Document Overlap
1.9%First documentBrand Entities, Attributes, and Relationships for B2B GrowthOpen original ↗
Second documentEntity-Based Discovery: Why Keywords Are No Longer EnoughOpen original ↗
Top paragraph overlap
24.3%Page comparison
Paragraph matches
Strongest non-zero match for each paragraph.
Common questions about brand entities and knowledge graphs
Taxonomies, tags, and folders are typically ways of grouping or labelling content items, often created independently in each system. A brand entity model defines the underlying real-world things your content is about — organizations, products, industries, buyer roles, partners — along with structured attributes and explicit relationships between them. Content items then reference these entities rather than inventing their own labels. In practice, you may still use taxonomies and tags, but they become implementation details built on top of a shared entity layer, which reduces duplication and makes it easier to exchange data between systems.
From keyword lists to knowledge graphs: how discovery has changed
Old world: Build large keyword lists, stuff them into pages, track rankings for individual phrases. New world: Define entities (your company, products, industries, buyer roles, problems) and make their relationships explicit in content and data. Old world: Each keyword is treated separately, even if they refer to the same concept. New world: Systems cluster many keyword variants, languages, and phrasings around a single entity or concept, and return results based on that understanding.