This factor counts how many times related (LSI) terms occur across the sentences of your cleaned page content. It is a raw occurrence count, not a quality score — more matches correlate with topical depth within a measured result set, but coverage alone does not guarantee a ranking.
| Factor ID | RG-LSI-009 |
|---|---|
| Family | Related Terms (LSI) |
| Measurement | Related-term occurrence count |
| Measured zone | Token-parsed clean-content sentences |
What it measures
RankGear counts LSI term occurrences across the sentences derived from your cleaned page content. Every appearance of a run-level related term inside a sentence adds to the total, so the value reflects how often the page’s supporting terminology actually surfaces in readable prose rather than whether a term is merely present somewhere on the page.
How RankGear measures it
RankGear runs its token-based clean-content sentence splitter over the page, lowercases the resulting sentence corpus, and sums word-aware matches for every run-level LSI item. Matches are not allowed to span sentence boundaries, so a term only counts when it appears wholly within a single sentence. Because matching is word-aware, it targets whole tokens rather than loose substring fragments, and repeated occurrences of the same term each add to the count.
How to read it
| If the count is… | What it suggests |
|---|---|
| Higher | Related concepts are being explained across many complete sentences, so topical terminology appears with surrounding context. |
| Lower | Supporting terms are sparse or confined to lists and fragments; consider whether related concepts are actually explained in prose. |
How to optimize it
Explain related concepts in complete, useful sentences so that topical terminology appears with meaningful context. The goal is genuinely covering the subject — not stuffing terms — because context and accuracy matter more than coverage alone. Treat the count as an observation about how thoroughly the page discusses its topic, not as a target number to hit.
Important considerations
- This sentence parser differs from the regex parser used by some other sentence-based factors, so counts here will not always align with those factors.
- The LSI list can contain many terms, and every run-level item is checked against the corpus.
- Repeated occurrences count — the same term appearing in several sentences adds to the total each time.
- Context and accuracy matter more than coverage alone; a high count driven by unnatural repetition is not the aim.
- This is a correlation-based prioritization signal within a measured result set. A higher count does not make a page rank or guarantee a position.
Related factors
Part of the Factors reference · how RankGear measures · glossary.