Well, there’s no official density declared by major search engines but keeping it on the lower end i.e. below 3% might keep your website pages look readable and non-spammy. On a site with a few pages, you can quickly find out over-optimized pages, but what if the site is large?
WebsiteCrawler’s N-Gram analysis report reveals overoptimized pages on the entire site with one click of a button. The check is automatically performed on content discovered while crawling pages and our N-Gram analysis report displays the list of keywords and the page URL. The report provides an option to filter keywords by their densities. WebsiteCrawler provides a stopword filter as well.
Stopwords are commonly used words in a language. For example, “to”, “and”, “if”, etc. Unless, the site is a dictionary portal, people maynot target the page for the stopwords. WebsiteCrawler’s filter will discard all stop words found in the content on the page before generating the N-Grams and reveals only the pages that you need to work on.
How the filter works? Our platform first checks the language of the content on a random page and then applies the stopwords filter for the detected language before generating the report data. WebsiteCarwler.org can detect 75+ languages. If the pages on your site is not categorized by a language, the stopwords set for the first detected language would be applied. It is not feasible to detect language for each page for the N-Gram analysis report. This page per language detection works only with our spelling checker. What if the pages are categorized ? Run the crawler on the directory e.g. if example.com is your domain and the French language pages belong to the category “fr”, enter the URL to crawl as example.com/fr/. If you do this, WebsiteCrawler.org will detect the “French” language and will produce the “French” stopwords.
WebsiteCrawler’s N-Gram analysis report supports keywords of length up to 5. Each filter can be applied to the word set you’ve chosen.
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