LSOtool® is an online application to improve your search engine ranking considerably by using the right content.

We do not provide content as in copywriting. What we do is provide the scientific basis for you to write your own successful content. We research and deliver the relevant, on-topic words and word combinations that relate to your search term according to the criteria of the major search engines (e.g. Google).

In order to create this ideal content – which is called ContentDNA – we employ the same techniques that all major search engines use when they rank websites for a certain search term. Like everybody else, we have NO access to the exact algorithm from any search engine – but by using their exact same techniques we approximate the parameters to get as close as possible to the ideal content (ContentDNA) according to their algorithm.

The reason? LSOtool® employs the same techniques as all the major search engines to establish the ideal content – or ContentDNA – for each search term.

Once we have obtained the content, LSOtool® applies Latent Semantic Analysis (LSA)
and Latent Semantic Indexing (LSI). Both techniques are used by all major search engines, but we use them in reverse order, to retroactively approximate what the most relative content for a certain search term is, according to the search engines.

At the moment our application is fully developed for Google. We anticipate being operational for Yahoo in the very near future.

While ContentDNA is always an approximation of the exact ideal content, we have fine-tuned our parameters for the LSA and LSI application to get as close to that ideal as possible. We estimate our results to be 90%+ correct for the Google database at present. As the Google algorithm is a living computation, regularly subject to slight adjustments, we calibrate our approximated algorithm for every run on the original formula.

The ContentDNA we provide is a list of words and word combinations, which together form an estimation of the complete ideal content according to the targeted search engine, for the given search term.

There is a good reason to work this way: the LSA technique, used by all major search engines, breaks all content down into words and then compares this with a lexicon. All search engines ONLY work with words in their lexicon, not with sentences.

Once we have the individual words for the ContentDNA we go further, approximating the most likely combination with other words in the ContentDNA. If there is a correlation, this results in a word combination; if there is no correlation, this results in single words.

When you assemble these words and word combinations together to form a grammatically correct text, with the help of our writing guidelines, you will be as close as is technically possible to having the ideal content.

Bear in mind that you will always have to write your own finished content. As you know, content on the internet should always be unique. Copying the text of others is liable to be punished with lower rankings by the search engines – whereas writing your own will boost them. But it’s vital that what you write corresponds to the ideal ContentDNA for your chosen search term as closely as possible.

You will also always need to take care to write grammatically correct content with the words and word combinations. Today’s search engines are smart enough to penalise you (with a lower ranking) if you do not.

Latent Semantic Optimization is about using the ContentDNA for a certain search term to write a grammatically correct text in order to get a higher ranking for that search term.

“As you know, a good ranking is mainly based on just two things: unique valid content and good back-linking. We provide one of these key components…”

Note:  We do NOT pretend to be able to deliver the exact ideal content. We assume this is impossible because neither we, nor anybody else – except for the owners of the major search engines – has the exact algorithm that does the indexing. But we HAVE developed a technique that is able to simulate this process as closely as possible, resulting in the approximation of the ideal content: the ContentDNA.

We are presently the only company that has invested in a server park, web servers and crawlers that enable the retrieval of ideal content (ContentDNA) by starting with a search term, and using LSA and LSI in reverse. Knowing what it takes to get this far, we are also convinced that we will stay in the leading position for some time.