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Latent Semantic Indexing Keywords: What You Need to Know

Search engine optimization (SEO) professionals use various techniques and strategies to improve search engine rankings. Some are conventional, while others are not as common. Latent semantic indexing (LSI) keywords is a technique that hasn't been widely used. This is worrisome as LSI is incredibly helpful for your SEO strategy. To help remedy this, we thought it would be useful to put together a brief article about this subject. If this is something that you're interested in learning more about, read on as we break down everything you need to know LSI keywords.

What Are LSI Keywords?

To put it simply, LSI keywords are words that are related to the main keyword in the content, but not explicitly. These keywords help support search engines by improving their ability to identify the main topic of a piece of content and providing accurate results to queries and user intent. In other words, latent semantic keywords go beyond synonyms and semantically related words to include user intent.

What Do LSI Keywords Do?

Latent Semantic Analysis, also known as Latent Semantic Indexing (LSI) or LSA, is a natural language processing technology developed in the 1980s. It’s a complex mathematical technology that uses semantics to connect search keywords to relevant topics. Think of it as a method of grouping words into similar concepts. If I say “vacation,” you’re probably going to think of Hawaii and the beach. LSA uses this concept to find relationships between search keywords and topic clusters.

Another issue for LSI is the meaning of polysemous words and phrases. Polysemous uses the same word with multiple meanings. For example, the word “chair” could mean a seat or a person who heads a committee, or the word “dim” could mean low light or that a person has scant intelligence. Search engines that return inaccurate results as a result of the way search terms are worded will lose users who grow frustrated with the search and find another service. LSI has resolved this problem by grouping related words and phrases together.

How Do LSI Keywords Work?

A computer cannot identify relationships between words and phrases, so LSI is a method for computers to learn the relationships between words and phrases. LSI assigns a numerical score to each word, phrase, or document based on their relationship to others.

LSI is used to make connections between individual concepts or words and phrases within a document. For instance, take the concept of fall, the season, as an example. We wouldn't consider fall to be a synonym for autumn since there are slight differences in the definition of each. They seem similar, but there is something more to them. In addition, there are related sentences and phrases that function as synonyms but aren't exactly the same as fall. These include spring, summer, winter, the four seasons, and so forth, and are of semantic relation. LSI can also be used to find semantically related words that aren't synonyms. These words would include race car, truck, SUV, tires, road, etc.


We hope this article proves to be useful when it comes to helping you gain a better understanding of how LSI keywords work and how you can make use of them to improve your overall SEO strategy. As you can see, LSI keywords are incredibly useful as long as you utilize them the right way. Be sure to keep everything you’ve learned here in mind so that you can make the most informed decisions for your business.

If you need SEO services in Artesia, contact Mountain Lotus Digital. We are a Digital Agency specializing in Web Design, Web Development, Search Engine Optimization (SEO), Online Reputation, and Social Media Management. We can provide Wix, WordPress, or custom-coded sites, and we're Legend Level Wix Partners.

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