How Entity Linking Can Support Local Search Success [Case Study]
Entity Linking connects mentions of people, places, brands, or concepts in content to their correct, authoritative entities in a knowledge base. It improves search understanding, SEO, and AI visibility by reducing ambiguity and strengthening contextual relevance.
Search Engine Journal has published a new case study, ‘How Entity Linking Can Support Local Search Success’.
Martha van Berkel says, “Search has changed dramatically, including local search. Search engines and AI systems now incorporate semantic understanding to generate citations and results. To gain semantic understanding, they need to know which topics appear in the content and how they relate to one another so that they can identify your areas of authority.
For brands with multiple locations, this shift can create challenges. Search engines often misinterpret place names or the services a location offers, which can lead to the wrong landing page appearing for a near-me query. At the same time, it gives local SEOs a new opportunity to add needed semantic clarity.
To support clarity and semantic understanding, SEOs should adopt an entity SEO approach. The topics, also known as entities, are like keywords with multiple dimensions. When defined within your content and with schema markup, entities can bring clarity to AI and search engines.”
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