Keyword Density: Useful Signal or SEO Myth?

Обзор

Keyword density — the percentage of times a target keyword appears in an article — was once treated as the central SEO metric. Search engines in the late 1990s and early 2000s did ranking partly on raw keyword frequency, and 'SEO-optimized' content often forced 2–3% density mechanically. Google's algorithm has evolved dramatically since then. Modern systems use semantic embeddings, entity recognition, and reading-quality signals. But keyword density remains a useful diagnostic: too low and your topic is unclear, too high and you're over-stuffing. This tool measures word frequency in any text and flags potential keyword-stuffing issues.

Как пользоваться (по шагам)

  1. 1

    Paste your draft article or page copy

    The tool counts words and ranks the most frequent ones. Stop words (the, and, of) are filtered automatically so you see the meaningful terms.

  2. 2

    Look at the top 10–20 terms

    Your target keyword should appear naturally without obvious stuffing. A density of 1–3% for the primary keyword is generally healthy.

  3. 3

    Adjust the draft if needed

    Too low? Add a related-phrase paragraph. Too high? Rephrase a couple of mentions with synonyms. The goal is reading naturally, not hitting a number.

Как это работает

Paste any text. The tool tokenizes by whitespace, normalizes case, removes common stop words (the, a, of, etc.), and counts each remaining word. It also extracts 2-word and 3-word phrases (bigrams/trigrams) which often reveal the true topic better than single words. The output ranks words by frequency and shows density as a percentage of total content. Compare densities to recommended ranges (~1–2% for primary keyword, ~0.5–1% for secondary).

Когда пригодится

Reviewing your own blog posts before publishing (am I clearly on topic?). Analyzing competitor articles you want to outrank (what keywords are they emphasizing?). Auditing thin content that's not ranking (is the keyword density too low to register?). Checking AI-generated text for unnatural repetition. Spotting accidental keyword stuffing in technical documentation.

Частые вопросы

There's no single answer — different niches and content lengths have different patterns. As a rule of thumb: 1–2% for the primary keyword in a 1000+ word article. Anything over 3% looks suspicious; anything under 0.5% may not register the topic to search engines.

Плотность ключевых слов | Super Easy Utils