Analyze term frequency and importance across your content. Discover semantic keyword opportunities and content gaps.
TF*IDF (Term Frequency × Inverse Document Frequency) measures how important a word is to a document relative to a collection of documents. Our TF*IDF tool analyzes your page content and compares it against top-ranking pages for the same topic.
Modern search engines evaluate topical relevance, not just keyword density. TF*IDF helps you understand which terms are semantically important for your topic. Pages that cover the right terms comprehensively tend to rank higher because they provide more complete answers to user queries.
There is no single ideal TF*IDF score. The goal is to match or exceed the term coverage of top-ranking pages for your target topic. Focus on including missing important terms naturally rather than maximizing individual scores.
Analyze 20–30 top-ranking pages for your target keyword to establish a baseline. Then compare your content against this benchmark to identify gaps and opportunities.