Keyword stuffing used to be one of the more reliable ways to rank a real estate page on Google. Repeat the city name often enough, list every neighborhood you serve in the footer, and the old algorithm would assume your page was relevant to those searches. That tactic is now actively working against you in … Read more
For two decades, real estate SEO has been a competition for ranking position. The first page of Google for “homes for sale in [city]” was the prize. Realtors who got there generated leads. Realtors who did not, did not. The rules of the competition were stable enough that a whole industry of SEO providers built … Read more
When Google AI Overviews answers a local real estate question, it does not pull only from blog posts and websites. It also pulls from Google Business Profile data. The map listing, the categories, the service description, the posts, and the reviews all feed into the system’s understanding of who counts as a local expert in … Read more
Most realtor websites have a city page. Sometimes a few city pages. Each one tries to be the definitive resource for buyers and sellers in that city, covering schools, neighborhoods, market conditions, lifestyle, and a dozen other topics in one long page. The intent is reasonable. The result is almost always a page that ranks … Read more
Most SEO advice about blog posts focuses on word count. Aim for 1,500 words. Aim for 2,000. Long-form content ranks better. The reasoning is partly true, partly outdated, and almost completely missing the point when it comes to AI citation. AI systems do not reward word count directly. They reward structure. A clearly organized 1,000-word … Read more
Most real estate websites already have something they call a hot sheet. It is usually an IDX-driven page showing recent listings or new activity in a search area, generated automatically and updated when the MLS feed refreshes. These pages exist on tens of thousands of realtor sites and almost none of them get cited by … Read more
Most realtors have access to more market data than they will ever publish. The MLS produces sales reports, days on market trends, inventory counts, price-per-square-foot calculations, and a dozen other metrics that update weekly or monthly. Most of that data sits in dashboards and emails and never reaches the public web. For realtors trying to … Read more
There is a page on most well-built content sites that visitors rarely click on, but AI systems read carefully every time they evaluate the site. It is the author bio page. The page where the person behind the writing is named, described, and connected to verifiable credentials. Most realtor websites either skip this page entirely … 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
Walk into any real estate website and you can usually predict the blog. Top 10 Reasons to Move to [City]. Top 10 Things to Do in [Neighborhood]. Top 10 Mistakes First-Time Buyers Make. The format is familiar because it is everywhere, and that is exactly why it does not work. Generic listicle posts are the … Read more