Post by account_disabled on Jan 9, 2024 21:17:39 GMT -6
Keyword Research: how to search for the right keywords for SEO purposes keyword research come cercarle Keyword Research The standard approach to keyword research for an SEO strategy is based on a quantitative evaluation of information: a site, a page or a post can contain a keyword a certain number of times, or not at all. Content index Let's transfer this concept to practical action. I want to buy a house and start my search on Google . I search on the search engine by entering the keyword "buy a house in Palermo" (yes, I really live in Palermo) and among the returned results a series of contents appear which contains the keyword entered. This is what should happen according to the standard approach to quantitative keyword research .
In practice, the results in the SERP relating to this search say something completely different. shows, the Malaysia Phone Number List indexed pages do not contain the entered keyword . Why then does the search engine return those results? How does it understand what I'm looking for even if I haven't typed a word in the document? This practical case concretely shows two aspects: We are in the field of semantic SEO , and in particular of a method that has revolutionized - perfecting it - the way in which the "machine" (in this case the BigG search engine) analyzes and indexes the contents present on the web: Latent Semantic Indexing . The results returned in SERP take into account the user's search intentions
and not (only) the keyword entered. In practice, by asking Google "where to buy a house in Palermo" , the algorithm semantically incorporates the information contained in the web and provides the results based on the user's search intention: he wants to buy a new house, and to do so he must consult real estate ads. This, consequently, changes the way we need to think about and carry out keyword research from an SEO perspective. The " semantic revolution " in the SEO field began with Hummingbird, one of the "heaviest" updates to the Google algorithm which since 2013 has progressively introduced new information
In practice, the results in the SERP relating to this search say something completely different. shows, the Malaysia Phone Number List indexed pages do not contain the entered keyword . Why then does the search engine return those results? How does it understand what I'm looking for even if I haven't typed a word in the document? This practical case concretely shows two aspects: We are in the field of semantic SEO , and in particular of a method that has revolutionized - perfecting it - the way in which the "machine" (in this case the BigG search engine) analyzes and indexes the contents present on the web: Latent Semantic Indexing . The results returned in SERP take into account the user's search intentions
and not (only) the keyword entered. In practice, by asking Google "where to buy a house in Palermo" , the algorithm semantically incorporates the information contained in the web and provides the results based on the user's search intention: he wants to buy a new house, and to do so he must consult real estate ads. This, consequently, changes the way we need to think about and carry out keyword research from an SEO perspective. The " semantic revolution " in the SEO field began with Hummingbird, one of the "heaviest" updates to the Google algorithm which since 2013 has progressively introduced new information