People say that LSI keywords have the power to boost Google rankings. Is this true, or is it yet another SEO myth? Read almost any article about and you’ll be told two things: Google uses a technology called LSI to index web pages. Using LSI keywords in your content helps you rank higher on Google. Both of these claims are technically false. In this guide, you’ll learn why that is and what to do about it. But first, the basics… Latent Semantic Indexing (LSI), or Latent Semantic Analysis (LSA), is a natural-language processing technique developed in the 1980s.
Unfortunately unless
You’re familiar with mathematical concepts like eigenvalues, vectors, and single value decomposition, the technology itself isn’t that easy to understand. For that reason, we executive email list won’t be tackling how LSI works. Instead, we’ll focus on the problem it was created to solve. Here’s how the creators of LSI define this problem: The words a searcher uses are often not the same as those by which the information sought has been indexed. But what does this actually mean? Say that you want to know when summer ends and fall begins. Your WiFi is down, so you go old school and grab an encyclopedia. Instead of randomly flicking through thousands of pages, you lookup “fall” in the index and flick to the right page.
Here’s what you see
What are synonyms? Synonyms are words or phrases that mean the same or nearly the same thing as another word or phrase. Examples include rich and wealthy, fall and EL Leads autumn, and cars and automobiles. Here’s why synonyms are problematic, according to the LSI patent: […] there is a tremendous diversity in the words people use to describe the same object or concept; this is called synonymy. Users in LSI Keywords different contexts, or with different needs, knowledge or linguistic habits will describe the same information using different terms. For example, it has been demonstrated that any two people choose the same main keyword for a single, well-known object less than 20% of the time on average. But how does this relate to search engines? Imagine that we have two web pages about cars.
