Onpage SEO Era SEO Modern - Study Case, Let's Try it !

As long as there is spare time, this time I want to share the problem of onpage seo especially in content optimization, hopefully it could be your reference and guide for the more blogs.

1. Keyword Research

I will only discuss the parts that are rarely noticed when doing keyword research.

Always use Long Tail Keyword

Based on his search demand There are only 2 types of keywords:

• Head Keyword

• Tail Keyword

When you select a keyword, always select keywords that belong to long tail keywords. Because usually keywords in this category have value / value for your business or blogging activity.

Unfortunately there are many misconceptions about Long Tail Keyword. Almost all guides mean Long Tail Keyword is a keyword with the number of words 3 words or above 3 words.

This is not entirely true, because there are 2 keyword words or even 1 word that belong in Long Tail Keyword. For example: Selling Bicycles, this keyword is classified Long Tail Keyword although only 2 words.

Long Tail Keyword no correlation with word count. To understand what is Long Tail Keyword you must understand keyword classification based on monthly search count. How keywords can be said Long Tail Keyword (Keyword tail / long tail).

source

It is said Long Tail Keyword because its shape is like a long tail. And this describes many of his keywords in the cluster.

Keywords classified as Long Tail Keywords usually contain 3 or> 3 words. But that does not mean keywords with 1 word can not be classified Long Tail Keyword as I example above.

Keyword selling bikes have 2400 search counts per month, and from the above table keyword "bike sale" enter in long tail keyword cluster.

Collect List of related keywords (NOT LSI / LSA)

Part 2 that is often forgotten is to collect topics relevant to the target keywordnya.

LSI can be skip by Rank Brain for certain sentence because in machine Learning there is called Stemming & Lemmatization. So even if you use synonym will still be in the same keyword class and not unique.

This is also the reason why google can easily classify a content is not original or often called Spun Content.

Related topics here his intention is to find topics related to the keywords you are discussing. Missal for keyword "SEO"

List Related Topics:

• Search Engine

• Google

• Matt Cut

• PageRank

• Content

• Link

• Search Result

If I use word2vec from Wikipedia content for SEO keyword then the result like this:

source

The point you must first understand your keyword target so that you can classify what topics should be discussed to strengthen the relevance of the target keyword.

If the first ubbersugest there is a feature called wordcloud, where wordcloud using machine learning to collect words that are important for the targeted keywords. Unfortunately this feature is not there after the update to nailbotakdotcom.

For temperatures that have been commonplace brain around machine learning can use word2vec from Wikipedia to find ideas related topics / related to a particular keyword / word.

For example here I want to find relevant keywords for word: Rank and Link

source

For the words Rank and links, the three most dominant words / relevant are:

• Search (60%)

• Web (57%)

• Result (54%)

So for example I want to make a sentence I can put into those 3 words to strengthen the word Rank and Link.

Missal:

"Your website needs more links to rank higher in search results."

All words or topics related to seo topics should be in the list and collected for the idea of ​​creating content later.

1. Content Optimization (Onpage SEO)

Onpage seo also has a lot to discuss, so I will not repeat what has been discussed and just discuss what I understand still work and relevant to the current algorithm.

Use "Main Topic Content"

Talk about content optimization, system or algotima is the closest there is the algorithm "Hummingbird" which is currently also in the process by Rank Brain.

With the Algorithm Google can predict exactly the content of the content you write. What information you are discussing as well as relevant to Search Query.

Before the Hummingbird era, the Long Tail Keyword that you get from keyword research results will usually make all keywords into 1 content. But in the Hummingbird Era it will be useless and ineffective.

source

Take a look at the picture above, you no longer need to make all your keyword research results into separate Content, just create 1 content with the discussion of each Long Tail Keyword that got in before.

Eg for target keyword: "Craft From Bottle Used"

You do not have to create "Craft from a used bottle" content or make all content from keyword research results into separate content, such as:

• How to make Craft from used bottles (content 1)

• How to make Craft from cardboard (Content 2)

• How to make Craft from wrapping paper (Content 3)

• How to make Crafts from ice cream sticks (Content 4)

Simply create 1 content that discusses all the results of that keyword research. For example: "101 ideas make Handicraft from used goods".

Handicraft from used goods is main topic which can also include smaller keyword scope like above list, so with 1 content you can rank many keywords.

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