Scott Selleck explains how AI can price homes more accurately by analyzing real-time buyer search patterns and engagement to find value bands, then using hyper-local comparables that account for condition, updates, location, lot type, layout, and schools.
Chapters
Here's I approach pricing as an AI enabled agent. Number one AI analyzes buyers behavior in real time. We look at all search patterns, click through activity and engagement numbers for homes like yours, not from last year, but actually from right now. Like real time, we identify your value bands. This tells us where the highest number of qualified buyers are actually actively searching. It's a huge advantage when setting your price list price basically being strategic about it. Number three we study hyper local comps, not just like generic comps around the area. We truly try to understand your property's overall condition. The updates that have been done the street, location, lot type, layout, school zone. We factor all of it in.