Keyword Research for Semantic SEO

Keyword Research Is Heading Towards Semantic SEO

June 06, 2017

Keyword Research Is Heading Towards Semantic SEO is presented by Webcertain.

Search engines are ever-changing, increasingly shifting their focus on user intent and behaviour. As a result, keyword optimisation is also changing, and calling for a more ‘semantic’ SEO. As people are online more often than ever before, search engines are doing their best to adapt to the new ways in which users are searching on the web, and improving their algorithms accordingly.

Keywords alone are no longer sure to match up the query with the user’s intent, and a different approach is required.

When selecting its results, Google now takes into consideration much more than the single keywords: it takes into account the semantic fields of the words, i.e. synonyms, connections, location, etc. The aim is to create a more predictive and personalised search experience; the rise in the number of answers appearing in answer boxes is just one manifestation of this.

The aim is to create a more predictive and personalised search experience

Keyword Research for Semantic SEO

Semantic search: The details

Semantic search works through semantic fields, which include synonyms, co-occurrence, related topics, and lateral ontologies. These allow search engines to understand the meaning of a certain word or phrase.

In the everyday world, humans use context to identify significance and narrow down the different possibilities of meaning that a word has. Search engines, however, do not have this luxury, and they give us a list of results which encompass all the possibilities. They then remember our choice to deliver more accurate results in future searches, taking into account things like user intent, country-specific preferences, and behaviour. This is why search engines give different search results for the same word in different countries.

To better meet the needs of users, keyword research is moving towards topic research.

This gives search engines many more elements with which to understand the true intent of a query. In topic research, one doesn’t think of individual keywords anymore, but of correlated entities.

To improve your website structure you need to keep in mind the degree of semantic proximity of the page content, as it considerably influences the domain name, sub-domain and sub-folder. If two topics are closely related, it is useful to combine them in a single domain name to enhance the topic authority; however, if they are very far apart, their presence in a single domain could be detrimental to both.

A semantic approach means rethinking website structures to have fewer but better-structured pages.

Recent changes in Keyword Planner

Currently, when searching the volume of a keyword, Keyword Planner alters the queries, combining different keywords instead of showing individual volume estimates for each keyword. Essentially, it groups keywords into ‘buckets’, thus reducing the keyword pool. The main reason why this is happening has to do with user intent. Search engines store information about user behaviour and use it when it comes to displaying search results. A downside of this change is that estimates on traffic and volume are becoming less accurate, showing averages rather than numbers.

It is worth pointing out, however, that the changes which are happening are not consistent and there is no best practice that works equally well across all languages.

For this reason, it is vital to involve professionals with first-hand knowledge of the language and culture who can accurately interpret the data in relation to the user intent.

For a more in-depth guide on semantic SEO, as well as the differences in other country-specific search engines such as Yandex and Baidu, click here to download the full guide.

Download the Semantic SEO Guide

Resources

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