Build SEO Content Strategy Based On Topic and Keyword Research Data

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It does not matter which type of content you are writing (or creating) to build up you’re the visibility of your Hong Kong small business, but the main thing is to ensure you know what your end goal is. It has long been said that writing solely for the search engines is dead, especially when Google is the main search engine your content is going to target. Actually, it should be rephrased as the old school way of writing for search engine robots are dead. The end goal of your content strategy may be to create evergreen content, an article for the search engines (e.g. Google, Yahoo, etc), or a short article for the social media sites (such as Facebook, LinkedIn, etc).

An experienced Hong Kong SEO company would have told you this example: Content that has been written for traffic and rankings would have been very different than content that was intended to get big traction across different social media sites. Always, go back to the beginning and revise your content strategy. Your content strategy must be able to account for the different types of content that are required.

The thing is that you will need to do the topic research, instead of old school keyword research, even it is only for local SEO (i.e. Hong Kong SEO). Search engines especially Google has got so much smarter over the years. It is absolutely essential that your content is written to cater to topically relevance. The written content should not simply be perfect for the optimization of some keywords. Let’s call the new way of keyword research the topic research for now.

But how are you going to know those keywords or topics? What about the tools? If you know exactly how to do a proper keyword research and topic research, even when you are using the free keyword tools (such as Google Keyword Planner or Ubersuggest), you will still be able to gather the keyword and/or topical data that is required to build your content. As long as your keyword suggestion tools can return local-based data (i.e. Hong Kong data), the data modelling can gradually be built.

Though it hasn’t been completely proven insufficient practical situations, the newest concept is this: The best may well be combining the two methods i.e. Keyword research and topic research. As you will never know how well the results are going to turn out. In doing so, you may have to apply topic modelling which can serve a bunch of different search engine user needs. At the same time, it must be able to target many different keywords in a particular search engine user intent model. Test it through many different combinations of page titles, headings, sub-headings, and more. The quantifiable targets would be to check against the changes in SEO traffic and organic rankings in all those tested topics.

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