Enrich Lead

作者 apolloiobd0513c961f0无许可证28 个星标收录于 2026年10月8日更新于 2026年10月8日仓库3周前更新

Instant lead enrichment. Drop a name, company, LinkedIn URL, or email and get the full contact card with email, phone, title, company intel, and next actions.

AI 生成的概览

根据姓名、公司、LinkedIn 链接或邮箱,借助 Apollo MCP 工具将线索补全为完整联系人卡片。

功能
解析姓名、公司、LinkedIn 链接或邮箱等标识信息,然后调用 Apollo MCP 工具匹配人物并补全其公司信息。它会输出格式化的联系人卡片,包含邮箱、电话、所在地、LinkedIn 以及行业、员工数、营收、融资、总部等公司信息。随后提供后续操作选项,例如将联系人保存到 Apollo、加入序列,或查找同事及相似人物。
适用场景
当你掌握某人的部分身份信息,并希望获得一份整合的联系人档案时使用。适用于销售或招聘调研,在联系对方前需要核实联系方式与公司背景的场景。
运行要求
需要访问 Apollo MCP 工具(人物匹配、混合人物搜索、组织信息补全、创建联系人)以及具备额度的 Apollo 账户,因为补全操作会消耗 1 个 Apollo 额度。不附带脚本,仅为指令说明。

Enrich Lead

Turn any identifier into a full contact dossier. The user provides identifying info via "$ARGUMENTS".

Examples

  • /apollo:enrich-lead Tim Zheng at Apollo
  • /apollo:enrich-lead https://www.linkedin.com/in/timzheng
  • /apollo:enrich-lead [email protected]
  • /apollo:enrich-lead Jane Smith, VP Engineering, Notion
  • /apollo:enrich-lead CEO of Figma

Step 1 — Parse Input

From "$ARGUMENTS", extract every identifier available:

  • First name, last name
  • Company name or domain
  • LinkedIn URL
  • Email address
  • Job title (use as a matching hint)

If the input is ambiguous (e.g. just "CEO of Figma"), first use mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with relevant title and domain filters to identify the person, then proceed to enrichment.

Step 2 — Enrich the Person

Credit warning: Tell the user enrichment consumes 1 Apollo credit before calling.

Use mcp__claude_ai_Apollo_MCP__apollo_people_match with all available identifiers:

  • first_name, last_name if name is known
  • domain or organization_name if company is known
  • linkedin_url if LinkedIn is provided
  • email if email is provided
  • Set reveal_personal_emails to true

If the match fails, try mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with looser filters and present the top 3 candidates. Ask the user to pick one, then re-enrich.

Step 3 — Enrich Their Company

Use mcp__claude_ai_Apollo_MCP__apollo_organizations_enrich with the person's company domain to pull firmographic context.

Step 4 — Present the Contact Card

Format the output exactly like this:


[Full Name] | [Title] [Company Name] · [Industry] · [Employee Count] employees

FieldDetail
Email (work)...
Email (personal)... (if revealed)
Phone (direct)...
Phone (mobile)...
Phone (corporate)...
LocationCity, State, Country
LinkedInURL
Company Domain...
Company RevenueRange
Company FundingTotal raised
Company HQLocation

Step 5 — Offer Next Actions

Ask the user which action to take:

  1. Save to Apollo — Create this person as a contact via mcp__claude_ai_Apollo_MCP__apollo_contacts_create with run_dedupe: true
  2. Add to a sequence — Ask which sequence, then run the sequence-load flow
  3. Find colleagues — Search for more people at the same company using mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with q_organization_domains_list set to this company
  4. Find similar people — Search for people with the same title/seniority at other companies

来源与署名

来源:apolloio/apollo-mcp-plugin位于skills/enrich-lead提交bd0513c

许可证: 无许可证

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