SEO Tips: Using Related Search to Optimize CMS Tags
Sometimes a low-tech SEO technique is in order to cut through all of the convoluted complex SEO tips and online search tactics. This is one of them.
By using this simple method, you can promote keyword stemming in Google to broaden the appeal of your preferred audience by giving the search engines (that collect and suggest click preferences from humans) additional semantic preferences to classify and funnel traffic to your posts.
Why Tags are Important?
Have you ever considered why tags are important? Just like if you walked into a store and were standing in front of a shelf full of cans and all the labels were white without text; you may have difficulty in distinguishing one can from another or what the contents are inside. Tags work the same way for SEO and information retrieval systems such as search engines.
Tagging content and using relevant tags matters because this practice inherently helps search engines derive context of pages cataloged in their index. The more help or layers of consistency you produce, the more optimal your pages become, meaning they have less resistance and a higher degree of relevance than a competitor that is not employing similar optimization tactics.
Sure, you could spend hours perfecting your keyword research through extensive competitive analysis tools, or you can ask Google for stemmed variations or related search based on similar searched phrases depending on the context of a keyword and modifier.
Enough Talk, Time for the SEO Tip
If you are using WordPress or another similar content management system, the moment you publish your content it then gets aggregated through an RSS feed. A large percentage of who links to your content is based on the way you tag your posts.
This means, that if you fail to specify the context, you are leaving potential visitors that would or could engage your offer, content or commerce out of the equation based on superior tags and tag naming conventions. This SEO tip can remedy that, just use keywords based on Google’s related search algorithm.
Since you are trying to appease Google to begin with (since they have dominant market share), just conduct a search for the root phrase and see what related searches at the bottom populate based on the search engines relevance model.
For example, if I type in a search query for “Search Engine Optimization” in a search query, I also see related / suggested searches for
These keywords are there because they were toggled by users typing in enough searches that a contextual occurrence now binds them under the same umbrella based on the profile of search queries executed.
So, if I wanted to reinforce a broad match topical range of semantics, I could easily implement keywords that were algorithmically related in real time (when looking for tags or additional keyword to include in a post) by using tags or developing related content for the main topic / silo to build into a virtual theme of topical posts.
The “theme” is the main topic and the silos are the supporting articles that reinforce relevance for all things related (based on the array of keyword modifiers). Toggling theme density implies targeting semantic clusters, which is essence is accomplished through the tags becoming links and adding weight to global on page relevance with ease.







































