Glossary keyword - LSI (Latent Semantic Indexing)

LSI (Latent Semantic Indexing)

Latent Semantic Indexing is a mathematical equation of finding hidden relationships between words for the accuracy of information retrieval. In simple words, this concept helps search engines to find how keywords and content that are related.

With each passing day, search engine algorithms become increasingly advanced; they understand the subject of the content and keywords that can be related. However, these keywords are not different every time. Sometimes synonyms also define how the content is perceived. Therefore, LSI keywords can be synonyms or words that are usually found together in the content because they share the same meanings. For instance, Apple and iTunes, hot and dog, typically appear together. They support the same context. But hot and dog mean different things individually. It is LSI that helps algorithms understand the correct usage.

Benefits of Latent Semantic Indexing

Latent Semantic Indexing keywords consist of a significant part of SEO strategies. They bring a lot of benefits to the optimization process. First, it helps to avoid creating spammy content. Using exact keywords a lot of times decreases the readability of a post. It is better to add variations of exact keywords- LSI keywords. These words are semantically connected to the main topic and different than the exact one. Therefore, they create smoothly flowing content with natural keyword usage. Besides, LSI aids in decreasing the bounce rate. Let’s think about the ASUS notebook and the movie “The Notebook.” No user looking for the film would like to get a result of the ASUS page or vice versa. Hence, LSI helps to define which content the website is related to. 

Usage of LSI keywords

LSI keywords need to have an even distribution throughout the webpages. They should fit naturally. People can use these words in titles, headings, URLs, meta tags, paragraphs, or alt text of pictures. Similar to exact keywords, overusing of LSI can look like keyword stuffing and result in penalties. It is better to use one LSI per page.

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