---

name: enrich-lead description: "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." user-invocable: true argument-hint: "[name, company, LinkedIn URL, or email]"

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 sarah@stripe.com
• /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:

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[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 |

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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