What is a keyword density checker?
A keyword density checker is a tool that scans a piece of content and reports how frequently each word and phrase appears relative to the total word count. Instead of counting by hand, you get an instant breakdown of your most-used one-word, two-word, three-word and four-word terms, each with a frequency count and a density percentage.
It answers a simple question with real consequences: is my main keyword present often enough to signal relevance — but not so often that it reads as manipulation? That balance is what separates content that ranks from content that gets filtered.
How to check keyword density (step-by-step)
- Choose your input. Use the URL tab to analyze a live page, or the Text tab to paste a draft that isn't published yet.
- Paste and run. Drop in your URL or content. The tool reads the page body (ignoring navigation and boilerplate) and tallies every term.
- Read the table. Results are grouped into 1-, 2-, 3- and 4-word phrases, sorted by frequency, each showing its count and density percentage.
- Act on it. If your target keyword is buried, work it in naturally. If it's over-represented, dilute it with synonyms and related terms.
Tip: run your draft and the top two ranking competitors. Comparing density side by side tells you whether you're under- or over-emphasizing your topic versus what's already winning.
Keyword density formula
The keyword density formula is:
So if your keyword appears 8 times in a 1,000-word article, its density is (8 ÷ 1,000) × 100 = 0.8%. For multi-word phrases, count the phrase as one occurrence and divide by the total number of words on the page.
What is 1% keyword density?
A 1% keyword density means your keyword appears once for every 100 words. In a 1,000-word page, that's 10 mentions. One percent is a comfortable, natural range for most content — present enough to establish the topic, low enough that it never reads as forced.
What is the ideal keyword density?
There is no single "correct" percentage, and any tool that promises one is overselling. Google has never published a target, and the right number depends on your topic, content length and competition. As a practical guardrail, most pages that read naturally land somewhere around 0.5%–1.5% for the primary keyword, and you start risking the appearance of stuffing above roughly 2.5%–3%.
The better mental model: write for the reader first, then use this tool to check that you didn't accidentally over- or under-shoot. Density is a diagnostic, not a target to hit.
Single-keyword density vs. phrase density
Your exact-match keyword will almost always show a lower density than its individual words, because the words also appear separately and in other phrases. That's normal and healthy — modern search engines reward natural variation (synonyms, related terms, the singular and plural) far more than they reward repeating one exact phrase. Look at the 2-, 3- and 4-word groupings, not just the single word, to understand how your topic is really distributed.
How to read your results
1-word, 2-word, 3-word and 4-word phrases
The report splits your content into phrase lengths because intent lives in phrases, not isolated words. A page about "running shoes for flat feet" should show that full phrase in the 4-word group — not just a high count of "shoes." Scan each group: your most important topics should appear near the top of the lists that match how people actually search.
How to spot (and fix) keyword stuffing
Keyword stuffing shows up as one term sitting far above everything else in its group — for example, a single keyword at 4–5% while the next term is under 1%. If you see that, you fix it by replacing some instances with synonyms and related concepts, breaking exact-match repetition across sentences, and cutting any phrase that was added for the search engine rather than the reader. The goal is a smooth distribution, not a spike.
Does keyword density still matter in 2026?
Less than it used to, and not in the way most people think. Search engines stopped rewarding raw repetition years ago. What still matters is the underlying signal density was a crude proxy for: is this page clearly, comprehensively about the thing the searcher wants?
So keyword density is best used as a diagnostic — a fast way to confirm your topic is unmistakable and your phrasing isn't over-optimized — rather than a lever you push to rank.
What Google's leaked documents reveal
Google's own search documentation references a keyword-stuffing measure, and the 2024 leak of internal ranking attributes added detail: there are stored signals related to term weighting and a stuffing score that flags over-optimized pages. The takeaway isn't "hit a number" — it's that the penalty side of density is real and measurable, while the reward side has largely been replaced by relevance and quality signals. In other words: stuffing can hurt you; repetition can't save you.
From density to TF-IDF and entities
Modern relevance scoring moved past simple counts. TF-IDF weighs a term by how often it appears on your page relative to how common it is across the web, so distinctive, on-topic terms count for more than generic ones. On top of that, search engines map content to entities — people, products, concepts and their relationships — rather than just matching strings. Practically, that means covering the related concepts a topic implies will do more for rankings than repeating the head keyword. Use this checker to confirm coverage and catch over-emphasis; use a keyword research or content-optimization tool to find the related terms you're missing.
Does keyword density matter for AI search?
AI Overviews, ChatGPT, Perplexity and other answer engines don't count keyword density the way a 2010-era algorithm did. They extract meaning, summarize, and cite sources they judge to be clear and authoritative on a topic. Stuffing a keyword does nothing to earn a citation — and can actively work against you, because over-optimized, repetitive copy is harder for a model to parse into a clean, quotable answer.
What earns visibility in AI search is the same thing density was always a weak proxy for: unambiguous topical focus, clear definitions, and content structured so a machine can lift a direct answer. So use this tool to make sure your topic is obvious and your phrasing is clean — then optimize for being quoted, not for hitting a percentage. That shift from ranking to being cited is exactly what generative engine optimization is about.
When to use this tool
Competitor content analysis
Drop in a top-ranking competitor's URL to instantly see which keywords and phrases they emphasize. It's the fastest way to reverse-engineer the topical focus of a page that's already winning, so you can match its coverage and then go deeper.
Pre-publish content checks
Run drafts before they go live. Checking density on text input lets you catch an accidental over-used phrase or a missing target keyword before publication, instead of editing a live page after it's already been crawled.
Keyword density best practices
- Write for the reader first; check density second.
- Keep your primary keyword present but natural — think "clearly on-topic," not "hit 1.5%."
- Lean on synonyms, related terms and natural variations instead of repeating one exact phrase.
- Place your keyword where it carries weight: title tag, H1, the first 100 words, at least one subheading, and naturally through the body.
- Cover the related concepts a topic implies — breadth beats repetition.
- Re-check after editing; small rewrites shift distribution more than you'd expect.
Your content is never stored
When you paste text into this tool, your content is analyzed in the moment and never stored, logged, or read by a human. When you check by URL, the tool only fetches the publicly available page body. Your drafts stay yours.
Frequently asked questions
Paste your text or a URL into the tool and click Check. It's free and unlimited with no account required, and returns a full breakdown of keyword frequency and density percentage in seconds.
There's no official target, but content that reads naturally usually lands around 0.5% to 1.5% for the primary keyword. Above roughly 2.5% to 3% you risk appearing to stuff keywords. Treat these as guardrails, not goals.
Not a direct one. Google rewards relevance and quality rather than raw repetition, and excessive density can trigger keyword-stuffing penalties. Density is best used as a diagnostic to confirm your topic is clear and not over-optimized.
Divide the number of times a keyword appears by the total word count, then multiply by 100 to get a percentage. For example, 10 mentions in a 1,000-word article equals 1% density.
Keyword stuffing is overloading a page with a keyword in an unnatural way to manipulate rankings, such as repeating it far more than the content warrants, listing it out of context, or hiding it. It violates Google's guidelines and can lower rankings.