Built a scalable SEO architecture connecting MLS inventory, property types and US markets to expand organic property-search visibility.
Combined local SEO, programmatic landing pages and inventory-focused architecture to scale property search visibility across multiple US states.
The property platform had extensive MLS inventory, but its organic search architecture was not scaling with the markets and property searches it served.
Property discovery varied significantly by market. A shopper searching homes for sale in Austin had different intent from someone looking for condos in Miami, new construction in Phoenix or townhomes in San Diego.
We rebuilt the architecture around state, metro, city, neighborhood, property type and search intent, combining programmatic SEO, technical indexation controls and local content to create scalable destinations for high-value MLS searches.
The company had strong offerings, but organic and AI search presence fell short because the architecture was not built to scale.
Property type, price, bedrooms, neighborhoods and other filters created thousands of possible pages. Only meaningful search combinations needed to become indexable destinations.
Search intent differed across Austin, Dallas, Miami, Phoenix and San Diego, requiring market-specific location and property relevance.
New listings and changing inventory could constantly create URLs. The platform needed automated controls for canonicals, indexation and inactive properties.
The opportunity was not indexing more listings. It was creating the right search destinations from a constantly changing MLS database.
We combined technical SEO with scalable search expansion: build the technical foundation first, map intent, and scale the assets that drive business value.
Connected states, metros, cities, neighborhoods and property searches into a defined geographic hierarchy.
Generated controlled landing pages around validated combinations of location, property type and buyer intent.
Aligned listing, collection and property-type pages around homes, condos, townhomes and new construction searches.
Managed inactive listings, filter URLs, duplicate inventory and crawl paths to protect valuable search pages.
Rather than generic tactics, we executed disciplined workstreams engineered for compounding organic and AI search visibility.
The new local and programmatic architecture expanded organic visibility across property, location and MLS-related searches.
Expanded property discovery across priority markets in Texas, Florida, California, Arizona and Georgia.
Built repeatable search destinations around validated combinations of location and property intent.
Improved visibility across homes, condos, townhomes and new-construction searches.
The biggest change was turning a constantly changing MLS inventory into a scalable search system that could grow with every market we entered.
The combination of stronger product architecture, cleaner indexation, and improved shopping signals created a scalable foundation for product discovery.