A topic taxonomy is a hierarchical system for organizing and classifying content by topics and subtopics. It provides a structured framework for creating content that demonstrates expertise and authority on a topic.
Google uses natural language processing and content analysis to identify the main topic (called the “Centerpiece Annotation”) of a webpage, as well as related subtopics. Creating content around a clear topic taxonomy aligns with how Google determines relevance.
Outlining the taxonomy of topics for a webpage involves determining the main topic, then identifying relevant subtopics that provide supporting information. This helps ensure content stays focused and semantically relevant. The subtopics cover the types of information users would expect to find on pages about those subjects.
Trying to target a vague, high-volume keyword phrase like “financial information” failed for one website because while that phrase appeared repeatedly, the actual content topic was financial advice. Google matches pages to meaning, not just keywords.
Crafting content around a well-defined topic taxonomy creates a structured framework optimized for how search engines evaluate relevance.
Staying focused on covering subtopics related to the central page topic allows for precision and completeness without straying into unrelated territories.
Matching page topics and subtopics to user intent and expectations is key. A clear taxonomy aligns content with how Google determines semantic relevance.