View Full Version : What are LSI keywords?

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

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.

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.

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.

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.

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.

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

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.

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.

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.