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How can I use the pillar-cluster model to transform my blog?


The way to do SEO has changed! So we decide to discover new SEO method that can
do leverage on different technology…
And as it turns out, the way in our company we were creating our editorial calendar, targeting keywords, and publishing blog posts last year wasn’t optimized for the way people are searching for information this year.
The new idea is to introduce the “topic clusters” in order to discover why they’re so important to creating a good experience for searchers, as well as helping our company content rank in search engines more effectively.
IT is natural that such technology has evolved and changed, so too has the way people search for the information they need on search engines like Google. Voice search on devices like Apple’s Siri, Amazon Echo, Google Home, and Microsoft’s Cortana has changed the way people search because, instead of typing, they’re having an easy conversation with a machine in order to find the information they was looking for.
A recent study indicate that, 20% of Google searches on mobile or Android devices are now conducted via voice search.
And what’s new, search engine bots are getting smarter, and using machine-learning technology, so when searchers ask questions or input keywords, search engines surrounded by artificial intelligence algorithms can interpret the meaning of terms to try to find the best possible content that mach your request.
If you consider the topic cluster model, instead of creating blog posts designed to rank for specific, long-tail keywords, you can organize your blog posts into specific topic areas — anchored together by one webpage that provided a broad overview of the topic, which then hyperlinked out to more specific, deep-dive blog posts that made up a topic cluster.
So the results is a chain activation where each of these blog posts hyperlink back to the pillar page, and some hyperlink within each other.
This is really a new model that helps share domain authority in order that all blog posts within a cluster start ranking for the specific keywords they’re written for.

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