/enrich-lead

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:

---

**[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:

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