afrexai-lead-hunter

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企业级B2B潜在客户生成、信息完善、评分以及自动化外联流程,专为AI代理设计。系统能够自动寻找理想的目标客户,利用经过验证的数据完善客户信息,根据您的业务指标(ICP)对客户进行评分,并生成个性化的营销策略。

AgentWorkers By AgentWorkers schedule Updated 2/15/2026

name: afrexai-lead-hunter description: "企业级B2B潜在客户生成、信息完善、评分以及自动化外联流程,专为AI代理设计。系统能够自动寻找理想的目标客户,利用经过验证的数据完善客户信息,根据您的业务指标(ICP)对客户进行评分,并生成个性化的营销策略。" tags: [leads, sales, b2b, prospecting, enrichment, outreach, pipeline, crm, cold-email, icp] author: AfrexAI version: 1.0.0 license: MIT

AfrexAI Lead Hunter Pro

将您的人工智能销售代理转变为一个完整的B2B销售开发工具:从发现潜在客户到跟进沟通,再到完成交易,全程无需人工干预。


架构

DEFINE ICP ──▶ DISCOVER ──▶ ENRICH ──▶ SCORE ──▶ SEGMENT ──▶ OUTREACH ──▶ CRM
    │              │            │          │          │            │          │
    ▼              ▼            ▼          ▼          ▼            ▼          ▼
 Persona      Multi-source  Email+Phone  ICP fit   Tier A/B/C  Sequences  Pipeline
 Builder      Web Research  Company Data  Intent    Campaigns   Templates  Tracking

第一阶段:定义理想客户画像(ICP)

在开始寻找潜在客户之前,首先要明确您要寻找的目标客户群体。请回答以下问题:

公司层面的ICP(Ideal Company Profile)

# Copy and customize this ICP template
company:
  industries: [SaaS, fintech, legal-tech, prop-tech]
  employee_range: [50, 500]        # sweet spot for AI adoption
  revenue_range: [$5M, $100M]      # can afford $120K+ contracts
  funding_stage: [Series A, Series B, Series C]
  tech_signals:                     # tools that indicate AI readiness
    positive: [Salesforce, HubSpot, Snowflake, AWS, Python]
    negative: [no-website, wordpress-only]
  geography: [US, UK, Canada, Australia]
  pain_signals:                     # problems they're likely facing
    - "manual data entry"
    - "compliance overhead"
    - "scaling operations"
    - "document processing"

买家画像(Buyer Persona)

persona:
  titles: [CEO, CTO, COO, VP Operations, Head of Innovation, Director of IT]
  seniority: [C-Suite, VP, Director]
  decision_authority: true          # can sign $50K+ without board approval
  linkedin_activity:                # signals they're actively looking
    - posts about AI/automation
    - comments on digital transformation content
    - recently changed roles (first 90 days = buying window)
  anti-signals:                     # skip these
    - "consultant" in title (not buyers)
    - company < 10 employees (no budget)
    - already has AI vendor (check for competitors in their stack)

评分标准(Scoring Criteria)

scoring:
  icp_company_match: 30             # how well company matches
  icp_persona_match: 20             # right title + seniority
  intent_signals: 25                # actively looking for solutions
  engagement_recency: 15            # recent activity online
  timing_bonus: 10                  # new role, funding round, hiring
  
  thresholds:
    tier_a: 80                      # hot — outreach immediately
    tier_b: 60                      # warm — nurture sequence
    tier_c: 40                      # cool — add to newsletter
    disqualify: below 40            # don't waste time

第二阶段:多渠道信息收集

来源优先级矩阵(Source Priority Matrix)

来源 适合对象 搜索方法 数据质量 成本
网络搜索 任何行业 "[行业] companies" site:linkedin.com/company 免费
GitHub 开发工具公司、科技企业 搜索代码库、组织页面、贡献者资料 免费
产品发布信息 初创企业、SaaS公司 浏览新产品发布信息、点赞用户(他们可能是潜在买家) 中等 免费
行业榜单 目标行业内的领先企业 “2026年[行业]前50强企业”,Clutch、G2 免费
招聘网站 招聘活跃的公司 搜索包含“AI”或“自动化”关键词的职位信息 免费
Crunchbase 获得融资的初创企业 目标行业内的最新融资企业 免费/付费
会议演讲者 行业内的知名人士 从行业活动中获取演讲者名单 非常高 免费
播客嘉宾 有预算的思想领袖 搜索相关播客的文字记录 免费

信息收集模板

通过业务痛点查找潜在客户:

"[industry]" "manual process" OR "time-consuming" OR "looking for solutions" site:linkedin.com

通过招聘活动寻找潜在客户(招聘活跃的企业通常有购买需求):

