Latent Semantic Indexing Technology Tutorial and Techniques

The Latent Semantic Indexing, LSI, is one of the most sophisticated methods used by search engines with the purpose to provide users relevant search results. The technology was bought by Google in 2003, from Applied Semantics.

It is an extremely advanced technology which mimics the human mind, able to achieve high semantic text processing. This means that a search engine is able to determine the relevance of a page depending on the context of the search query.

Google has actually used the Latent Semantic Indexing technology for a long time now, for adsense. The purpose was to display relevant advertisements on websites. Now, the system is being implemented when it comes to content, too.

This new technology creates content that is themed around a certain topic. Themed content is important for users, as it provides them something they are more comfortable reading. Naturally, the search engine and the readers are the main beneficiaries of the LSI technology.

With this new technology, Google ranks better the sites which include content that uses related terms, synonyms and alternative meanings. This means that top pages for a keyword will include sites that use LSI words.

What is Google’s inner circle?

Google’s inner circle of results is a collection of pages the search engine has for each keyword. An article that features essential theme words recognized by the search engine will be included in this inner circle. However, an article that includes no such necessary essential theme words is treated as supplemental index. Consequently, that article is kept away of Google inner circle and will not be displayed in the search results of the keyword it targets.

Themed content vs. Ordinary content

Themed and ordinary content are considered to be very different. Themed content is treated as superior to ordinary content, and the main reason for that is because it represents what Google wants, at least at the moment.

Themed content includes theme words that Google wants to find in a certain article. The more themed an article is, the higher it will rank in Google, being included in its inner circle, too.

How to write SEO content in 2013?

SEO’s future was completely changed by this latest Google technology. In fact, Latent Semantic Indexing technology allows sites to rank well basing on more than the primary keyword, but actually including two, three or even more secondary keywords. A well written article, which includes all the right theme words, will rank well with no exception.

LSI Tools

Luckily, there are many tools that can be used with the purpose to find out which theme words should be applied, related to the primary keyword, to rank well. is simple to use. The keyword should be entered in the search box of this tool and a number of results will be displayed. is another great tool. It is free to use and can be quite helpful in finding good theme words. can be useful, too. You can get dozens of results with this tool, but not all of them will be relevant.

For instance if you type dog training in the aforementioned tools, you will find many theme words and theme phrases such as: dog training tips, dog obedience training, puppy training, dog obedience, obedience training, puppy, tips, dogs, training, among many others.

There are no rules to follow when choosing theme words. However, you need to pick the ones you think will work best to rank your site on the first page of results. SEO needs to use the power of LSI, otherwise you will watch your pages fade away slowly. Latent Semantic Indexing can identify relationships between words, content and pages, determining this way relevance and position.

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John Colston is currently the leader and coordinator of our team of writers. He lives in Colorado and is collaborating with Ironclad Integrity Unlimited Ltd since 2006.John is a passionate independent journalist with a lot of experience in team building and human resources management.If you have any questions, suggestions or editorial complaints about, contact John at

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