Latent Semantic Indexing: A Case Study
What do you consider Google as semantically related terms?
Now that we know what is Latent Semantic Indexing we can prepare a list of those aspects that Google considers semantically related terms. In the "before" example of the "balls" sure that you have become a little idea:
Singular and Plural variations : ball and balls.
Male and female : In this example would not be valid but imagine that we want to position the word "lawyer" ... What if we also use the word lawyer?
Synonyms : ball, ball, ball etc.
Nouns, adjectives, verbs and linguistic variations in general: weight, heavy, weighing etc.
As you can see just a quick run to take many related terms. However, then we will see a set of tools that will be useful to extract related terms.
…show more content…
The optimal length of this tag can reach 160 characters. This length is enough to take advantage of Latent Semantic Indexing. For example, if I want to write a guide on SEO I can put "Web Positioning Guide: Tips and Tricks to optimize your SEO Positioning Web page."
We can also include related terms in H1, H2, H3 tags , etc. These labels (also known as heading labels ) provide information to Google about the content of the page. We need not always include our target keyword, we may include related terms.
The Alt tag (or descriptive text) of an image provides information to Google about the content of the image. We can also include related terms in this label.
And finally, we can take advantage of Latent Semantic Indexing to build links . Link Building strategy optimal it must contain a minimum variety in the texts of the links. So ... Why not besides the main keyword related all these terms we use?
In short, we can use the Latent Semantic Indexing in our SEO strategy and positioning, especially in the drafting of content. Would you like to learn how to create content optimized for SEO? In the Graduate SEO IEBS show you how to do it ... Find out more !
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