What is TF-IDF?
TF-IDF stands for Term Frequency–Inverse Document Frequency. It’s a mathematical method used to measure how important a word is within a document relative to a set of documents. In SEO, it helps assess keyword relevance.
How TF-IDF Works
TF measures how often a term appears in a single page, while IDF measures how common or rare that term is across many pages. Together, they highlight words that are important but not overused.
Why TF-IDF Matters for SEO
It identifies missing or underused terms compared to top-ranking pages, helping you align your content with the language search engines expect in authoritative results.
How to Use TF-IDF for SEO
- Use SEO tools that calculate TF-IDF for your keywords.
- Compare your content’s term usage against competitors.
- Add relevant terms naturally without keyword stuffing.
TF-IDF FAQ
Is TF-IDF still useful in modern SEO?
Yes. Although Google uses more advanced algorithms, TF-IDF remains a valuable guide for content optimization.
Does TF-IDF replace keyword research?
No. It complements keyword research by improving context and coverage of related terms.
