Paste your page content to see word frequency and keyword density. Identify over-optimised terms and content gaps.
Keyword density is the percentage of times a target keyword appears in a piece of content relative to the total word count. Formula: (keyword count ÷ total words) × 100. A 1,000-word article mentioning "EMI calculator" 10 times has a 1% keyword density for that term.
There is no universally "correct" keyword density. Google has explicitly stated it doesn't use keyword density as a ranking factor and that keyword stuffing — excessive repetition intended to manipulate rankings — actively harms rankings. A density of 1–3% is generally considered natural for a primary keyword. More important than density is semantic coverage: using related terms, synonyms, and topic-relevant vocabulary that signals comprehensive coverage of a subject. Use this tool to identify terms that appear far more than expected (potential over-optimisation) or check competitor content to understand how they naturally cover a topic.
There is no single ideal keyword density. Google does not use it as a direct ranking factor. Aim for 1–3% for your primary keyword to keep usage natural. More important is topical coverage — use synonyms, related terms, and answer questions comprehensively rather than repeating one phrase.
Keyword stuffing is the practice of overloading a page with a target keyword in an unnatural way to manipulate rankings. Google's algorithm penalises this. A page with 8%+ density for a single keyword, or unnatural repetition in titles, alt text, and footers, is a clear signal of stuffing.
Stop words are common function words (the, a, an, is, it, in, on, of, and, to, etc.) that appear frequently in all texts and carry little semantic meaning for search analysis. Filtering them gives a cleaner view of the meaningful keywords in your content.
High density of a single keyword can indicate shallow, repetitive content. Good content typically shows varied vocabulary with multiple related terms at lower individual densities. If your target keyword has very high density but related terms are absent, the content may be thin despite word count.