Enrich Lead

作者 apolloiobd0513c961f0無授權條款28 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫3 週前更新

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 產生的概覽

根據姓名、公司、LinkedIn 連結或電子郵件,透過 Apollo MCP 工具將潛在客戶補全為完整聯絡人卡片。

功能
解析姓名、公司、LinkedIn 連結或電子郵件等識別資訊,接著呼叫 Apollo MCP 工具比對人物並補全其公司資料。它會輸出格式化的聯絡人卡片,包含電子郵件、電話、所在地、LinkedIn,以及產業、員工數、營收、募資、總部等公司資訊。之後提供後續操作選項,例如將聯絡人儲存至 Apollo、加入序列,或尋找同事與相似人物。
適用情境
當你握有某人的部分身分資訊,並希望取得一份整合的聯絡人檔案時使用。適合在接觸對方前需要確認聯絡方式與公司背景的業務或招募研究情境。
執行需求
需要存取 Apollo MCP 工具(人物比對、混合人物搜尋、組織資料補全、建立聯絡人),以及具備額度的 Apollo 帳戶,因為補全操作會消耗 1 個 Apollo 額度。不附帶指令碼,僅為指示說明。

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

來源與署名

來源:apolloio/apollo-mcp-plugin位於skills/enrich-lead提交bd0513c

授權條款: 無授權條款

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