video1.0<iframe src="https://www.loom.com/embed/d0555433ad23493eb13b008b9eaa9671" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/d0555433ad23493eb13b008b9eaa9671-3cbd8fa8aa694f79.gif557.02This Loom explains how to use an AI person finder to reach decision makers at larger companies for higher value contracts. It shows an AI helper that turns natural language like “CEO’s of startups” into actual filters, and notes that more filters reduce the target group size, with one example yielding 869 results. The presenter cautions that data is not always 100 percent accurate and is refreshed about once a month, countering claims of constant freshness. They recommend using simpler filters, considering company name and revenue ranges (for startups, excluding big companies by selecting 1 million to 1 to 10 million), and separating job title and job level for better results.