lead-research-assistant

name	lead-research-assistant
description	Researches and qualifies sales leads by defining an ideal customer profile, searching for matching companies, scoring fit, and generating personalized outreach strategies with decision-maker contacts. Use when asked to find leads, prospect companies, identify potential customers, do lead generation, build a pipeline, research target accounts, find outreach targets, or identify ICP matches.

Lead Research Assistant

Research and qualify potential leads for a given product or service. Produce a scored, prioritized list of target companies with decision-maker contacts and personalized outreach strategies.

Workflow

1. Understand the offering

• If inside a code repository, read the README and key source files to infer the product.
• Clarify: what problem does it solve, for whom, and what is the core value proposition?
• Confirm the user's target market constraints (industry, geography, company size, budget range).

2. Define the Ideal Customer Profile (ICP)

Produce a short ICP summary covering:

Dimension	Detail
Industry / sector	e.g., fintech, healthtech
Company size	employee count or revenue band
Geography	target regions
Pain points	problems the offering addresses
Tech signals	relevant stack, tools, or platforms
Budget indicators	funding stage, revenue tier

Checkpoint: confirm the ICP with the user before researching.

3. Research and identify leads

Use web search to find companies matching the ICP. For each candidate:

• Verify the company is active (recent news, job postings, social presence).
• Look for need signals: relevant job listings, tech stack mentions, recent funding, expansion announcements.
• Identify the decision-maker role (e.g., VP Engineering, Head of Security) and locate their LinkedIn profile when possible.
• Cross-check at least two sources before including a lead.

Checkpoint: if fewer than half the requested leads pass verification, widen search criteria and inform the user.

4. Score and prioritize

Assign each lead a fit score (1-10) based on:

• ICP alignment (industry, size, geography)
• Strength of need signals
• Budget likelihood
• Competitive gap (no incumbent solution visible)
• Timing (recent trigger events)

Sort leads by score descending.

5. Produce the output

Use this template for each lead:

## [Company Name]

**Website:** [URL]
**Score:** [X/10] - [one-line rationale]
**Industry:** [sector] | **Size:** [employees/revenue] | **Location:** [HQ]

**Why they fit:** [2-3 sentences citing specific evidence]

**Decision-maker:** [Title] - [Name if found] | [LinkedIn URL if available]

**Outreach angle:**
- Reference: [specific company event, pain point, or public statement]
- Value hook: [how the offering solves their specific problem]
- Opener: [one concrete conversation starter]

Prefix the list with a summary table:

# Lead Research Results

| # | Company | Score | Industry | Decision-maker |
|---|---------|-------|----------|----------------|
| 1 | ...     | 9/10  | ...      | ...            |

6. Offer next steps

After presenting results:

• Offer to export as CSV for CRM import.
• Offer to draft personalized outreach emails for top-scored leads.
• Suggest deeper research on any lead the user flags.