SEO Keyword Checker

Keyword density is the percentage of a page's total word count made up by a specific target keyword or phrase, calculated as (number of keyword occurrences × words in the keyword) ÷ total word count × 100. It was a much more heavily weighted ranking signal in the early era of search engines, when keyword-matching algorithms were comparatively simple and "keyword stuffing" — unnaturally repeating a term dozens of times purely to game rankings — was a genuinely effective, widely used tactic. Modern search engines, and Google in particular, now use vastly more sophisticated natural-language understanding (semantic analysis, synonym and entity recognition, and machine-learning ranking models) that make crude keyword repetition far less effective and, past a certain point, actively counterproductive — content that reads as obviously keyword-stuffed is penalised rather than rewarded, and Google has stated plainly and repeatedly that there is no ideal or target keyword density it looks for. Despite that, keyword density remains a genuinely useful diagnostic number for writers, not because hitting a specific percentage boosts rankings, but because it is an efficient proxy for a real and simple question: does this piece of content actually, clearly focus on the topic it's trying to rank for? A target keyword that appears zero or one times in a 1,500-word article is a reasonable signal the content may not be topically focused enough, regardless of how well-written it otherwise is, while a keyword repeated 40 times in that same article is a reasonable signal of over-optimisation that reads unnaturally to a human reader — search engines increasingly rank for how content reads to people, not just what it technically contains. Most practical SEO guidance today treats a density somewhere in the rough 0.5-2.5% range as a reasonable, natural-sounding zone for a primary keyword, though this is a loose heuristic to sanity-check against, not a target to engineer toward — writing naturally for a clearly defined topic tends to land in a similar range without any conscious effort to hit a number. This tool also checks whether each keyword appears within the first 100 words of the content, a distinct and separate signal from overall density. The reasoning is twofold: search engines have historically given somewhat more weight to terms appearing early in a document (on the theory that a well-written piece states its topic near the top rather than burying it), and, just as importantly, human readers scanning a page decide within seconds whether it actually addresses what they searched for — an article about "best BMI calculators" that doesn't mention BMI calculators anywhere in its opening paragraph risks losing both the search engine's topical signal and the reader's attention at the same moment. This is a deliberately different, complementary tool to the Text & Writing category's Readability Score Checker (Faza 12), which measures how easy a piece of text is to read (via the Flesch Reading Ease and Grade Level formulas) without regard to any specific keyword or topic at all — a perfectly readable article can still be poorly keyword-focused, and a heavily keyword-optimised article can still be difficult to read. Used together, the two give a fuller picture: readable and clear (Readability Score Checker) and topically focused around the terms it's actually trying to rank for (this tool). This tool works on plain text only, with no HTML parsing — headings, bold text and other on-page emphasis that search engines may weight more heavily are not distinguished from body text, since that level of structural analysis is deliberately out of scope for a fast, browser-based text tool.