Keyword Frequency Counter

Reading the frequency table:

Sort by Count (descending) to see your most-used terms. The top 5–10 substantive words should reflect your page's actual topic. If your page is about "content marketing" but the top terms are all about "social media," the keyword distribution does not match your intent.

Finding under-used keywords:

Use the search function to check frequency for a specific term. If your target keyword appears only once in a 1,500-word article, it may be underweighted. Add it to a subheading or supporting paragraph naturally.

Synonym substitution:

If a single term appears 15+ times in a 1,000-word piece, find 2–3 synonyms or related phrases and substitute some occurrences. This improves readability and signals broader topical coverage to search engines.

Phrase frequency:

Bigram and trigram frequency is especially useful for exact-match keywords. If you are targeting "email marketing software," verify it appears as a phrase at least 2–3 times in a 2,000-word article.

Frequency counter vs keyword density checker:

Frequency gives you the raw occurrence count. Density gives you the percentage relative to total word count. For short content, frequency is more actionable. For longer content where you are comparing against competitive pages, density normalizes for length and is easier to compare. Both tools analyze the same underlying data differently.

Frequency counter vs grammar checker:

Grammar checkers flag repeated words as stylistic issues. This frequency counter serves an SEO-specific purpose — understanding the distribution of terms that search engines use to assess topical relevance. Use the grammar checker for prose quality; use this counter for keyword distribution analysis.

Keyword frequency — the raw count of how many times a specific term appears in your text — is the foundational metric underlying keyword density analysis, TF-IDF scoring, and readability assessment. Knowing exact occurrence counts lets you make surgical edits: adding a term that is underrepresented, or replacing repetitions of a term that appears too often with its synonyms.

This counter analyzes your pasted text and returns a frequency table for every word and phrase, sorted by occurrence count. Single words, two-word phrases, and three-word phrases are all counted separately. Common stop words (the, a, is, in, etc.) are filtered from the results so you see only meaningful content terms.

Frequency analysis is particularly useful for content optimization: checking that secondary keywords appear at least once or twice, ensuring you have not accidentally repeated the same phrasing verbatim across multiple paragraphs (which reads unnaturally and can signal thin content to search engines), and confirming that your semantic keyword cluster — the related terms and synonyms that signal topical depth — is distributed throughout the piece.