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Case study · 2026

LeadScout AI

Done-for-you B2B lead research delivered as structured, outreach-ready CSV rows.

Founders do not need another database subscription. They need a short list of real prospects with context they can use in an email today.

Research workflowValidation checksCSV delivery
LeadScout AI screenshot

Why I built LeadScout AI

Most lead tools optimize for volume. Buyers still spend hours cleaning exports, guessing fit, and writing first lines from thin context.

LeadScout AI is a done-for-you research service: I take an ideal customer profile, find prospects that match, and return structured rows with the fields a founder or SDR actually uses.

What each lead includes

  • Name, role, and company
  • LinkedIn and website when available
  • A short fit summary
  • A suggested outreach angle

How the workflow is structured

  1. Intake — Capture the ICP, geography, company size, and exclusions up front.
  2. Research + validation — Manual discovery with checks so rows are usable, not just populated.
  3. Delivery — CSV formatted for import into a CRM or a simple outbound spreadsheet.

Outcome

Built a practical research pipeline that turns a fuzzy ICP into delivery-ready prospect data without asking the buyer to learn new software.

LeadScout AI | Case Study by Orlando Ascanio