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Will Latent Semantic Indexing Improve Your Infobarrel Articles?

By Edited Jul 16, 2016 1 4

What Is Latent Semantic Indexing (LSI)?

Latent semantic indexing is a mouth full of words more commonly expressed as LSI. You could spend hours investigating the background of  latent semantic analysis and still end the day completely confused.

The purpose of this article is not to attempt an explanation of the LSI process but rather to explain why any  author or marketer who writes articles as a means of receiving free organic traffic from Google search engines should apply to LSI.

It is pretty much an accepted fact that the Google search engine is the choice of the majority of internet searchers. How often do we hear the statement, “Just Google it”. This is important to internet marketers because it also means that Google on average is responsible for sending about 80% of online visitors to any given website or article.

Your business and your websites can survive without Google traffic, but missing out on that huge potential traffic source is just not good business. Google has spent untold amounts of money in it's attempt to provide quality relevant content to it's search customers. If they were not constantly on the alert and allowed the content provided through their search engine to deteriorate, their advertisers would soon find other venues to place their paid adds.

The content on your site or in articles submitted to Infobarrel is one factor that Google considers when deciding whether your article deserves to be on page one instead of another similar article. How is it that a search engine which after all is just a machine or a piece of software can search a site and determine the quality of  a given article? Certainly machines and artificial intelligence have advanced rapidly. However have they reached the point, where they can read a group of words as a human would and determine the quality of those words?

Google Issues A Press Release Regarding Latent Semantic Indexing

In a press release from 2003 Google made an announcement regarding the purchase of LSI technology that may help us to understand how Google “Bots “ or “Spiders”  that crawl your article are using LSI as one means of  assessing the quality or authority of  any given article. Below is an excerpt for this press release: You can find the complete press release here:


MOUNTAIN VIEW, Calif. (April 23, 2003) – Google, developer of the largest performance-based search advertising program, today announced that it acquired Applied Semantics, a Santa Monica, Calif.-based producer of software applications for the online advertising, domain name and enterprise information management markets.

The press release also stated:

“Applied Semantics’ products are based on its patented CIRCA technology, which understands, organizes, and extracts knowledge from websites and information repositories in a way that mimics human thought and enables more effective information retrieval”

So how do we as article authors and marketers use this information to improve the quality of our articles in Google's eyes?

Latent Semantic Indexing Is Simple To Apply

Basically what all this means is that when an article is written Google would expect to find not just a primary keyword but a group of, “relevant”, keywords related to the primary keyword. If these additional words are not found than the software might conclude that the article is really not informative or of sufficient quality to list it above other similar articles.

To keep a reader interested in your article and also to convince Google “spiders” that your article is indeed worthy of a high placement it must be informative, answer questions and even entertain. Because in most cases our articles will be scanned and rated by software and not by a human, we will need to make sure that certain related words are included.

For instance if you were to write an article about acne the software or even a human reviewer would expect to find words such as: treatment, dermatology, vulgaris, and rosacea. If your article does not contain such relevant words it may be considered lacking in authority or of providing insufficient information. In the worse case the software may rate your article as keyword stuffed, which will certainly guarantee your article a place in some dark never to be discovered database.

Once you make the decision that your articles must contain latent semantic or semantic analysis types of related words, where might you find the best source of the most important words related to your primary keyword?

If you agree that Google does in fact place great weight on these special relevant words, could you then assume that the ten articles or pages appearing on the first page of a Google search would most likely contain a number and assortment of these valuable words?

But how might we search these ten top sites and determine which words are appearing in all of them, that may have helped them reach a high position. Certainly a manual search is possible and there is also a paid software tool which will do this work for you.

Fortunately there is also a free tool which will do a very competent analysis of the top ten sites and return a list of commonly repeated words found in all of these sites. It will also separate the words into lists of one word, two word and three word phrases.

In addition it will tell you how many times each word or phrase appears in these sites. This is valuable information. You can then check some of these words for search volume and competition and choose the best 5 to 10 to include in your article.

It is a simple matter to take a completed article and work these words and phrases into existing sentences or add additional sentences which of course improves the quality of your article.

The free software is very simple to use and is web based so you don't need to download it to your computer. Simply type in the primary keyword and choose whether you wish to search the top 5 first page sites or the entire 10.

You can find the software here: http://lsikeywords.com

Of course, the only way to know for sure whether adding these related words or using latent semantic indexing will improve your Infobarrel articles, is to test them.  If articles are your business than never accept any advice as gospel until you test it in your own situation.

I feel confident that once you began applying LSI to your articles, you will notice a marked improvement in search engine placement which of course improves your income.

This video will demonstrate the use of th efree tool mentioned above.

If you found this article helpful you may want to read this one also:

Get Backlinks To Your Articles With Socialmonkee



Sep 10, 2011 9:18pm
That's a good tool. I've been studying LSI for years and apply what I've learned to my articles. It has paid off.
Sep 11, 2011 12:48am
Woah! So that's what you guys do now: talk to machines! ("j). I must confess I am actually a newbee in this game but I am a smart one and I am taking this latent sematic thing very seriously. Very informative article. Keep it up dude ;-)
Sep 11, 2011 1:35am
Excellent article; probably the information I need to improve my articles.
Sep 23, 2011 10:45pm
I am a new writer and I just learned about LSI. You made a great case for using it. This is a wonderful tool.
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  1. Google "Press Release/Google Aquired Applied Semantics." http://www.google.com/press/pressrel/applied.html. April 23, 2003/April/2003.

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