Latent Semantic Indexing (LSI) is a system used by Google and other major search engines (Update: read here, thanks for the Tweets, guys) The contents of a webpage are crawled by a search engine and the most common words and phrases are collated and identified as the keywords for the page.
LSI (Latenet Semantic Indexing) is used by google and different search engines which can check the last updated website details. You can search on Google and there will be a small arrow next to the URL and then click on cache. You will find the details.
You can check Google keyword tool and look for terms that are related to your keyword. You can also try looking at related terms at the bottom of the page when you search for a certain keyword.
You now know about LSI keywords. They are the related keywords for a particular keyword. There are several LSI keyword tools. Among them, the Google search is an excellent tool, all that matters is, you have to learn how to use it. Here’s the simplest way. You can find LSI keywords from search suggestions. And also from related searches at the bottom of the SERPs.
These Related keywords are also called Related LSI Keywords (rLSI).
Latent Semantic Indexing (LSI) is a used by Google and other major search engines The contents of a webpage are crawled by a search engine and the most common words and phrases are collated and identified as the keywords for the page.
Google being one of the easiest ways for getting LSI Keywords. Here, you only need to search a keyword, and the rest of the things will be done by Google only.
You can also View the same LSI Keywords in the search results.
keywords which depend on primary keywords is called as Latent Semantic Indexing. you can prepare your own LSI keywords using the Google Keyword Planner.
The biggest problem with LSI keywords is that there are not many tools available for researching LSI keywords related to your target keywords. The easiest and most convenient method for doing this is by using a Google search. Whenever you search for any keyword in Google, it shows more searches related to similar keywords.