The Importance of Latent Semantic Indexing (LSI) SEO Keywords

Importance of Latent Semantic Indexing
When we hear the term Latent Semantic Indexing (LSI), we may initially think that it will be quite complex and understood only by people who are SEO experts. I think the concept is wrong that Latent Semantic Indexing (LSI) is required by SEO experts to understand SEO keywords.

So we will discuss these Latent Semantic Indexing (LSI) keywords in detail, our blog will discuss how to use them for the benefit of search engine optimization (SEO), how LSI will work.

What is Latent Semantic Indexing (LSI) SEO?

Experts have given several definitions regarding Latent Semantic Indexing (LSI) SEO, including:
LSI is a system in search engines to search for words related to search results by users. The LSI keyword is in itself a word or phrase that has a high degree of engagement or correlation with the subject being searched. Google uses this to determine whether a content is relevant to the keyword.
LSI Keyword is the concept of linkage of words used by search engines to better understand the content of a website.
- Brian
Based on the two definitions given by the above SEO experts, we can conclude this:
Latent Semantic Indexing (LSI) is an SEO system or concept that search engines use to understand appropriate content (content, images, videos, etc.) in the context of a web page or blog. The reference that is then obtained is used as a reference in searching topics related to the given keyword.
- EasyTask
With respect to the above conclusion, we should have also understood about LSI and LSI Keyword . These 2 things are different even though they are one unit.

We should know that LSI is the concept, while LSI Keyword is the concept's purpose, ie keyword.

We have found in many people and many articles that say LSI keyword is synonymous with a keyword. But this is not true at all. Because LSI keywords are more than synonyms for related keywords.

It is more appropriate to say that LSI keywords are keywords that are generally related to the subject being searched in search engines. So synonyms are actually included, but are certainly not limited to synonyms for targeted keywords.

How Latent Semantic Indexing (LSI) Works

A search engine cannot process information like humans in data processing. Man uses language, context or content, relationships and even expressions of information to understand the purpose of that information.

For example, when we talk about smartphones with our friends, we can understand that our friend is talking about smartphones, even if he has not said the word "smartphone".

This happens because in conversation we get information or words related to smartphone such as camera, RAM, ROM, internet quota, memory, application or other keywords related to smartphone. In fact, we can also understand the appearance of our friend's gesture and see how the smartphone he has.

Search engines cannot process data in the same way that humans do. Because search engines have limitations to read the expression of context and information.

If we say "Internet quota" and "camera", the search engine (before LSI becomes available) will assume that what we are talking about is the Internet quota and camera, not smartphone. Because we are not using the word "smartphone".

For other examples we are talking about football without including the word "soccer" and using only the word "ball", the search engine (before using LSI) will assume what we are about We are talking about and what type of ball the ball is, so that the search engine will show a picture of a "ball" that is round and different in shape, ranging from basketball to tennis ball.

But, with LSI, search engines can correctly understand the content of websites and blogs, even if the main keywords are not contained in the content.

Function of search engine before the existence of LSI concept

Before search engines like Google used this LSI concept, they focused only on keywords that were repeated in a website's content pages (blog posts) to understand their content. In simple terms " search engines used to work based on keyword density in blog posts ".

For example, when a website repeats the word "soccer" in content, the search engine will clarify that this website The page or blog post is about "football".

That's why content keyword density was an effective SEO technique in the past.

If we do not repeat keywords in a blog post, Google would not have known the purpose of our post.

But nowadays, the search algorithm have changed. Google is now designed to be more "smart" than ever before. Google has now implemented the Latent Semantic Indexing (LSI) concept.

Google Search Engine Working with Latent Semantic Indexing

With Latent Semantic Indexing (LSI), Google does not follow repetitive keywords (keyword density) using the new concept, but returns search results by referencing keywords related to the topic.

For example, we searched Google for " How to make money from Facebook ", then Google would immediately search for keywords that are in the content.

Google will search for keywords with a search query found in a blog post or website:

  • Page Title
  • Post Title
  • "Alt" tag (image alternative tag) image in post
  • Tag Heading H2 and H3 (Heading Tag)
  • Meta Description
  • Search Description
  • Post URL (URL)
  • Post content

After Google receives the keywords contained in our blog, our content will be immediately included in the top search results based on the related keywords.

SEO Keyword Analysis for Latent Semantic Indexing Search Algorithm

The keywords that have been derived from our blog, Google will gather it immediately to find the main subject or topic of our post.

In the example we created, Google will display search results by compiling keywords related to each other, such as Facebook Money, How to Make Money, Make Money with Facebook, Make Money Online, etc. This post discusses "Easy ways to make money from Facebook"


Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt.

Post a Comment