"[company type]" "hiring" "AI" OR "automation" OR "data" site:linkedin.com/jobs

寻找最近获得融资的企业(资金充足):

"[industry]" "raises" OR "Series A" OR "funding" OR "investment" 2026

寻找使用竞争对手产品的企业(适合推荐替代方案):

"[competitor tool]" "alternative" OR "switching from" OR "replaced"

直接联系决策者:

"[title]" "[industry]" "[city/region]" site:linkedin.com/in

信息收集工作流程(Discovery Workflow)

FOR each search query:
  1. Run web_search with the query
  2. Extract company names + URLs from results
  3. Deduplicate against existing leads
  4. For each NEW company:
     a. Visit company website → extract: industry, size estimate, tech signals
     b. Search "[company name] CEO" OR "[company name] founder" → get decision maker
     c. Search "[company name] funding" → get financial signals
     d. Create lead record (see schema below)
  5. Rate limit: 2-3 second delay between searches

第三阶段:数据补充(Enrichment)

对每个发现的潜在客户进行数据补充,确保信息的准确性:

公司信息补充 checklist

  • 网站 — 加载公司主页,提取核心价值主张和技术栈(检查<meta>标签、JavaScript框架)
  • 员工人数 — 从LinkedIn公司页面、Crunchbase或公司“关于”页面获取
  • 收入预估 — 根据融资金额乘以3-5的倍数估算,或参考行业平均水平
  • 技术栈 — 查看BuiltWith、Wappalyzer的数据,或招聘信息中的技术相关内容
  • 最新动态 — 过去90天内的融资、新产品发布、高管变动、合作伙伴关系
  • 业务痛点 — 招聘信息中提到的问题,或博客文章中讨论的挑战
  • 竞争对手使用情况 — 该公司是否使用竞争对手的产品?使用的是哪家?(参考G2的评论和案例研究)

联系人信息补充 checklist

  • 全名 — 从LinkedIn或公司页面获取名字和姓氏
  • 职位 — 当前职位(确认与买家画像匹配)
  • 电子邮件格式 — 分析公司常用的电子邮件格式(如first@、first.last@、firstlast@、f.last@)
  • 电子邮件验证 — 用已知格式测试邮件地址,检查MX记录
  • LinkedIn链接 — 获取公司的LinkedIn个人资料链接
  • 近期活动 — 过去30天内发布或分享的内容
  • 共同联系人 — 您的人脉中是否有与该联系人关联的人?
  • 兴趣领域 — 他们关注哪些主题?(用于个性化沟通)

电子邮件格式检测(Email Pattern Detection)

Common patterns (test in order of likelihood):
1. first.last@company.com     (most common, ~40%)
2. first@company.com          (startups, ~25%)
3. firstlast@company.com      (~15%)
4. flast@company.com           (~10%)
5. first_last@company.com     (~5%)
6. last.first@company.com     (~3%)
7. first.l@company.com        (~2%)

Verification approach:
- Check if company has public team page with email format
- Look for email in GitHub commits from company domain
- Check email format on Hunter.io or similar (if available)
- Search "[person name] email [company]" 
- Check their personal website/blog for contact

第四阶段:潜在客户评分算法

使用以下标准对每个潜在客户进行0-100分的评分:

公司评分(0-30分)

评分标准 分数 检查方法
行业与理想客户画像完全匹配 +10 与ICP配置对比
员工人数在理想范围内 +5 从LinkedIn或公司网站获取
收入在目标范围内 +5 根据Crunchbase数据或预估
位于目标地理位置 +3 从网站或LinkedIn获取
使用兼容的技术栈 +4 从招聘信息或BuiltWith工具获取
当前没有使用竞争对手产品 +3 通过调研和案例研究确认

买家画像评分(0-20分)

评分标准 分数 检查方法
职位与买家画像匹配 +8 从LinkedIn获取
担任高管或副总裁级别 +5 从LinkedIn获取
具有决策权 +4 根据职位和公司规模判断
在LinkedIn上活跃(每月有发文) +3 从LinkedIn活动记录判断

意图评分(0-25分)

评分标准 分数 检查方法
最近发布过与业务痛点相关的内容 +8 从LinkedIn或Twitter获取
公司正在招聘您提供的职位 +7 从招聘网站获取
参加过相关行业活动 +5 从会议列表获取
下载过竞争对手的产品资料 +3 难以验证,可忽略
搜索过相关解决方案 +2 难以验证,可忽略

时间评分(0-15分)

评分标准 分数 检查方法
新上任(任职时间<90天) +5 从LinkedIn获取任职日期
公司刚获得融资 +4 从Crunchbase或新闻获取
季末(预算充足) +3 根据日历判断
公司发展迅速(招聘活跃) +3 从招聘信息数量判断

互动评分(0-10分)

