Enrich Lead

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

| Field | Detail |

|---|---|

| Email (work) | ... |

| Email (personal) | ... (if revealed) |

| Phone (direct) | ... |

| Phone (mobile) | ... |

| Phone (corporate) | ... |

| Location | City, State, Country |

| LinkedIn | URL |

| Company Domain | ... |

| Company Revenue | Range |

| Company Funding | Total raised |

| Company HQ | Location |

Step 5 — Offer Next Actions

Ask the user which action to take:

• Save to Apollo — Create this person as a contact via mcp__claude_ai_Apollo_MCP__apollo_contacts_create with run_dedupe: true
• Add to a sequence — Ask which sequence, then run the sequence-load flow
• 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
• Find similar people — Search for people with the same title/seniority at other companies