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firecrawl-lead-research

by @firecrawlv
4.4(120)

利用 Firecrawl 自动生成会前销售线索情报简报,涵盖公司、人物、新闻、痛点和沟通要点,大幅提升销售准备效率。

saleslead-generationmarket-researchpre-meeting-prepfirecrawlGitHub
安装方式
git clone https://github.com/firecrawl/firecrawl-workflows.git
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Before / After 效果对比

1
使用前

销售人员需手动搜索公司官网、新闻、社交媒体,耗时费力,信息零散,难以快速形成完整简报。

使用后

Firecrawl 自动抓取并整合公司、人物、新闻等关键信息,一键生成结构化简报,大幅缩短准备时间,提升会议质量。

SKILL.md

Firecrawl Lead Research

Use this to create a concise, actionable pre-meeting brief.

Onboarding Interview

Infer the company, person, meeting context, and desired brief depth from context. If the company is clear, proceed immediately.

Ask at most 1-3 concise questions only if blocked, such as the company/person to research or the meeting context.

Firecrawl Collection Plan

Use Firecrawl search and scrape to gather:

  • company website, about, product, pricing, careers, team, and customer pages
  • recent news, funding, launches, hiring, partnerships, and press
  • public person profiles, talks, posts, interviews, and role/background
  • relevant industry context and likely business challenges

Parallel Work

If appropriate, use sub-agents or equivalent parallel task runners:

  • Company Profile researcher
  • Recent News and Activity researcher
  • Person researcher
  • Industry/Pain Point researcher

Each researcher should return source URLs and only evidence-backed claims.

Final Deliverable

# Lead Brief: [Company]

## Company Overview
[What they do, stage/size signals, products, customers]

## Recent Activity
[News, launches, funding, hiring, partnerships]

## Key People
[Relevant people and public background]

## Talking Points
[5-7 specific conversation starters]

## Likely Pain Points
[Evidence-backed hypotheses]

## Outreach Angle
[Suggested positioning or next step]

## Sources
[URLs used]

## Rerun Inputs
workflow: firecrawl-lead-research
company: [name/url]
person: [optional]
context: [meeting context]

Quality Bar

  • Keep it concise and useful before a meeting.
  • Do not fabricate personal details.
  • Clearly separate facts from inferred pain points.

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统计数据

安装量3.3K
评分4.4 / 5.0
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更新日期2026年5月23日
对比案例1 组

用户评分

4.4(120)
5
37%
4
43%
3
13%
2
5%
1
2%

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创建2026年5月22日
最后更新2026年5月23日