Understanding Entity SEO and Its Implications
Entity SEO shifts the focus from traditional keyword optimization to identifiable concepts known as entities, which include locations, services, and products. This approach enhances search engines’ understanding of content by linking these entities to authoritative sources like Wikidata or Wikipedia through schema.org properties.
For local businesses, implementing entity linking clarifies service areas and locations, minimizing errors in geo-targeted searches. By using schema properties, marketers can effectively define the relationships between various entities, which is crucial for accurate search engine interpretation.
Challenges Faced by Multi-Location Brands
Brands operating in multiple locations encounter significant hurdles. Name ambiguity often leads to search engines misinterpreting queries, such as confusing Phoenix, Maryland, with Phoenix, Arizona. This misalignment can severely impact visibility for local searches, particularly ‘near me’ queries that rely on accurate geographic signals.
To address these issues, companies need to adopt a strategy that emphasizes semantic clarity through entity linking. This involves defining the LocalBusiness schema with properties like areaServed and connecting to external authorities for disambiguation.
Implementing Entity Linking: The Brightview Case Study
Brightview Senior Living operates over 47 community pages, each requiring distinct local context and service offerings. Their marketing team faced challenges in scaling SEO efforts across these locations. To resolve this, they transitioned from a keyword-centric approach to an entity-first strategy.
Disambiguating Locations
Brightview employed entity linking by explicitly defining location entities on community pages. They utilized schema markup properties such as sameAs and mentions to link each community to authoritative sources. This strategy effectively resolved issues like the confusion between similarly named locations, enhancing search engines’ ability to accurately interpret relevant queries.
Connecting Services to Entities
Brightview also mapped key service terms, linking them to authoritative sources. By doing this, they improved visibility for non-branded, high-intent searches like “assisted living communities.” This strategic linking moved their content beyond brand-specific queries, capturing broader, category-level visibility in search results.
Building a Comprehensive Knowledge Graph
Entity linking extended across all content types, including community pages and informational resources. This approach created a connected knowledge graph that reinforced Brightview’s authority in both topics and locations that mattered most to their business.
Measurable Outcomes of Entity Linking
Post-implementation, Brightview experienced notable increases in local and non-branded search visibility. Specifically, they recorded a 25% increase in clicks and a 30% rise in impressions for non-branded queries related to assisted living. These results clearly indicate that entity linking effectively defines what organizations offer and where they provide those services.
Additionally, their community pages saw a 16% year-over-year increase in clicks, demonstrating enhanced discoverability for local searches. This uptick is particularly noteworthy considering broader industry trends where many companies reported declines.
Looking Ahead: Predictions for the Next Six to Twelve Months
As more brands recognize the value of entity linking, expect a gradual shift toward entity-focused strategies in local SEO. Companies that adopt these methods will likely see improved search performance and authority in their respective markets. The emphasis will remain on disambiguating services and locations, paving the way for more precise and effective SEO strategies in an increasingly competitive space.
