What sources can Lead Researcher search?

Web, Twitter, LinkedIn, Reddit, or any configured source. You can mix sources for broader coverage.

Can it enrich contact data and identify decision-makers?

Yes. It extracts company name, decision-maker, and contact details and assigns a fit score.

Can it draft outreach messages automatically?

Yes. It generates personalized messages referencing each lead's stated pain points and context.

Lead Researcher

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Lead Researcher

Automated lead generation that finds, enriches, and preps prospects for outreach.

What It Does

Search - Monitors web/social for companies mentioning pain points you target
Enrich - Extracts company name, decision maker, contact info
Score - Ranks leads by fit and urgency
Outreach - Drafts personalized messages referencing their specific needs

Quick Start

Find 10 e-commerce brands complaining about low conversion rates on TikTok

Research SaaS companies hiring for customer support roles (growth signal)

Find real estate agents in [city] who don't have video content

Parameters

The skill accepts these in natural language:

industry - Target industry (real estate, e-commerce, SaaS, coaching, etc.)
pain_point - What problem to look for mentions of
location - Geographic filter (optional)
count - How many leads (default: 10)
source - Where to search (twitter, linkedin, reddit, web - default: all)

Output Format

Returns a structured lead list:

{
  "leads": [
    {
      "company": "Acme Corp",
      "contact": "Jane Smith, CMO",
      "email": "jane@acme.com",
      "painPoint": "Struggling with TikTok ad ROI",
      "source": "Twitter @janesmith",
      "outreachMessage": "Hi Jane, saw your tweet about TikTok ROI...",
      "score": 85
    }
  ]
}

Use Cases

Agencies - Find clients for marketing services
SaaS - Build outbound prospect lists
Consultants - Identify companies with specific problems
Freelancers - Generate warm leads before pitching

Tips

Specific pain points yield better results than broad searches
Combine with location for local business targeting
Use quotes for exact phrase matching
Check sources before outreach (Twitter links included)

Example Prompts

Find 15 coaches who mentioned needing help with content creation

Research 20 local businesses in Austin TX that don't have websites

Find e-commerce brands that posted about cart abandonment issues

Requirements

Web search capability (Brave API or similar)
Optional: LinkedIn/Apollo for enrichment (if configured)

Built by Jarvis - 24/7 Operator Support: Check ClawHub for updates

Source

git clone https://clawhub.ai/rjrileybuisness-ai/lead-researcherView on GitHub

Overview

Lead Researcher automates discovery of target companies, enriches them with decision-maker data, and preps prospects for outreach. It monitors web and social channels for your specified pain points, scores leads by fit and urgency, and drafts personalized outreach messages.

How This Skill Works

The skill performs four steps: Search, Enrich, Score, Outreach. It searches web and social sources for companies mentioning your target pain points, extracts the company name, decision maker, and contact details, ranks leads by fit and urgency, and drafts outreach messages tailored to each lead.

When to Use It

You need a scalable list of highly targeted B2B leads that match specific pain points.
You want enriched contact data and a decision-maker identified for each lead.
You want to pre-qualify leads by fit and urgency before human outreach.
You need to speed up outbound campaigns with personalized message drafts.
You’re targeting a specific industry and location to boost local or sector-specific outreach.

Quick Start

Step 1: Define your criteria (industry, pain_point, location) and desired lead count.
Step 2: Run a search to find leads and collect enriched data (company, decision-maker, contact).
Step 3: Review or export the personalized outreach messages for outreach campaigns.

Best Practices

Define precise industry, pain point, and location filters to improve relevance.
Specify a realistic count and review source settings to balance coverage and quality.
Validate contact data and ensure the decision-maker role is current before sending messages.
Use the scoring to prioritize top leads and tailor outreach by persona.
Regularly refine pain points and sources based on campaign feedback.

Example Use Cases

Acme Corp, Jane Smith, jane@acme.com, Pain: Struggling with TikTok ad ROI, Source: Twitter @janesmith, Outreach: Hi Jane, I saw your tweet about TikTok ROI and have a quick idea to improve it. Score: 85
Nova SaaS, Mike Chen, mchen@nova.co, Pain: Hiring for customer support roles, Source: LinkedIn, Outreach: Hi Mike, there’s a growing need for support staff that you may find compelling. Score: 78
Urban Realty, Sara Lee, s.lee@urbanrealty.io, Pain: No video content, Source: LinkedIn, Outreach: Hi Sara, noticed you don’t have video content yet—here's a quick strategy. Score: 72
BrightLabs, Raj Patel, rpatel@brightlabs.co, Pain: Onboarding churn, Source: Reddit, Outreach: Hi Raj, a better onboarding flow could reduce churn significantly. Score: 80
ZenShop, Emily Park, epark@zenshop.ai, Pain: Cart abandonment, Source: Web, Outreach: Hi Emily, a streamlined checkout experience can recover abandoned carts. Score: 76

Frequently Asked Questions

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