Why You Must improve your Content Relevancy Score

In this lecture you’re getting to learn one among the foremost brilliant SEO factors that I even have ever seen.

It’s called Content relevance SEO factor.

By the top of this lecture, You’ll also find out how Google computes the content relevancy score of your content supported your target keyword.

This factor springs to try to to the semantic evaluation of the content listed within the search results.

That is, to know the general concept or theme of the content instead of simply matching the keyword with the content.

This is done by analyzing the keyword and therefore the content separately from each other .

For a given keyword, the more relevant the content of the page, higher are going to be the content relevance score.

This score or this content relevance SEO factor significantly influences the Google search ranking of a page for a relevant keyword.

The relevancy of your content to the search users keyword isn’t just determined by the presence of that keyword within the title or description or internal and external links.

Then how does Google determine this content relevance SEO factor?

There’s an excellent , yet simple algorithm that’s hiding behind.

Let’s assume that the user has looked for the keyword, search engine optimization.

Let me open the primary 3 results and demonstrate to you ways Google would calculate this content relevancy score.

The first step during this algorithm is to get rid of all the occurrences of that long-tail keyword program optimization from the content to be analyzed.

In this manner, most of the on-page optimizations that you simply could have finished that specific keyword would vanish into nothingness .

In step 2, the algorithm computes how relevant the content on the online page is, to the searched keyword, search engine optimization.

Well, how can it do that?

Although Google may need some untold secret functions therein algorithm, the known function is that it’s for the proof and relevant terms, and check out to compute the general semantic density of the content for the target keyword or target topic.

This content relevance SEO factor is expressed as a score with a worth between 0 and 100,

where 100 being the foremost relevant and 0 being the smallest amount relevant.

As per the recent research data, for the general content relevance SEO factor, the correlation is 4%, whereas, for the Central page area, the correlation is simply 2%.

This shows us that the general semantic relevance of your content is more important than that of the central page area.

So if you’re writing content that has some core relevant content only at the middle of the article and if the remainder of the article deals with the tangential topics, then your content relevancy score are going to below.

According to these graphs, landing pages within the top positions are significantly more relevant to the searched phrase or keyword.

But, as we noticed earlier the primary and second positions are haunted by brands that Google rewards consistent with the brand factors.

The likely rationale behind the brand factor’s is that Google values recognizability, user trust, brand image, and reflects this within the program Result Pages alongside other ranking factors.

The research data also shows that the content relevance, both for the whole page and for the central area, decreases because the position within the search result, drops.

The highest content relevance scores were found amongst the results for positions 3 to six .

Thereafter, the landing pages on subsequent positions show lower relevance scores.

To reconfirm my claim that the presence of just the target keywords alone within the description, headings, or links doesn’t have that much importance anymore, I wish to point out you this graph.

Here the content relevance SEO factor is computed, including the search term.

Previously, the search terms were removed first then the algorithm computed the content relevance score, whereas, here the search term isn’t excluded, so it’s just the old fashioned method.

This graph is simply to point out you that keyword stuffing doesn’t work anymore, whether it’s for targeted keywords or for the other related keywords.

You don’t got to check out the graph too, just check out the correlation factor.

It’s zero.

So this content relevance SEO factor which is computed including the search term, doesn’t have any influence on the ranking of the search results.

So, if you would like a foothold against your competitors, you would like to enhance your content relevancy score for your articles.

To do that you simply got to do the subsequent.

You cannot stop your keyword research right after finding your keywords and wish to proceed further and find the proof terms also because of the related terms for the keywords that you simply have found already.

Then you would like to extend the general semantic density of your article Also attempt to attain the proper Flesch readability score that’s apt for your target keyword or the subject you’re writing about.

Most importantly, make your post as comprehensive as possible, answering most of the search user’s questions.

Also, attempt to make it interesting with tons of relevant images, resources, and videos if possible Finally, from a user experience point of view,

use a font size larger than 16px and provides an honest vertical spacing between lines, to form the content easy on your reader’s eyes

Before I conclude this section on general content optimization, you would like to understand the influence of adding keywords in description, internal and external links also.

So, let’s start with the importance of Keywords in internal links within the next lecture.


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