Keyword Density Checker
Paste any text — landing page copy, blog post, product description — and instantly see your top single keywords, 2-word, and 3-word phrases with density percentages. Spot keyword stuffing before Google does.
Results appear automatically as you type (min. 10 words)
What Is Keyword Density?
Keyword density is the percentage of times a specific word or phrase appears relative to the total word count of your content. If "indie maker" appears 5 times in a 250-word page, the density is 2%. It is a basic on-page SEO signal that helps Google understand what a page is about, but it is also a signal that can backfire when over-optimized.
Google's language models have become sophisticated enough that they no longer require exact keyword repetition to understand topical relevance. What they do penalize is unnatural repetition that reads poorly to humans. Keyword density as a metric is useful as a ceiling check: it tells you when you have gone too far, not exactly how many times to use a phrase.
Density Guidelines by Content Length
Primary keyword: 5-10 occurrences (1-2%)
2-3 word phrase: 2-4 occurrences
Primary keyword: 10-20 occurrences (1-2%)
2-3 word phrase: 4-6 occurrences
Primary keyword: 20-40 occurrences (1-2%)
2-3 word phrase: 6-10 occurrences
Keyword Stuffing vs Natural Keyword Use
Stuffed (avoid)
"Our keyword density checker checks keyword density. Use our keyword density tool to check keyword density percentages in your keyword density analysis."
Natural (aim for this)
"Paste your content to see how often each term appears. If your primary phrase shows above 3%, rewrite a few instances to use synonyms or restructure the sentence."
Why 2-Word and 3-Word Phrases Matter More
The average Google search query is 3-5 words. When someone searches "keyword density checker free", they are not searching for "keyword", "density", and "checker" independently. They are searching for that specific phrase. Checking 2-word and 3-word phrase density tells you whether your content is naturally aligned with the multi-word queries your target audience actually types. If "free SEO tool" appears 8 times on a 300-word page, that looks manipulative even if no single word is over-represented on its own.
Keyword Density and AI Search Visibility
AI retrieval models use term frequency as a topical signal alongside semantic embeddings. The most effective pattern for AI visibility is: use your primary term in the H1, in the first paragraph, in at least one H2, and in the conclusion, then use semantic variants throughout. Running this tool on your content helps confirm that your primary phrases appear enough times to register as topically central, without tipping into the over-repetition range that degrades content quality signals.
Frequently Asked Questions
What is the ideal keyword density for SEO?
There is no universally correct density, but 1-2% for a primary keyword is the widely cited safe range. Below 0.5% may indicate the content is not clearly focused on the topic. Above 3% starts to look unnatural and risks triggering Google's Panda algorithm, which penalizes low-quality and over-optimized content. The better question is not 'what percentage should I hit?' but 'does my keyword appear as many times as it would in a naturally written article on this topic?' Write for humans, then check the density as a sanity metric.
Does keyword stuffing still hurt Google rankings in 2025?
Yes, actively. Google's Panda algorithm (now core algorithm) specifically targets keyword stuffing and thin content. Keyword stuffing means inserting a keyword repeatedly in ways that feel unnatural to a human reader: in the footer, in hidden text, with excessive bolding, or crammed into every sentence. Google's language models are highly sensitive to unnatural keyword repetition and treat it as a spam signal. Pages with stuffed keywords typically rank lower and may be manually penalized in egregious cases.
What are LSI keywords and should I target them?
LSI (Latent Semantic Indexing) keywords are conceptually related terms that appear in content about the same topic. For a page about 'email marketing', LSI keywords include 'open rate', 'subject line', 'unsubscribe', 'click-through', and 'drip campaign'. Google uses these co-occurrence signals to understand whether a page genuinely covers a topic in depth. Including related terms naturally (not forcefully) tells Google your page is comprehensive. Use this tool to check that related terms appear in your content, not just the primary keyword.
How does AI use keyword frequency to understand page content?
AI retrieval systems that power Perplexity, ChatGPT, and Google AI Overviews use term frequency as one of several signals to understand what a page is about. Pages that repeat a term many times in context are strongly associated with that term in retrieval models. However, over-repetition does not linearly improve retrieval — there is a ceiling beyond which additional repetition provides no benefit and may introduce noise. The most effective pattern for AI visibility is: use the primary term in the title, first paragraph, and in headings, then use semantic variants naturally throughout the body.
Should I check keyword density for 2-word and 3-word phrases?
Yes, and this is often more useful than single-keyword density. Most search queries are 3-5 words. A 2-word phrase like 'keyword density' or a 3-word phrase like 'keyword density checker' is more specific and typically easier to rank for than a single keyword. Checking phrase frequency also catches patterns like repeating 'free SEO tool' seven times on a short page, which looks manipulative even if no single word is over-represented. Aim for your target 2-word phrase to appear 2-4 times on a 500-word page.