问用户：“你想要追踪哪些竞品？”他们可能已经有一个列表。然后根据需要使用发现方法补充竞品。

直接输入（始终从这里开始）

询问用户已知的竞品。大多数用户知道他们的前3-5个竞品。这是主要输入——以下发现方法仅作为补充。

通过相似企业搜索补充

使用extruct-api技能查找相似企业：

companies similar --company-identifier {client_domain} --limit 20

将结果呈现给用户——并非所有相似企业都是直接竞品。让用户选择要添加的竞品。

通过网络搜索补充

搜索竞品列表和对比页面：

```
"{client_company} vs"
```
—— 一对一对比
```
"{client_company} alternatives"
```
—— 竞品汇总
客户产品类别的G2/Capterra分类页面

通过G2/评论网站发现补充

如果客户在G2、Capterra或TrustRadius上有收录：

找到客户的分类页面
提取同一类别中的其他供应商

方法组合： 以直接输入为基础，然后运行相似企业搜索+网络搜索，找出用户可能遗漏的竞品。按域名去重。将合并后的列表呈现给用户进行最终确认。

输出： 已确认的3-10个竞品域名列表。

Step 2: Create the competitor monitoring table

步骤2：创建竞品监控表格

Delegate to the extruct-api skill to create a company table (or reuse an existing one):

json

{
  "name": "{client_name} — Competitor Monitoring",
  "kind": "company"
}

Upload competitor domains as rows (batch of 50 via extruct-api skill). The table auto-generates

company_profile

company_name

, and

company_website

columns.

Include the client's own domain as the first row — useful for side-by-side comparison.

委托extruct-api技能创建企业表格（或复用现有表格）：

json

{
  "name": "{client_name} — Competitor Monitoring",
  "kind": "company"
}

批量上传竞品域名作为行（通过extruct-api技能最多批量上传50个）。表格会自动生成

company_profile

、

company_name

和

company_website

列。

将客户自身的域名作为第一行加入——便于对比分析。

Step 3: Add monitoring columns

步骤3：添加监控列

Add research columns based on the user's monitoring focus. Present the menu below and let them choose which to enable.

根据用户的监控重点添加调研列。呈现以下菜单，让用户选择要启用的列。

Core columns (recommended for all setups)

核心列（推荐所有配置都启用）

Column	Key	Agent	Format	Prompt summary
Key People	`key_people`	`research_pro`	`text`	List key people with roles, LinkedIn/X profiles. Search company website, Crunchbase/PitchBook, LinkedIn
Business Model Analysis	`business_model_analysis`	`research_pro`	`text`	Revenue streams, customer segments, value propositions, competitive advantages
Competitors List	`competitors_list`	`research_pro`	`text`	Who this competitor competes with (useful for discovering adjacent competitors)
Funding History	`funding_history`	`research_pro`	`text`	Funding rounds, investors, amounts, dates

列名	键值	代理	格式	提示语摘要
关键人物	`key_people`	`research_pro`	`text`	列出关键人物及其职位、LinkedIn/X主页。搜索企业官网、Crunchbase/PitchBook、LinkedIn
商业模式分析	`business_model_analysis`	`research_pro`	`text`	收入来源、客户群体、价值主张、竞争优势
竞品列表	`competitors_list`	`research_pro`	`text`	该竞品的竞争对手（有助于发现间接竞品）
融资历史	`funding_history`	`research_pro`	`text`	融资轮次、投资者、金额、日期

Content monitoring columns

内容监控列

Column	Key	Agent	Format	Prompt summary
Company Blog URL	`company_blog_url`	`research_pro`	`url`	Find the company's blog or content hub URL
Recent Blog Posts (6mo)	`recent_blog_posts_6mo`	`research_pro`	`text`	List blog posts from the last 6 months with titles, dates, topics, and URLs
People LinkedIn Updates	`recent_company_updates`	`research_pro`	`text`	Recent LinkedIn posts and activity from key people at the company

