EasyDigz Webinar Teaches Agents to Excel in AI-Age Real Estate
News related to:EasyDigz · 2 min read
RALEIGH, NC, UNITED STATES, October 13, 2026 /CourierPR/ -- EasyDigz, a modern all-in-one real estate platform, hosted a live training webinar on October 7 for Doorify MLS subscribers. The session, led by Michael Walliser, a licensed North Carolina broker with over two decades of experience and the founder of EasyDigz, aimed to help agents become visible to buyers who increasingly rely on AI tools such as ChatGPT, Perplexity, and Google AI Mode to find homes and agents.
Walliser began the webinar by sharing a story from the National Association of Realtors (NAR) legislative conference earlier this year. Agents there had reported that clients had found them simply by asking an AI tool for help buying a home.
The webinar focused on why some agents get recommended by AI tools while others do not. Walliser explained that when a buyer asks an AI tool for an agent, the tool assembles the agent's business card from across the internet, drawing on their Google Business Profile, reviews, license record, MLS profile, and portal listings. Agents whose name, phone number, address, and website differ from one profile to the next make it harder for these tools to confirm who they are.
His first recommendation was to build one central source of truth that every other profile links back to, ensuring that search engines and AI tools see a single, uniform picture of the business.
Local knowledge was highlighted as the differentiator. Walliser demonstrated how agents can publish content about the neighborhoods they genuinely know, covering everyday details the national portals cannot supply, such as commute times, HOA transfer fees, and local amenities. Using the EasyInsights tool, which runs on MLS data through the EasyDigz partnership with Doorify, he pulled 12 months of data for Raleigh's Harrington Grove neighborhood and turned it into a draft blog post answering a specific buyer question.
Walliser also reminded agents that they remain responsible for everything they publish, whichever tool helped draft it. He flagged phrases such as "great for families with children" or "safe area" as fair housing risks, and asked agents to read every draft aloud and stop whenever it describes the people who live somewhere rather than the place itself. He also urged agents to follow MLS display rules for other brokers' listings and to keep client information out of free AI tools.
Consistency over volume was emphasized.
Attendees received the session workbook, and the 30-day plan and recording are being shared with registrants. EasyDigz will follow up with a review of NAR's AI recommendations for brokerages on October 15 and a session on setting up EasyDigz as an agent's central source of truth on October 21. For Walliser, the larger goal is not simply getting an agent's name into an AI answer, but making sure the agent can deliver once a buyer reaches out. As AI tools take on more of the early buyer conversation, the agents who are consistent, specific, and genuinely useful about the places they serve will be the ones best positioned to earn that first call.