Clean Keyword Density in the HTML Tag reports the analyzed keyword’s occurrences as a percentage of the word tokens in RankGear’s cleaned page content. It normalizes usage so pages of different lengths compare fairly — and despite the legacy name, the measured material is cleaned text derived from the rendered HTML, not the literal opening HTML tag.
| Factor ID | RG-KWD-003 |
|---|---|
| Family | Keyword usage & density |
| Measurement | Percentage |
| Measured zone | Cleaned rendered HTML text |
What it measures
This factor measures how often the analyzed keyword appears relative to the total word tokens in RankGear’s cleaned page content, expressed as a percentage. Because it is normalized against the page’s own word count, it accounts for pages carrying very different amounts of text and gives a comparable density figure rather than a raw occurrence count. Despite the legacy display name, the material scored is cleaned text derived from the rendered HTML rather than the literal opening HTML tag.
How RankGear measures it
RankGear first removes markup, scripts, styles, and comments from the rendered HTML and collapses repeated whitespace to produce the cleaned content. It then counts the analysis keyword terms using RankGear’s match-word list, processing longer terms first and consuming matches within that list so overlapping terms are not double counted. The value is keyword matches divided by cleaned-content word tokens, multiplied by 100. A page with no countable words returns 0. Because RankGear preserves its legacy cleaning behavior for report compatibility, some text from the document head may remain in this cleaned-content zone.
density % = ( keyword matches / cleaned-content word tokens ) × 100
( no countable words → 0 )How to optimize it
Read this as an observation against the target and competitor distribution from the specific analysis, not a decimal to chase. If the target page sits below a meaningful goal for the run, improve natural coverage of the keyword and its necessary subtopics in the places where that wording genuinely helps the reader. Prefer clearer explanations, accurate terminology, useful headings, and complete answers over mechanically repeating the same phrase — variations, entities, and related terms can strengthen topical relevance without forcing exact-match density upward.
Important considerations
- Keyword density is descriptive, not a universal formula for ranking.
- A higher percentage is not automatically better and can signal repetitive or unnatural writing.
- The denominator and matching rules are specific to RankGear, so values from unrelated tools may not be directly comparable.
- Interpret the value together with correlation, competitor usage, search intent, and the selected deficit strategy.
- Do not rewrite good content merely to hit a decimal target when the factor is not significant for the run — this is a correlation-based prioritization signal within a measured result set, not a lever that makes a page rank.
Related factors
Part of the Factors reference · how RankGear measures · glossary.