Entity-based SEO

Entity-Based SEO is an advanced search optimization approach that focuses on topics, concepts, and relationships between identifiable entities rather than relying solely on keywords. An entity can be a person, place, brand, product, or concept that search engines recognize as distinct and meaningful.
This method helps search engines understand context and relevance through semantic connections rather than simple keyword matching. By optimizing for entities, websites can improve topical authority, visibility in semantic search results, and long-term organic performance.
Advanced
Entity-Based SEO aligns closely with Google’s Knowledge Graph and natural language processing algorithms. Search engines use entities to interpret user intent, connect related information, and deliver more accurate search results.
Advanced optimization involves structuring content around key entities, using schema markup, and establishing connections through backlinks, mentions, and consistent brand references. Content should clarify relationships between entities and include structured data that supports machine understanding. This approach enhances relevance signals and improves ranking potential for voice search and AI-driven discovery.
Relevance
Applications
Metrics
Issues
Example
A financial publication optimized its articles by linking expert author profiles, company names, and related market topics using schema markup. Over time, Google began associating the brand as a trusted financial entity, resulting in higher rankings and more appearances in featured snippets.