Yet, for all it's built up to be, very few people have ever heard from anyone other than themselves or each other that this concept even exists in any way.
In addition to that, Google has never publicly stated that they use Latent Semantic Indexing in their index. They've never denied it either, but let's look at the facts.
1. Latent Semantic Indexing translates into a search engine algorithm determining patterns of use and associations in order to find a common meaning among words.
This means that words like cat and feline would be considered essentially the same thing.
If this were true, one could manipulate LSI keywords in order to keyword stuff articles and blog posts beyond normal capacity. This is what marketers and SEO's swear by when they do articles or build links. LSI works.
2. Google has made no claims to confirm or deny the existence of LSI indexing in their algorithm. LSI deals with one of the most complex and open ended concepts a computer can comprehend: meaning.
Meaning is something taken for granted. The computational energy required to determine meaning is so overwhelmingly huge that it seems highly unlikely Google would integrate it into their index considering they have to reference billions of pages of content. They need the most efficient way of doing it.
3. The Google search function itself completely reverses the supposed claims of those favoring LSI indexing. If LSI indexing were really active in the search engine algorithms, you could type in a synonym and end up with almost the exact same search results.
Go to Google and type in the words cats and felines. Notice how other than Wikipedia which leads to different pages on the same sites, the sites listed are entirely different.
This doesn't explain how Google could possibly understand that the two are the same thing. If Google were smart enough to understand meaning, it would understand that these two terms are identical and that a person who types in either one is looking for the same thing.
But that's not the case, is it?
Yet the LSI facade continues...
Why LSI Came About...
LSI is merely the result of SEO's who have spent years working on a solution to create keyword relevant content by providing a ton of keywords into one article, as much as they could possibly handle.
People use LSI because of two reasons:
1. They believe it works. The placebo effect is so powerful that when two groups of people who both had minor knee problems went in for knee surgery, a control group wasn't given any kind of operation while the other group was.
Both groups got better.
People being convinced of something working is that strong. Because people feel like LSI works without any controlled, tangible way of measuring it, it causes them to work harder and feel like they've accomplished more. They haven't.
2. It forces them to use related keywords, which are a powerful part of the Google index. People are always crossing these two terms over each other almost interchangeably. LSI and related keywords are pretty different, but using LSI makes a person use related keywords almost by default.
This makes people keyword stuff their articles in a way that actually is productive for SEO purposes.
And, in fact, LSI keywords are often times considered related keywords because of their tendency to be used in the same pieces of content.
This doesn't make them LSI, nor does it prove that LSI even exists. It simply proves what Google already knows and leverages in the most efficient possible way.
That sometimes people just use the same damn words in the same damn paragraphs. It doesn't mean Google can read your mind.
Sorry if I sound mean. I am just sick of people who don't know what this word means throwing it around.
LSI is something that hasn't been effectively integrated into any modern search engine. We are years away from technology like that.
Just say what these words really are, which is related keywords. That's it. Nothing more.
If you disagree with me, please put some information directly from Google that conflicts with my analysis.