How To Search For The Right Keywords For SEO

Keyword Research: How To Search For The Right Keywords For SEO

The standard approach to keyword research for an SEO strategy is a based on a quantitative assessment of information: a site, a page or a post may contain a keyword a no of multiple times, or not contain it at all.

We transfer this concept to practical use. The desire to buy a home and start my search on Google. I search the search engine by entering the keyword "buy Palermo" (yes, I live in Palermo) and among the returned results appear a series of contents containing the keyword inserted.

This is what according to the standard approach found for quantitative matrix keywords.
In practice, the found some outcome in the SERP related to this research says anything but.
Why then does searching engine return those results? How do you understand what I'm looking for even if I did not type a word in the document?

This practical case shows two aspects in concrete:

1.  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 on the web.

2. The results returned in SERP the user's search intentions and not (only) of the entered keyword.

In practice, asking Google "where to buy the home in Palermo," the algorithm semantically incorporates the information contained in the web and provides the results based on the user's search intent: he wants to buy a new home, and consult real estate ads.
Therefore, changes the way we have to think and carry out the explore some keyword in an SEO perspective.

The " semantic revolution " in SEO has started with Hummingbird, most of the "heavy" updates of the Google algorithm that since 2013 has progressively introduced new information management criteria with the aim of "humanizing" its operation and make the system increasingly suitable for dialogue with users. Here on the TagliaBlog, it already has spoken in this post of October 2013, still very current.

Let's go into more detail trying to understand what is the LSI and how to exploit this "way of thinking" of the search engine for the selection of keywords.

To use a method correctly, indeed know the internal logic. The  Semantic Indexing (LSI, in Italian Indexing Semantic Latent) is a keyword research methodology used by look for engines to identify the content that a user is a calculation that goes beyond the usual concept of keywords inserted.

The LSI uses a series of semantic associations (meaning of words, in the sense of a relationship between terms and concepts) that link keywords to other conditions that lexical root.

Concerning the past, therefore, the LSI abandons the concept of exact match(relationship of correspondence between query and result) to embrace a type of "semantic" relationship based on a document.

The Semantic Indexing comes out of the scope of Search Engine Optimization. His creation aimed at a particular goal: to index automatically, overcoming a fundamental deficit of some information retrieval techniques already existing, the semantics.

Applied to SEO, this way of indexing and searching for information forces us to rethink how we.

The (LSI) is base on a logical principle: terms second-hand in the same situation.
The original feature is the aptitude to recognize and extract the conceptual content of a document and to answer the questions through an evaluation of the other materials present in the archive.

Search engines use Semantic Indexing to try to understand better what the user is asking.
To do this, first, analyze the indexed documents by linking terms around a concept and then establish another association between the questions users make and the thoughts that are indexed.

One of the best examples of an application of this technology is the Google Knowledge Graph: based on the search term inserted, Google identifies an object, relates it to other objects and returns the results SERP.

The "traditional" approach (definition of concepts, search for keywords and positioning in essential areas) is entirely valid and dogmatic, but what we have seen so far indicates that search engines tend more and more to a semantic knowledge of research that we do, going beyond the simple search for literal concepts in titles, similes, and imagery.

Means that practices such as keyword stuffing (repeating keywords deliberately in the text) or artificiality in the selection of titles, content, and descriptions will increasingly be penalized natural and "more human" content.


To interpret the meaning of a searching keyword, Google uses two methods.

The first is quantitative, that is the analysis of websites that are in position for the same keyword from which the frequent majority vocabulary establish in texts (standard approach) that extracted.
The second method is qualitative and respects the principles of LSI seen so far focusing on semantic and lexical relations between words or expressions.
The interaction between these two methods creates classifications and categories. It is a communication between taxonomy of coincident terms and taxonomy of semantic fields and lexical families.
NB: We call a semantic field a are linked by meaning and belong to the same grammatical category (eg semantic field of transport: motorcycles, cars, trucks, bicycles, We call lexical family all the words that share the same lexeme or root and, consequently, have some relation of meaning (e.g., lexical family: wall, wall, Mason, wall, etc.).


Before diving into keyword research, it is significant to appreciate the diverse types of keywords.
To start with we take two factors into account:
Research intention
Search volume

The purpose of research is nothing more than the reason that pushes the user to perform a search, and keywords in 3 types:
1.    Informational: they are inserted to search for information of different types. For example today's events in the city, Palermo weather today, how to prepare pizza, etc.
2.  Transactional: the purpose of the search is to complete a transaction. For example: download an image or ebook, buy an SEO course, buy a trip, etc.
3.    Navigational: the research aims website. For example Facebook, eBay, Tagalog, etc.

The search volume, instead, indicates the number of searches made for a keyword and we can divide it into three groups based on the specificity of the keyword:
Head: keywords composed of a single term, with a high volume of research and top competition.
Middle tail: more specific searches, consisting of 2 or 3 times. Less game than the "head" and secondary search volume.

Long tail (long tail): Hyper-specific searches composed of 4 or more words, with little competition and mostly transactional. And this is where the excellent number real opportunities are the found!

How To Search For The Right Keywords For SEO  How To Search For The Right Keywords For SEO Reviewed by Seo Blogging Hub on 05:42 Rating: 5

1 comment:

  1. its help me a lot to rank my website in google bundle of thanks.


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