Built a scalable SEO framework connecting US markets, cities, neighborhoods and property searches to win high-value local demand.
Built market, city and neighborhood search architectures across priority US residential markets.
The real estate brand had strong market coverage, but its search architecture was not capturing the full value of local property demand.
Search intent changed dramatically between markets such as Austin, Dallas, Miami and Atlanta, then became even more specific at the neighborhood level.
We rebuilt the search architecture around market, city, neighborhood, property type and buyer intent, creating clearer landing-page relationships while reducing competition between overlapping geographic pages.
The company had strong offerings, but organic and AI search presence fell short because the architecture was not built to scale.
Austin, Dallas and Miami each contain dozens of distinct local markets. We created a hierarchy that connected city searches to neighborhoods such as Zilker, Highland Park and Brickell.
Searches changed from broad “homes for sale” terms to combinations like 4-bedroom homes in Highland Park or luxury condos in Brickell.
A framework was required to expand across markets such as Tampa, Phoenix and Charlotte without producing duplicate or low-value location pages.
The opportunity was not more location pages. It was a stronger search destination for every valuable local property intent.
We combined technical SEO with scalable search expansion: build the technical foundation first, map intent, and scale the assets that drive business value.
Built a hierarchy connecting states, cities, neighborhoods and residential searches without allowing nearby locations to compete for the same intent.
Mapped location, property type, bedrooms, price, lifestyle and buyer-stage intent to distinct commercial destinations.
Created reusable frameworks for combinations such as Austin + condos and Dallas + 4-bedroom homes with controlled indexation.
Connected market guides, neighborhood content and contextual internal links to strengthen geographic relevance across priority locations.
Rather than generic tactics, we executed disciplined workstreams engineered for compounding organic and AI search visibility.
The new market, neighborhood and property architecture created clearer ranking targets across priority US residential real estate searches.
Priority searches spanning markets, cities, neighborhoods and property-specific intent.
A repeatable framework connected priority markets without treating every city as a separate SEO campaign.
Expanded visibility around property type, bedrooms, neighborhood and buyer-focused searches.
The biggest change was having a repeatable local search framework instead of treating every city and neighborhood as a separate SEO project.
The combination of stronger product architecture, cleaner indexation, and improved shopping signals created a scalable foundation for product discovery.