Generate Leads Command

Generate qualified leads based on ideal customer profile (ICP) criteria with enriched contact information and buying signals.

Command Syntax

/sales-prospecting:generate-leads --criteria <criteria> --count <number> --enrich <level>

Parameters

--criteria: ICP definition (industry, size, tech stack, location, etc.)
--count: Number of leads to generate (default: 20)
--enrich: Enrichment level (basic|standard|comprehensive)
--intent: Include intent signals (true|false, default: true)
--contacts: Number of contacts per account (default: 3)
--format: Output format (csv|json|salesforce|hubspot)

Examples

Basic Lead Generation

/sales-prospecting:generate-leads --criteria "SaaS companies, 50-500 employees, using Salesforce"

Comprehensive Account Research

/sales-prospecting:generate-leads \
  --criteria "Financial services, >$100M revenue, Northeast US" \
  --count 50 \
  --enrich comprehensive \
  --contacts 5

Intent-Based Targeting

/sales-prospecting:generate-leads \
  --criteria "Recently funded B2B companies" \
  --intent true \
  --enrich standard

Process Flow

Define ICP Parameters
- Parse criteria into searchable filters
- Validate parameter compatibility
- Set enrichment requirements
Initial Discovery
- Query data sources for matching companies
- Apply filtering and scoring logic
- Rank by fit score
Contact Discovery
- Identify decision makers and influencers
- Map buying committee structure
- Verify contact information
Data Enrichment
- Append firmographic data
- Add technographic insights
- Include intent signals and triggers
- Calculate lead scores
Output Generation
- Format according to specification
- Include research notes and insights
- Generate outreach recommendations

Output Schema

Standard Lead Record

{
  "company": {
    "name": "Acme Corp",
    "domain": "acme.com",
    "industry": "Software",
    "size": 250,
    "revenue": "$50M",
    "location": "San Francisco, CA",
    "growth_rate": "45%"
  },
  "contacts": [
    {
      "name": "John Smith",
      "title": "VP Sales",
      "email": "[email protected]",
      "linkedin": "linkedin.com/in/johnsmith",
      "phone": "+1-415-555-0100",
      "role": "Decision Maker"
    }
  ],
  "technology": {
    "crm": "Salesforce",
    "marketing": "HubSpot",
    "relevant_tools": ["Slack", "Zoom", "Google Workspace"]
  },
  "signals": {
    "intent_score": 82,
    "buying_signals": [
      "Researching competitors",
      "Downloaded pricing guides",
      "Attending industry events"
    ],
    "trigger_events": [
      "New VP Sales hired 2 months ago",
      "Series B funding closed"
    ]
  },
  "recommendations": {
    "approach": "Reference their recent funding and expansion plans",
    "value_prop": "Focus on scalability and integration with Salesforce",
    "timing": "High - active buying cycle"
  }
}

Enrichment Levels

Basic

Company name, website, industry
Basic size and location data
1-2 contacts with titles
Lead score

Standard

All basic fields plus:
Revenue and growth data
3-4 contacts with full details
Technology stack overview
Key buying signals

Comprehensive

All standard fields plus:
Full buying committee mapping
Detailed technographic profile
Intent data and signals
Competitive intelligence
Personalized outreach recommendations
Account research brief

Integration Options

CRM Export

# Direct to Salesforce
/sales-prospecting:generate-leads --criteria "..." --format salesforce

# HubSpot compatible
/sales-prospecting:generate-leads --criteria "..." --format hubspot

Sales Engagement

# Outreach.io format
/sales-prospecting:generate-leads --criteria "..." --format outreach

# SalesLoft format
/sales-prospecting:generate-leads --criteria "..." --format salesloft

Advanced Options

Exclusion Lists

--exclude-companies "competitor1.com,competitor2.com"
--exclude-existing true  # Skip current CRM records

Scoring Customization

--scoring-model "enterprise"  # Use enterprise scoring model
--minimum-score 70  # Only include leads scoring 70+

Geographic Targeting

--location "San Francisco Bay Area"
--timezone "PST"
--language "English"

Best Practices

Start Narrow: Begin with specific criteria and expand based on results
Validate ICP: Test initial results against known good customers
Iterate Quickly: Refine criteria based on response rates
Track Performance: Monitor which criteria generate best leads
Regular Refresh: Re-run monthly to catch new matches

Error Handling

No matches found: Broaden criteria or adjust filters
Too many results: Add more specific criteria
Missing data: Adjust enrichment level or data sources
Rate limits: Batch processing for large requests

Execution model: claude-haiku-4-5 for data processing, claude-sonnet-4 for insights generation

Generate Leads