video1.0<iframe src="https://www.loom.com/embed/0eef2253f4d541959814a29d1d757bd1" frameborder="0" width="1280" height="960" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9601280Loomhttps://www.loom.com9601280https://cdn.loom.com/sessions/thumbnails/0eef2253f4d541959814a29d1d757bd1-6bbc48982fe31baf.gif255.6This Loom explains how to get recommended by AI and search-driven “answer engines” using consistent identity and placement across many listings. The speaker says AI treats similar name variations as different people, so discrepancies in Google My Business, Bing Places, brokerage, and display name and DRE license information can prevent top recommendations. They describe running a conclusive search across about 70 systems, reporting current placement and scores, then repairing inconsistencies to align references. They promote machinefound.com for $79 a month, waiving setup fees for the first $50 with a “Founding50” code at checkout.