列名	键值	代理	格式	提示语摘要
企业博客URL	`company_blog_url`	`research_pro`	`url`	查找企业博客或内容中心的URL
近期博客文章（6个月内）	`recent_blog_posts_6mo`	`research_pro`	`text`	列出过去6个月的博客文章，包含标题、日期、主题和URL
关键人物LinkedIn动态	`recent_company_updates`	`research_pro`	`text`	企业关键人物的近期LinkedIn帖子和动态

News monitoring columns

新闻监控列

Column	Key	Agent	Format	Prompt summary
Recent Company News	`recent_company_news`	`research_pro`	`text`	News articles, press releases, product announcements from the last 6 months
Public News (6mo)	`public_news_6mo`	`research_pro`	`text`	Broader public coverage — media mentions, analyst reports, event appearances
News Summary	`news_summary`	`llm`	`text`	Synthesize recent_company_news and public_news_6mo into a concise briefing. Dependencies: `recent_company_news` , `public_news_6mo`

列名	键值	代理	格式	提示语摘要
近期企业新闻	`recent_company_news`	`research_pro`	`text`	过去6个月的新闻文章、新闻稿、产品公告
公开新闻（6个月内）	`public_news_6mo`	`research_pro`	`text`	更广泛的公开报道——媒体提及、分析师报告、活动出席情况
新闻摘要	`news_summary`	`llm`	`text`	将近期企业新闻和公开新闻整合成简洁的简报。依赖项： `recent_company_news` 、 `public_news_6mo`

Column config examples

列配置示例

Key People:

json

{
  "kind": "agent",
  "name": "Key People",
  "key": "key_people",
  "value": {
    "agent_type": "research_pro",
    "prompt": "List the key people in the company along with their roles. To find key people, leverage company website, crunchbase/pitchbook or other company profiles, search linkedin and broader web.\n\nFor each person, provide their LinkedIn and/or X profile links if available. Format the response as a bulleted list with names, roles, and links.",
    "output_format": "text",
    "extra_dependencies": ["company_name", "company_website"]
  }
}

Recent Blog Posts:

json

{
  "kind": "agent",
  "name": "Recent Blog Posts 6mo",
  "key": "recent_blog_posts_6mo",
  "value": {
    "agent_type": "research_pro",
    "prompt": "Find and list blog posts published by this company in the last 6 months. For each post include: title, publication date, main topic/theme, and URL. Focus on the company's official blog or content hub. If no blog is found, check for articles on Medium, Substack, or LinkedIn articles by the company page.",
    "output_format": "text",
    "extra_dependencies": ["company_name", "company_website", "company_blog_url"]
  }
}

People LinkedIn Updates:

json

{
  "kind": "agent",
  "name": "People LinkedIn Updates",
  "key": "recent_company_updates",
  "value": {
    "agent_type": "research_pro",
    "prompt": "Find recent LinkedIn posts and updates from key people at this company (founders, executives, and other visible team members). Summarize the main themes, announcements, and engagement patterns. Include links to notable posts.",
    "output_format": "text",
    "extra_dependencies": ["company_name", "company_website", "key_people"]
  }
}

News Summary (LLM synthesis, depends on other columns):

json

{
  "kind": "agent",
  "name": "News Summary",
  "key": "news_summary",
  "value": {
    "agent_type": "llm",
    "prompt": "Synthesize the recent company news and public news into a concise executive briefing. Highlight: 1) Major product or strategy shifts, 2) Funding or M&A activity, 3) Key hires or departures, 4) Market positioning changes. Keep it to 3-5 bullet points.",
    "output_format": "text",
    "extra_dependencies": ["recent_company_news", "public_news_6mo"]
  }
}

关键人物：

json

{
  "kind": "agent",
  "name": "Key People",
  "key": "key_people",
  "value": {
    "agent_type": "research_pro",
    "prompt": "List the key people in the company along with their roles. To find key people, leverage company website, crunchbase/pitchbook or other company profiles, search linkedin and broader web.\n\nFor each person, provide their LinkedIn and/or X profile links if available. Format the response as a bulleted list with names, roles, and links.",
    "output_format": "text",
    "extra_dependencies": ["company_name", "company_website"]
  }
}

