Keyword Count in Body is a raw tally of how many times your keyword variations appear in a page’s cleaned body text. It reads the volume of on-topic terms, not their placement or accuracy — and because it is an absolute count, longer pages naturally accumulate more matches, so read it as an observation rather than a target to inflate.
| Factor ID | RG-KWD-017 |
|---|---|
| Family | Keyword Usage & Density |
| Measurement | Variation occurrence count |
| Measured zone | Clean body text |
What it measures
This factor counts how many times the run’s keyword variations occur inside the cleaned body text of the page. The variation set is the group of related terms RankGear tracks for the run — the primary keyword plus its recognized forms — and the result is the combined number of times any of them appears once boilerplate and non-body markup have been stripped away.
How RankGear measures it
RankGear applies case-insensitive whole-word matching to the variation set. It processes longer terms before shorter overlapping ones, consumes each match as it is found so the same span of text is never counted twice, and returns the total across every variation. Matching whole words means a term only registers when it stands as its own word, and the longest-first order ensures a broader phrase is credited before its shorter fragments are considered.
How to optimize it
Use a natural mix of relevant terms while fully answering the search intent, covering the entities and subtopics the query implies. Because this is a raw count tied to page length, treat it as an observation of coverage rather than a number to push toward — write the depth the topic genuinely needs, and the count follows. Padding the body with repeated terms adds volume without adding relevance, and RankGear reads placement and quality through other factors.
Important considerations
- This is a raw count, so longer pages often have more opportunities to accumulate matches than shorter ones.
- Overlapping variations do not count twice — a span consumed by a longer term is not recounted for a shorter one inside it.
- It does not measure placement or factual quality; where the terms sit and whether the content is accurate are read by other signals.
- Evaluate it alongside density and content-quality factors rather than on its own.
- This is a correlation-based signal that relates to position within a measured result set. A higher count does not make a page rank or guarantee a ranking.
Related factors
Part of the Factors reference · how RankGear measures · glossary.