Scientific Analysis Tool Optimizes Your Content!

Check this video to learn more about this service

• Scientific Tool Optimizes Your Content

  By analyzing a chosen keyword and the text you want to rank for it, Text Tools generates a detailed report of semantically related terms used in the highest-ranking webpages in search results for that keyword!

• Get Better, More Stable Search Rankings

  Increase the relevance of website content, and to make that content more discoverable to search engines.

• Analyze Your Market And Competitors

  Gain insights into how high-ranking competitors achieve their results by scientifically comparing their content to yours.

• Create Targeted Content For Your Niche

  This semantic analysis suggests the best terms to include in your text, and how your competitors compare. You can analyze as many different keywords and texts as you want – uncovering more and more ways to improve your content and send highly-targeted traffic to your site.

Improve your onpage SEO by creating great content every user and search engine will love.

Our easy-to-use optimization tool provides a clear, detailed analysis of your website content and how to improve it.

With our analysis, you will find keywords and terms related to your content & you get ideas which topics and phrases are
still missing.

Uncover a host of new topics and ideal keywords for your target market – and attract more visitors to your site.

Find related searches with our build-in keyword tool.

Gain insights into how high-ranking competitors achieve their results by scientifically comparing their content to yours.

Live, on-page analysis can show your results before you even publish your text. Get suggestions which phrases you should add to
your text to make it more competitive.

Try our risk free service, cancel any time.

• Semantic Analysis

  Text Tools is a content optimization app based on a scientific formula known as WDF*IDF that calculates the quality of a body of text – such as on a webpage.

  The formula has been used successfully by top SEO’s and marketers in Europe to increase the relevance of website content, and to make that content more discoverable to search engines.

  A lot of people are using Latent Semantic Indexing (LSI), TF-IDF or Google Suggest interchangeably. To analyze the data, we are using a derivate of the TF-IDF formular: WDF*IDF

  The analysis is actually not as innovative as the SEOS worldwide treat the topic. The origins of the analysis go back to the seventies, even though they naturally were not drawn for search engines or other rankings. However the formula and the calculation of terms on which the analysis is based dates back to the seventies.

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• What is the WDF*IDF analysis

  The WDF*IDF analysis consists of two components:

  Within Document Frequency – WDF

  WDF describes the term weighting within a document. The term stands for the keyword which appears in a certain frequency in the text.
  This principle could represent the customary keyword density, however, WDF at the same time operates with a correction value which then allows for a uniform
  reference to result. In addition WDF is limited by the

  Inverse Document Frequency – IDF

  This area of the analysis does not only concentrate on one single document but refers the weighting of a certain term in the collection of documents analyzed.

  A more comprehensive explanation is available on www.wdf-idf.com