近期博客文章：

json

{
  "kind": "agent",
  "name": "Recent Blog Posts 6mo",
  "key": "recent_blog_posts_6mo",
  "value": {
    "agent_type": "research_pro",
    "prompt": "Find and list blog posts published by this company in the last 6 months. For each post include: title, publication date, main topic/theme, and URL. Focus on the company's official blog or content hub. If no blog is found, check for articles on Medium, Substack, or LinkedIn articles by the company page.",
    "output_format": "text",
    "extra_dependencies": ["company_name", "company_website", "company_blog_url"]
  }
}

关键人物LinkedIn动态：

json

{
  "kind": "agent",
  "name": "People LinkedIn Updates",
  "key": "recent_company_updates",
  "value": {
    "agent_type": "research_pro",
    "prompt": "Find recent LinkedIn posts and updates from key people at this company (founders, executives, and other visible team members). Summarize the main themes, announcements, and engagement patterns.",
    "output_format": "text",
    "extra_dependencies": ["company_name", "company_website", "key_people"]
  }
}

新闻摘要（LLM合成，依赖其他列）：

json

{
  "kind": "agent",
  "name": "News Summary",
  "key": "news_summary",
  "value": {
    "agent_type": "llm",
    "prompt": "Synthesize the recent company news and public news into a concise executive briefing. Highlight: 1) Major product or strategy shifts, 2) Funding or M&A activity, 3) Key hires or departures, 4) Market positioning changes. Keep it to 3-5 bullet points.",
    "output_format": "text",
    "extra_dependencies": ["recent_company_news", "public_news_6mo"]
  }
}

Step 4: Run enrichment

步骤4：运行数据补全

Delegate to the extruct-api skill to trigger enrichment on all newly added columns. Scope the run to only the new columns.

Monitor progress — these are

research_pro

columns, so they take longer than

llm

columns (expect 1-3 minutes per row per column).

委托extruct-api技能触发所有新增列的数据补全。将运行范围限定为仅新增列。

监控进度——这些是

research_pro

列，因此比

llm

列耗时更长（预计每列每行1-3分钟）。

Step 5: Review baseline results

步骤5：查看基准结果

Once enrichment completes, fetch data and present a competitor overview:

Competitor Monitoring Baseline — {client_name}
================================================

| Company | Key People | Blog Posts (6mo) | Recent News | Funding |
|---------|-----------|------------------|-------------|---------|
| Competitor A | 5 found | 12 posts | 3 articles | Series B |
| Competitor B | 3 found | 0 posts | 1 article | Seed |
| ...     | ...       | ...              | ...         | ...     |

Notable Findings:
- [Competitor A] published 12 blog posts in 6mo — active content strategy
- [Competitor B] raised Series B last month — expect product expansion
- [Competitor C] has no blog — rely on social monitoring instead

Ask the user:

"Does the competitor list look complete? Want to add any?"
"Any columns returning thin results that we should drop?"
"Ready to move to next steps (target their customers, scrape their audience)?"

数据补全完成后，获取数据并呈现竞品概览：

Competitor Monitoring Baseline — {client_name}
================================================

| Company | Key People | Blog Posts (6mo) | Recent News | Funding |
|---------|-----------|------------------|-------------|---------|
| Competitor A | 5 found | 12 posts | 3 articles | Series B |
| Competitor B | 3 found | 0 posts | 1 article | Seed |
| ...     | ...       | ...              | ...         | ...     |

Notable Findings:
- [Competitor A] published 12 blog posts in 6mo — active content strategy
- [Competitor B] raised Series B last month — expect product expansion
- [Competitor C] has no blog — rely on social monitoring instead

询问用户：

“竞品列表是否完整？是否要添加更多？”
“有没有列返回的结果过少，需要删除？”
“是否准备好进入下一步（定位他们的客户、抓取他们的受众）？”

Step 6: Re-running for fresh data

步骤6：重新运行以获取最新数据

Extruct does not have built-in scheduling. To refresh monitoring data, re-run enrichment on the table's columns. Each re-run overwrites the previous column values with fresh research results.

