YAKE (Yet Another Keyword Extractor) is a local, statistics-based method that pulls the most important words and phrases out of page text on your own machine — no language-model request or external API call required.
| Term | YAKE |
|---|---|
| Category | Content and Topical Relevance |
| Also known as | Yet Another Keyword Extractor |
| Where it appears | Workbook Yake LSI and measurement engine |
What it means in RankGear
YAKE runs inside the RankGear Workbook, where it feeds the LSI and measurement engine. Because it is unsupervised and purely statistical, it scores candidate phrases from features already present in the text — how often a term appears, where it sits in the document, and how words cluster together — and surfaces the wording a page leans on most. It does this locally, so profiling a page or a stack of competitor pages costs no model credits and sends no content to an outside service.
How to interpret it
Read the output as a ranked picture of what a page actually emphasizes, not as a target to hit. The value comes from comparison: run the pages already ranking for your query and see which entities, questions, and supporting concepts the field returns to that your draft skips. Those gaps are where genuinely useful coverage belongs. Treat the phrases as a map of what the topic tends to include — not a density quota, and not a score Google hands out.
Example
You are working a page that targets “cold brew coffee.” Feed the top results through the Workbook and YAKE surfaces phrases such as “steeping time,” “coarse grind,” and “concentrate ratio” recurring across the ranking field, while your own draft only repeats the brand name and the head phrase. That contrast hands you a concrete list of supporting concepts worth addressing before you publish.
Important considerations
- YAKE is an unsupervised statistical heuristic for ranking candidate phrases within a document — it is a local extraction method, not a ranking signal Google measures.
- Which phrases recur across competitors is a comparative indicator of what a topic usually covers, not proof that adding them will lift rankings. Correlation is not causation.
- Matching wording should preserve search intent and read naturally; repetition, stuffing, and unsupported claims do not build topical authority.
- Because it runs locally with no model, YAKE is fast and inexpensive but purely lexical — it reads surface wording rather than inferring meaning or synonyms the way an embedding-based pass would.
Related terms
Part of the RankGear glossary · how RankGear measures · the 870 factors.