评分标准 分数 检查方法
打开了之前的邮件 +4 通过邮件跟踪系统确认
访问过您的网站 +3 通过分析系统确认
与您在LinkedIn上建立了联系 +2 从LinkedIn记录确认
由他人推荐 +1 从CRM系统记录确认

第五阶段:客户分类与营销策略分配

A级潜在客户(评分80-100分)—— 高价值潜在客户

Action: Immediate personalized outreach
Sequence: 5-touch hyper-personalized campaign
Timeline: Contact within 24 hours
Channel: Email → LinkedIn → Phone (if available)
Template: "CEO-to-CEO" or "Specific Pain" (see below)

B级潜在客户(评分60-79分)—— 中等价值潜在客户

Action: Nurture sequence
Sequence: 7-touch value-first campaign  
Timeline: Start within 48 hours
Channel: Email → LinkedIn
Template: "Value Insight" or "Case Study" (see below)

C级潜在客户(评分40-59分)—— 低价值潜在客户

Action: Add to newsletter + long-term nurture
Sequence: Monthly value content
Timeline: Bi-weekly touchpoints
Channel: Email only
Template: "Industry Report" or "Educational" (see below)

第六阶段:营销沟通模板

模板1:针对具体业务痛点的沟通策略(A级潜在客户)

邮件1 — 第0天(吸引注意)

Subject: [specific pain point] at [Company]?

Hi [First Name],

Noticed [Company] is [specific observation — hiring for X role / posted about Y challenge / using Z tool].

That usually means [pain point they're likely feeling].

We built [solution] that [specific result with number]. [Client name] cut their [metric] by [X%] in [timeframe].

Worth a 15-min call to see if it fits [Company]?

[Your name]

邮件2 — 第3天(提供证据)

Subject: Re: [original subject]

[First Name] — quick follow-up.

Here's exactly what we did for [similar company]: [1-sentence case study with specific numbers].

[Link to case study or calculator]

Happy to walk through how this maps to [Company].

[Your name]

邮件3 — 第7天(深入探讨)

Subject: [industry trend] + [Company]

[First Name],

[Industry trend or stat that's relevant]. Companies like [Company] are [what smart companies are doing about it].

We help [type of company] [specific outcome]. Takes about [timeframe] to see results.

Open to a quick chat this week?

[Your name]

邮件4 — 第14天(结束沟通)

Subject: Should I close your file?

[First Name],

I've reached out a few times — totally understand if the timing isn't right.

If [pain point] becomes a priority, here's a [free resource] that might help: [link]

Either way, I'll stop filling your inbox. Just reply "yes" if you'd like to chat sometime.

[Your name]

模板2:以价值为导向的沟通策略(B级潜在客户)

邮件1 — 首先提供有价值的见解,而非直接推销产品

Subject: [number] [industry] companies are doing [thing] wrong

Hi [First Name],

We analyzed [X] companies in [industry] and found that [surprising insight].

The ones getting it right are [what top performers do differently].

Put together a quick breakdown: [link to free resource/calculator]

Thought it'd be useful given what [Company] is building.

[Your name]

模板3:LinkedIn预热策略

步骤1:查看他们的个人资料(触发通知) 步骤2(第2天):对他们最近发布的帖子点赞/评论(真诚且非泛泛而谈) 步骤3(第4天):发送联系请求,并附上说明:

Hi [Name] — been following [Company]'s work in [space]. 
Particularly liked your take on [specific post topic]. 
Would love to connect.

步骤4(收到回复后第7天):发送有价值的信息(而非推销内容):

[Name] — saw you mentioned [challenge] in your recent post. 
We put together [free resource] that addresses exactly that. 
Thought you might find it useful: [link]

第七阶段:客户关系管理(CRM)与销售流程管理

潜在客户记录结构(Lead Record Schema)

{
  "id": "lead-001",
  "created": "2026-02-13",
  "source": "web-search",
  
  "company": {
    "name": "Acme Corp",
    "website": "https://acme.com",
    "industry": "SaaS",
    "employees": 150,
    "revenue_est": "$20M",
    "funding": "Series B — $15M (2025)",
    "tech_stack": ["Salesforce", "AWS", "React"],
    "location": "San Francisco, CA"
  },
  
  "contact": {
    "first_name": "Jane",
    "last_name": "Smith",
    "title": "VP of Operations",
    "email": "jane.smith@acme.com",
    "email_verified": false,
    "linkedin": "https://linkedin.com/in/janesmith",
    "phone": null
  },
  
  "scoring": {
    "company_score": 25,
    "persona_score": 18,
    "intent_score": 15,
    "timing_score": 8,
    "engagement_score": 0,
    "total": 66,
    "tier": "B"
  },
  