How to re-run: Use the extruct-api skill to trigger enrichment on specific columns:

tables run {table_id} --mode all --columns recent_blog_posts_6mo,recent_company_updates,recent_company_news

What to re-run and when:

Columns	When to re-run	Why
`recent_blog_posts_6mo` , `recent_company_updates`	When the user wants a content update	Blog and social data goes stale fastest
`recent_company_news` , `public_news_6mo` , `news_summary`	When the user wants a news update	Catches new announcements, funding, launches
`key_people`	After hearing about exec changes	Detects new hires, departures
`funding_history`	After hearing about a raise	Updates funding rounds
`business_model_analysis` , `competitors_list`	Periodically or after market shifts	These change slowly — quarterly at most

Re-running all columns at once:

tables run {table_id} --mode all

This refreshes everything but costs more research credits and takes longer. Prefer scoped re-runs for routine updates.

After each re-run, review the updated data (Step 5) and flag significant changes to the user — new blog posts, funding rounds, people moves, or messaging shifts.

Extruct没有内置调度功能。要刷新监控数据，请重新运行表格列的数据补全。每次重新运行都会用最新的调研结果覆盖之前的列值。

如何重新运行： 使用extruct-api技能触发特定列的数据补全：

tables run {table_id} --mode all --columns recent_blog_posts_6mo,recent_company_updates,recent_company_news

重新运行的列和时机：

列	重新运行时机	原因
`recent_blog_posts_6mo` , `recent_company_updates`	当用户需要内容更新时	博客和社交媒体数据过时最快
`recent_company_news` , `public_news_6mo` , `news_summary`	当用户需要新闻更新时	捕捉新公告、融资、产品发布
`key_people`	听说高管变动后	检测新招聘或离职情况
`funding_history`	听说融资后	更新融资轮次
`business_model_analysis` , `competitors_list`	定期或市场变化后	这些数据变化缓慢——最多每季度更新一次

一次性重新运行所有列：

tables run {table_id} --mode all

这会刷新所有数据，但会消耗更多调研积分且耗时更长。日常更新优先选择限定范围的重新运行。

每次重新运行后，查看更新后的数据（步骤5），并向用户标记重大变化——新博客文章、融资轮次、人事变动或营销策略调整。

Output

输出

Output	Format	Location
Competitor monitoring table	Extruct company table	`https://app.extruct.ai/tables/{table_id}`

输出项	格式	位置
竞品监控表格	Extruct企业表格	`https://app.extruct.ai/tables/{table_id}`

Next Steps After Setup

设置完成后的后续步骤

Target competitor customers → use
```
list-building
```
with competitor domains as seeds for lookalike search
Target competitor audience → use
```
competitor-post-engagers
```
to scrape people engaging with competitor LinkedIn posts
Deep dive on a competitor → use
```
market-research
```
for in-depth analysis of a specific competitor's market positioning
Enrich with custom data points → use
```
list-enrichment
```
to add custom research columns (pricing, tech stack, etc.)

定位竞品客户 → 使用
```
list-building
```
技能，以竞品域名为种子进行相似企业搜索
定位竞品受众 → 使用
```
competitor-post-engagers
```
技能抓取与竞品LinkedIn帖子互动的用户
深入分析单个竞品 → 使用
```
market-research
```
技能对特定竞品的市场定位进行深度分析
用自定义数据点补全 → 使用
```
list-enrichment
```
技能添加自定义调研列（定价、技术栈等）

competitor-monitoring

Original

Translation

Competitor Monitoring

竞品监控

Related Skills

相关技能

Extruct API Operations

Extruct API 操作

Inputs

输入项

Workflow

工作流

Step 1: Collect competitors

步骤1：收集竞品信息

Step 2: Create the competitor monitoring table

步骤2：创建竞品监控表格

Step 3: Add monitoring columns

步骤3：添加监控列

Core columns (recommended for all setups)

核心列（推荐所有配置都启用）

Content monitoring columns

内容监控列

News monitoring columns

新闻监控列

Column config examples

列配置示例

Step 4: Run enrichment

步骤4：运行数据补全

Step 5: Review baseline results

步骤5：查看基准结果

Step 6: Re-running for fresh data

步骤6：重新运行以获取最新数据

Output

输出

Next Steps After Setup

设置完成后的后续步骤