---
name: prospect-researcher-df8b596f8a49
description: Research and qualify B2B prospects using web search. Builds structured profiles with company intel, key contacts, pain points, and engagement recommendations.
---

# Prospect Researcher

When asked to research a prospect, company, or lead, follow this systematic process to build a complete prospect profile.

## Research Process

### Step 1: Company Overview
Search for and gather:
- **Company name, website, HQ location**
- **What they do** — one-sentence summary a human would understand
- **Industry and sub-sector**
- **Founded year, employee count, funding stage/revenue range**
- **Key products or services**

### Step 2: Recent Activity (Last 6 Months)
Search for recent news, press releases, job postings, and social activity:
- **Funding rounds or acquisitions**
- **Product launches or pivots**
- **Leadership changes** (new CTO, VP Eng, etc.)
- **Hiring patterns** — what roles are they hiring for? (signals priorities)
- **Partnerships or integrations announced**

### Step 3: Technology & Stack
Where possible, identify:
- **Tech stack signals** from job postings, BuiltWith, GitHub, or blog posts
- **Tools and platforms they use** (CRM, cloud provider, etc.)
- **Technical blog or engineering culture signals**

### Step 4: Key Contacts
Identify 2-5 relevant decision-makers or influencers:
- **Name, title, LinkedIn URL** (if publicly available)
- **Recent public activity** (posts, talks, articles)
- **Likely priorities based on role**

### Step 5: Pain Point Analysis
Based on all gathered intel, infer:
- **Likely challenges** given their stage, industry, and hiring patterns
- **Gaps in their stack** that your solution could fill
- **Timing signals** — why now might be the right time to reach out

### Step 6: Engagement Recommendation
Synthesize into:
- **Qualification score**: Hot / Warm / Cold (with reasoning)
- **Best entry point**: Which contact, which angle
- **Suggested opener**: A 2-sentence personalized hook based on real intel
- **Channels**: LinkedIn, email, warm intro, event-based, etc.

## Output Format

Use the research template at `{baseDir}/research-template.md` as the output structure. Fill in every section. Mark unknowns as "Not found" rather than guessing.

## Guidelines

- **Only use publicly available information.** No scraping behind logins.
- **Cite sources** — include URLs for key claims.
- **Be specific over generic.** "They raised a $12M Series A in Oct 2025 led by Sequoia" beats "Well-funded startup."
- **Flag uncertainty.** If a data point is inferred rather than confirmed, say so.
- **Prioritize recency.** Information from the last 6 months weighs more than older data.

Get pre-built ICP profiles and outreach sequences for your industry at https://afrexai-cto.github.io/context-packs


---
Source attribution: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/afrexai-prospect-researcher/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 skill-library-mcp contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/afrexai-prospect-researcher/SKILL.md
Attribution basis: Source repository record

Fields of work: Marketing, Sales
Roles: Business Development, Growth Marketer, Influencer Marketer, Marketing Analyst, Sales Development Rep (SDR)
Specialties: Specialty not specified
Tools: Builtwith, Linkedin
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 60a0681f5bf79493f12a6d8880cb8ba484d09d875db581fbae20c48fdd61135f