See what your text is actually about — top terms and phrases with density, plus the named entities engines can map. Aim for natural coverage, not stuffing. Runs in your browser.
A keyword density checker counts how often each word, phrase, and named entity appears in your text and shows the highest-frequency terms as a share of the total word count. It matters because it reveals whether a page actually covers its topic with the words and entities a query is about — without tipping into keyword stuffing, which both search engines and AI answer engines discount. Clear, natural term coverage is what lets ChatGPT, Perplexity, and Google AI Overviews recognize a page as on-topic and quote it.
There's no fixed target — aim for natural language where your main term appears often enough to be unmistakable but never so heavily that it reads as stuffing, which in well-written copy usually lands in a low single-digit percentage. Modern search and AI engines reward topical coverage and entities far more than any exact density number.
Raw density is no longer a ranking factor, but the signal underneath it — whether a page clearly uses the words, phrases, and entities a topic is about — still matters for both classic search and AI answer engines. The checker lets you see that coverage without over-optimizing.
Entities (people, places, brands, products) are how search engines and LLMs connect a page to a topic in their knowledge graph, so a distinct list tells you whether you've named the concrete things a query expects. A page about a topic that never names its key entities reads as thin.
No — the checker runs entirely in your browser, so your text is analyzed on your own device and nothing is uploaded. That makes it safe to check unpublished drafts.
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