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LSI (Latent Semantic Indexing) keywords are words and phrases that are semantically related to a primary keyword. In other words, they are words and phrases that are closely related in meaning to a given keyword, but are not necessarily synonyms. LSI keywords are based on the idea that search engines try to understand the context of a web page and the content on it, and they look for related words and phrases that can help them better understand the page.
Using LSI keywords can help improve the relevancy and quality of content on a web page. By including related keywords and phrases, a page can provide a more comprehensive and relevant picture of the topic being discussed. This can help search engines better understand the content on the page, which can in turn improve its ranking in search results.
In addition to improving the relevancy of content, using LSI keywords can also help reduce keyword stuffing, which is the practice of overusing a specific keyword on a web page in an attempt to manipulate search rankings. By using related keywords and phrases, webmasters can provide a more natural and comprehensive picture of the content without relying too heavily on a single keyword.
There are various tools available that can help identify LSI keywords for a given topic, including Google's Keyword Planner, LSIGraph, and SEMrush.
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