Automated B2B Prospecting & Qualification

This skill transforms your AI agent into a sophisticated lead generation engine. It automates the entire funnel: from identifying your Ideal Customer Profile (ICP) to researching, scraping, and qualifying prospects based on data-driven scoring models.

What it does

• Target Definition: Establishes industry, location, and business size parameters.
• Multi-Source Research: Orchestrates searches across Google Maps, LinkedIn, industry directories, and web listings.
• Data Extraction: Systematically collects contact info, social profiles, and decision-maker names.
• Lead Qualification: Applies a custom scoring algorithm (1-10) based on digital presence, SEO health, and company metadata.
• Structured Output: Delivers clean, CSV-ready datasets with integrated outreach templates.

Why use this skill?

Manual lead sourcing is tedious and error-prone. While a standard LLM might hallucinate contact info, this skill enforces a rigorous research workflow that prioritizes verifiable data. It doesn't just find names; it identifies pain points (like poor SEO or missing social presence) to give you a strategic opening for your pitch.

Supported Outputs

Output is provided as a structured CSV or table including Business Name, Phone, Verified Email, Website URL, Owner/Manager details, and a Qualification Score.