WDF

WDF, short for "Within Document Frequency," is a concept from search engine optimization that analyzes the relative frequency of a term within a document. It is not just about the absolute count of a keyword but rather about how prominently the term appears relative to the entire text. WDF is often used in combination with IDF (Inverse Document Frequency) to better assess the relevance of content for specific search queries.

A key goal of WDF is the optimization of keyword distribution. Instead of excessively repeating keywords, WDF helps to use terms at a natural density that is relevant and reader-friendly for the user. This contributes to content being perceived as high-quality by both search engines and human readers.

Another aspect is the consideration of semantic relationships. In WDF analysis, not only a single keyword is examined but also related terms and synonyms that clarify the context of a topic. This enables the creation of content that covers a topic comprehensively, leading to better evaluations by search engines.

Example: If an article is written on the topic of "healthy cooking," WDF could indicate how often terms like "ingredients," "recipes," or "nutrients" should be meaningfully integrated to comprehensively cover the topic without unnecessarily repeating the main term.

WDF is a valuable tool for optimizing content for SEO by finding the right balance between keyword density and content relevance. It helps to avoid overly dense or unnatural text and create content that is appealing to both search engines and readers.