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dennis123
03-07-2019, 12:43 AM
What are LSI keywords?

Ravina97
03-07-2019, 01:02 AM
LSI stands for latent semantic indexing, that is the technique that Google and different search engines use to check and compare relationships between totally different terms and concepts. These keywords will be used to improve SEO traffic and create more visibility and higher rankings in search results.

Simi123
03-07-2019, 04:19 AM
LSI keywords (Latent Semantic Indexing) are keywords semantically related to your main keyword. A lot of people think that LSI keywords are synonyms. But this is incorrect. LSI keywords are simply words that are frequently found together because they share the same context.

Saravanan28
03-07-2019, 05:54 AM
Using LSI keywords increases your keyword density and as well another most important benefit is Google doesn’t count these as keyword stuffing.

Neo_5678
03-07-2019, 06:15 AM
Latent semantic analysis is a technique in natural language processing, in particular, distributional semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms.

HosTechS
03-07-2019, 06:48 AM
LSI keywords are keywords similar to the primary keywords. On the contrary, it is believed that LSI keywords are NOT synonyms rather they just change on timely basis with the current trend.

dombowkett
03-07-2019, 04:18 PM
LSI keywords can be chosen directly from Google search results.

ametuniversity
03-12-2019, 05:46 AM
LSI Keywords are essentially keywords related to the keyword that you search for on search engines such as Google.

yuva12
03-12-2019, 07:15 AM
LSI keywords are essentially keywords related to the keywords that you are searching for, and Google does this by using a system known as LSI (Latent Semantic Indexing). In a nutshell, it is based on user search patterns and behavior, how one keyword search is usually linked to another keyword search.

sohailkhan
03-12-2019, 07:34 AM
LSI (Latent Semantic Indexing) keywords are words that are commonly found together within a single topic and are semantically related to each other.