Meaningful words are the tokens that remain once RankGear applies its tokenizer and strips stop words — the count of content-bearing terms that serves as the denominator for density and other contextual measures.
| Term | Meaningful Words |
|---|---|
| Category | Content and Topical Relevance |
| Also known as | Content Words |
| Where it appears | Density and BM25 Drafts |
What it means in RankGear
Before RankGear can report how often a term appears relative to the body of a page, it has to decide which words actually carry meaning. The tokenizer splits the raw page text into individual tokens, then function words such as “the”, “of”, “and”, and “to” are removed because they appear on nearly every page and say nothing about the topic. What is left is the pool of meaningful words. In the Density and BM25 Drafts view that pool is the denominator: a keyword’s density is its occurrences divided by the total meaningful words, not divided by every word on the page. Counting against a stop-word-free total keeps the comparison consistent across pages that differ in verbosity or grammatical style.
How to interpret it
Read the meaningful-word count as the scale that makes density figures comparable, not as a target of its own. A page with more meaningful words can carry the same density with more raw occurrences of a term, and two drafts of the same nominal length can differ once stop words are stripped out. When you weigh your draft against the ranking field, judge density against this shared denominator rather than against total length. The aim is coverage and clarity — adding genuinely useful information and the entities, questions, and supporting concepts a topic calls for — not pushing a term’s count until a density figure lands on a chosen number.
| What counts as a meaningful word | Nouns, verbs, adjectives, named entities, and the topic’s content phrases — the tokens that carry subject matter. |
|---|---|
| What is excluded | Stop words: articles, prepositions, conjunctions, and other high-frequency function words that appear on almost every page. |
Example
Suppose a 900-word article reduces to about 520 meaningful words after stop words are removed. Your target phrase appears nine times, which reads as roughly 1.7% density against the meaningful-word denominator instead of the 1.0% you would see against all 900 words. A top-ranking page of similar length shows the phrase at a comparable rate but also works in related entities and supporting questions your draft never touches — the gap worth closing is that topical coverage, not the raw density figure.
Important considerations
- Density is measured against meaningful words, so an identical raw count can read differently depending on how many stop words a page contains — always compare like with like.
- Different tokenizers and stop-word lists yield slightly different meaningful-word totals; the figure is an internal, comparative measure rather than an absolute property of the text.
- Repetition, keyword stuffing, and unsupported claims inflate the count without building topical authority; related wording should preserve the original search intent.
- Meaningful-word density is a comparative indicator drawn from the ranking field, not a Google score — a higher number does not by itself make a page rank.
Related terms
Part of the RankGear glossary · how RankGear measures · the 870 factors.