Latent Semantic Indexing (LSI) – Definition

Expanding on what we have seen previously, we can define Latent Semantic Indexing as how Google analyzes our website to establish semantic relationships within our content. In other words, in addition to seeing the keywords we have wanted to position a specific range, Google also considers those terms semantically close to the keyword we have chosen. For example, if we write an article about “balls,” it is very likely that words such as “balls” or “balls” will appear throughout the post. These terms will support Google’s idea that our article is about balls.

Indeed when you have read the terms  Latent Semantic Indexing (LSI), you will have thought that it was a complicated term, but as you have seen, the explanation has been straightforward.

What does Google Consider as Latent Semantic Indexing (LSI)  Related Terms?

We know that Latent Semantic Indexing can list those aspects that Google considers as semantically related terms. In the «previous» example of the «balls,» you have surely got a little idea:

Singular and Plural Variations: ball and balls.

Male and female: In this example, it would not be valid but imagine that we want to position the word “lawyer.” How about we also use the phrase lawyer?

Synonyms: Ball, ball, ball, etc.

Nouns, adjectives, verbs, and linguistic variations in general: Weight, heavy, weight, etc.

As you can see, a quick review is enough to get many related terms. However, below we will see a set of tools that will be useful to you to extract associated terms.

Tools to Extract Related Terms

If we want to yield advantage of Latent Semantic Indexing to optimize our SEO positioning in Google, Google offers better tools. The Google Keyword Tool not only aids us in analyzing the level of searches for a particular keyword. The option “Ideas for keywords” will give us a lot of suggestions that we can use.

There is also a compelling extension with which you can extract the entities that the first ten results deal with for a specific query, query, or search (maximum SEO xd). This extension is called ” Entity Extractor,” and Fede Gomez created it. Notice the words highlighted in bold. Already in the first two searches, it indicates a related term: tourists. You can also use Google-related searches to find semantically related terms. For instance, if you search for “SEO,” Google will propose the following relationships.

How to Implement Latent Semantic Indexing (LSI) in my SEO Strategy?

At this point, we will see how to join Latent Semantic Indexing into our SEO strategy. The advantages? We can easily list them:

  • Greater content richness.
  • Reinforcement of the primary term that we want to position.
  • Positioning of several related terms, not just one time.
  • In short, higher quality of content.

Finally, we are going to see the steps we have to follow to take advantage of Latent Semantic Indexing:

As you know, SEO-optimized content must contain a keyword density between 2% and 5%. Now that you understand what Latent Semantic Indexing is when you write to optimize a particular keyword, you will not only use this term. You will also search for other related terms. For example, if we write a guide on web positioning, we can use “SEO positioning,” “SEO optimization,” and “Search Engine Optimization” as related terms.

The length of the title tag is too short of including related terms, but the meta description is not. The optimal size of this tag can be up to 160 characters. This length is sufficient to take advantage of Latent Semantic Indexing. For example, if I want to write a guide on web positioning, I can put: “Guide on Web Positioning: Tips and Tricks to optimize the SEO Positioning of your Web page.”

We can also include related terms in the H1, H2, H3 tags, etc. These tags (also known as heading tags ) provide information to Google about the content on the page. We don’t always have to include our target keyword. We can consist of related terms.

The Alt tag (or descriptive text) of an image provides information to Google about the image’s content. We can include related terms in this tag as well. And finally, we can take advantage of Latent Semantic Indexing when building links.

In short, we can take advantage of Latent Semantic Indexing in our SEO positioning strategy and, especially, in content writing. Would you like to learn how to create SEO-optimized content? Find out! In the IEBS Master SEO, we teach you how to do it…

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