Online Text Analysis Tool

Keyword analysis tool is designed for SEO optimizers and allows you to analyze in detail the content of the page of interest for its relevance to one of the search queries.

Recently, search engines (Google, Bing, etc.) have been paying special attention to page meta tags and its textual content, so the optimizer needs to carefully develop the landing pages so that their content and meta tags meet all the requirements of search engines. For example, if the title tag is "spammed" with keywords, or the page content is oversaturated with them, the search engine can pessimize the site’s position according to the request of interest, or the opposite: if there are not enough keywords in the meta tags and in the text of the page, the website will have low positions.

The proposed tool allows the SEO-optimizer to follow the recommendations of search engines and avoid oversaturation of keywords on the pages of the website.

The main criteria by which the page of the website can be called "ready" for search promotion:

• page text size is in the range of 1500-2500 characters
• the page contains one <h1> tag and, if possible, the <h2>, <h3> tags (≥ 1)
• the number of occurrences of each keyword does not exceed 3-5%
• the page does not contain excess tags <b>, <strong>
• all external links are closed in "noindex"
• there is at least one graphic image on the page, decorated with alt and title tags
• if possible, there is a design of the text with lists and tabular data

Following these rules, you can increase the position of the website and make the page more friendly not only for the search engine, but also for the user, which in itself will lead to improved positive feedback from the user and increased conversion (growth of orders, targeted calls).

Thus, using this text analysis tool, the optimizer, by varying the number of occurrences of the keywords on the page, as well as editing its contents and meta tags, can achieve the optimal match of the ratio of key phrases to content, which will positively affect the attitude of search engines.