video1.0<iframe src="https://www.loom.com/embed/bce95e66815949eaa2106eed7cf8313d" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/bce95e66815949eaa2106eed7cf8313d-bb4a2db47aa839c0.gif308.888A walkthrough of an ICP scoring system built in Clay, used to score a list of companies against an ideal customer profile so reps don't waste time on poor-fit accounts. It imports 25 real Y Combinator companies from a CSV, then uses Claygent, Clay's AI research agent, to visit each company's site and pull one sentence on what they actually do. An AI column scores every company from 0 to 100 with a rationale grounded only in that gathered information, and a fixed formula sets the A/B/C tier (80 and up is an A). Sorted by fit, the A-tier accounts form a filtered outbound view, and the score, tier, and rationale write straight into HubSpot as CRM-ready company records.