How ChatGPT, Google AI Overviews, and Perplexity choose local real estate sources and what realtors need to do to earn AI citations.
AI systems favor explanatory content over sales pages because an explanatory page answers a question and a sales page does not. When a model assembles an answer about buying or selling in Boise, it is looking for a passage that resolves what the user asked. “Work with the number one agent in the Treasure Valley” … Read more
Most realtors I talk with assume that fresh content is what AI systems reward. The thinking is intuitive. AI tools want current information, so the most recently published page should win. That instinct is half right. Freshness matters in some contexts. For the kind of long-running local market authority a real estate site is trying … Read more
Traditional SEO was built around a specific assumption: a person types a query, and the search engine returns a ranked list of pages that match. The job of an SEO was to make the page match well enough to land near the top of that list. Keyword research, keyword placement, keyword density, anchor text, on-page … Read more
When a buyer asks ChatGPT about home prices in a specific town, the answer comes from somewhere. Same with Google AI Overviews when a seller types a question into the search bar. Same with Perplexity when someone is researching whether to relocate. Each of these systems pulls information from real sources, attributes it back to … Read more
Something has changed in how people find real estate information online. The change is not dramatic from the outside, but the mechanism behind it is significant, and the realtors who understand it early will have a meaningful advantage over those who figure it out later. The change is this: a growing number of people searching … Read more