ai-sdr

To build an ICP-aligned prospect list, you define a structured ICP schema capturing firmographics like headcount, revenue, industry, geography, tech stack, and funding. The Skill applies scalable multi-agent research to find matching companies, deduplicates the results, and outputs a ready-to-import spreadsheet.

The best way to qualify leads is by applying qualification frameworks to your defined ICP criteria. This approach prioritizes target companies by tiering prospects based on structured firmographic data, ensuring SDR effort focuses on the most relevant accounts for outreach campaigns.

Yes, you need a structured ICP schema to find relevant companies effectively. Defining parameters like headcount, revenue, industry, geography, tech stack, and funding allows the system to apply qualification frameworks and accurately identify matching target accounts for your prospect lists.

Yes, you can generate a ready-to-import spreadsheet by providing an ICP-driven prompt. The system conducts scalable multi-agent research across your defined criteria, deduplicates the identified target accounts, and formats the final output as an organized spreadsheet for immediate import.

Multi-agent research applies qualification frameworks by systematically evaluating companies against your structured ICP schema. It scales the account research process across multiple data points, deduplicates findings, and tiers prospects to focus SDR effort where it matters most for outreach.