In some cases, it's not wise to use the exact key phrase over and over again. This tends to go against almost everything you've ever read about planned search engine optimization and keyword density percentages, doesn't it? In the SEO book alone, you've read about using key phrases in the exact same manner, over and over again, until the prime key phrase density is achieved. I've rambled about it throughout much of the book, and for good reason, it works, when done the right way.

This is why the guide you are reading now completes the Info Barrel Success series. This is something overlooked by many authors of both articles and books alike. Just in case you are wondering, this isn't new. Search engines have been using LSA (latent semantic analysis) and LSI (latent semantic indexing) to rank articles and sites for a few years now. Both are roughly similar, and have to do with making your articles flow well for a human, by making sure certain words and patterns are intact. This will be explained in more detail shortly.

The big reason you should know about this now, however, is that the search engines are getting better and better at analyzing your articles. This makes having at least some background on latent semantic indexing and analysis quite important. This guide, while not all inclusive, will give you the tools you need to make sure your articles don't suffer in page rank.

As you read through this section dedicated to LSI, you will quickly learn that many of the methods you need to do to optimize this have been discussed, although in only minor detail, in other guides of the Info Barrel Success series. I do feel, however, that there is a need to cover it, in more detail, since it can really impact your search engine rank, and impact your monthly income on Info Barrel, or other revenue sharing sites. You will find that making sure your articles are search engine friendly, and LSI friendly, is not that terribly hard. Those who don't take the few steps to ensure this, however, will likely fall a step behind in the fierce competition that is Google. Let's take a look at the nuts and bolts of LSI, and how it can really help you earn a lot more money with your Info Barrel articles.

What is LSI?

Latent semantic indexing (LSI) and Latent semantic analysis (LSA) are really more about making your article flow for a human being, than a search engine, to some extent. Yes, LSS is used by the search engines to help rank your article, but the search engine is actually trying to determine if the article was written with intent to provide information, or trick the search engine. The search engine looks for hints to figure out what the article is really about, and if it provides value to any reader. The articles that are deemed uninformative to readers are going to slip a great deal in search engine results. Taking just few minutes with each article, to make sure you have all the bases covered, will truly pay huge dividends.

As humans, we have certain pattern of speech, and in this case writing, that are almost unavoidable, at least when speaking or writing naturally, and not for the benefit of search engines. We tend to use certain words interchangeably. In some cases, the words have different meanings altogether. In addition, there are some words that may not be interchangeable, but are likely to come up when talking about any subject. It's sort of like speech patterns, to some extent. This is ultimately the best way to look at it all. If the article sounds relatively natural, while still maintaining proper keyword density, you have a great recipe for success.

For those interested, Wikipedia defines latent semantic analysis as; "A technique in natural language processing, in particular in vectorial semantics of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms."

This is a long winded way of saying write your article so it sounds good to a human, and not a machine, at least for our purposes. Write naturally, and it will flow the best, and get indexed in the search engine appropriately. You must truly focus on writing your articles with the idea of providing relevant information, and not just fluff. While it's tempting to add fluff instead of substance, which I am guilty of doing here and there, the results will likely not be in your favor. As time goes by, the search engines will continue to get better at analyzing the data you provide in your articles. While you may be able to fool them a little for now, you can bet you won't be able to fool them for much longer. It wasn't that long ago that you could use white lettering on a white background, which was invisible to the human eye and the search engines, and successfully keyword stuff, without getting caught. Oh my, times sure have changed. You must change with them, to protect your hard work and time investment.

Why is this used by search engines?

Search engines using these techniques to determine page rank, was really born out of necessity, more than anything. For years, you could pop out meaningless junk, still primed for SEO, and get a good rank. While the search engines could catch keyword stuffing, and other common issues intended to trick them, they could not catch meaningless garbage, at least in most cases. In addition, you could link other sites to your article or site, and trick the search engine pretty easily. While linking is still used today, the search engines are able to determine relevance, and other factors that go into determining page rank. For us, providing quality content is really the key to getting a good page rank, in most cases. Since I use four wheelers as the example for virtually everything else in this book, I'll stick with it. Here is an example of how you used to be able to write garbage on the internet, and still get a good rank with the search engines.

Fellow Info Barrel writer, x3xsolxdierx3x and I, created this 6-book course over 5 months!...We launched it on Warrior Forum at a VERY highly discounted rate...This price will not last much longer. You can see it here.

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