  "enrichment": {
    "pain_signals": ["hiring 3 data analysts", "blog about manual reporting"],
    "recent_news": ["Raised Series B in Jan 2026"],
    "competitor_usage": "None detected",
    "content_interests": ["data automation", "operational efficiency"]
  },
  
  "outreach": {
    "status": "not_started",
    "sequence": "value-first",
    "emails_sent": 0,
    "last_contacted": null,
    "next_action": "2026-02-14",
    "replies": [],
    "notes": ""
  },
  
  "pipeline": {
    "stage": "prospect",
    "deal_value": null,
    "probability": 0,
    "next_step": "Initial outreach"
  }
}

销售流程阶段(Pipeline Stages)

PROSPECT → CONTACTED → REPLIED → MEETING_BOOKED → QUALIFIED → PROPOSAL → NEGOTIATION → CLOSED_WON / CLOSED_LOST

监控指标(Tracking Metrics)

每周监控以下指标以优化销售流程:

  • 发现率:每次搜索会话发现的潜在客户数量
  • 数据补充完成率:每个潜在客户的字段填写完成率
  • 客户分类比例:A级、B级、C级各占多少?
  • 回复率:收到的回复数/发送的邮件数(目标:5-15%)
  • 会议转化率:会议次数/收到的回复数(目标:30-50%)
  • 成交率:达成交易的潜在客户数/会议次数(目标:20-30%)
  • 销售周期:从发现潜在客户到完成交易的平均天数

第八阶段:自动化与日程安排

日常自动化流程(Daily Autopilot Routine)

MORNING (agent runs autonomously):
  1. Run 3-5 discovery searches (rotate queries)
  2. Enrich any un-enriched leads from yesterday
  3. Score new leads
  4. Send Day-N emails for active sequences
  5. Check for replies → flag for human review
  6. Update pipeline stages
  7. Report: "Found X leads, sent Y emails, Z replies"

WEEKLY:
  1. Review Tier C leads — any moved to B/A?
  2. Clean dead leads (no response after full sequence)
  3. Analyze response rates by template — A/B test
  4. Refresh ICP based on closed deals
  5. Add new search queries based on wins

与销售代理的集成(Agent Integration)

# In your agent's heartbeat or cron:
1. Load ICP config
2. Run discovery for 1 search query
3. Enrich top 5 new leads
4. Score all unscored leads
5. Queue outreach for Tier A leads
6. Log results to daily brief

输出格式

CSV导出(Export Formats)

company,contact,title,email,linkedin,score,tier,industry,employees,pain_signal
Acme Corp,Jane Smith,VP Ops,jane@acme.com,linkedin.com/in/jane,66,B,SaaS,150,hiring analysts

周报模板(Weekly Report Template)

# Lead Hunter Weekly Report — Week of [DATE]

## Pipeline Summary
- Total leads in system: [N]
- New leads this week: [N]  
- Tier A: [N] | Tier B: [N] | Tier C: [N]

## Outreach Performance
- Emails sent: [N]
- Reply rate: [X%]
- Meetings booked: [N]
- Pipeline value added: $[X]

## Top Leads This Week
1. [Company] — [Contact] — Score: [X] — [Why they're hot]
2. [Company] — [Contact] — Score: [X] — [Why they're hot]
3. [Company] — [Contact] — Score: [X] — [Why they're hot]

## Insights
- Best performing search query: [query]
- Best performing email template: [template]
- Recommendation: [action to take]

专业建议

  1. 90天黄金期:新上任的高管在入职前90天内购买产品的概率是平时的10倍。优先关注“新上任”这一信号。
  2. 招聘活动 = 购买需求:如果一家公司正在招聘您产品所替代的职位,说明他们有购买意愿且预算充足。这些是最高价值的潜在客户。
  3. 竞争对手的客户:搜索关于竞争对手的评论或投诉信息。不满意的客户最有可能更换产品。
  4. 行业会议名单:行业活动的演讲者和参与者名单非常有用。这些人通常对该领域非常关注。
  5. “回复任何信息”原则:任何回复(即使表示“不感兴趣”)都很有价值。这可以确认邮件已送达且目标客户确实存在。请记录下来。
  6. 个性化沟通 > 数量:20封高度个性化的邮件比200封泛泛而谈的邮件效果更好。务必在邮件中提及潜在客户的特定需求。
  7. 多渠道沟通:不要只依赖与每个公司的单一联系人联系。寻找2-3位决策者,并从不同角度进行沟通。
  8. 沟通时机很重要:当地时间周二至周四上午8-10点是打开邮件的高峰期。避免周一和周五。

AfrexAI开发——真正能促成销售的AI销售工具。

Install via CLI
npx skills add https://github.com/AgentWorkers/skills --skill afrexai-lead-hunter
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