Run natural-language MLS queries
Ask questions about price-per-sqft, days on market, and neighbourhood trends in plain English — and get structured answers in seconds.
AI market intelligence in plain English — run natural-language MLS queries, build comparative neighborhood analyses, and export tables for listing-appointment packets.
Session 4 of the Post-Setup Mastery Track. EasyInsight turns plain-English questions into structured answers from real Triangle MLS data. This recording walks through running natural-language queries, building comparative neighborhood analyses, and exporting tables you can drop straight into a listing-appointment packet or buyer advisory.
Concrete playbooks you can ship to your team the same week.
Ask questions about price-per-sqft, days on market, and neighbourhood trends in plain English — and get structured answers in seconds.
Compare markets side by side with real closed sales data — the same prep Michael uses before listing appointments and relocation consults.
Every result table exports to CSV so you can attach data-backed insights to listing presentations, buyer advisories, and market-update emails.
Real operators sharing the playbooks they actually run — not borrowed slides from a vendor deck.

Real feedback from agents and brokers using EasyDigz, sourced from G2.
The most common questions we hear before someone hits "Save my seat".
Liked this session? The next live webinars are on the hub — every one is free, interactive, and recorded.