Topic Clusters in Rank Intelligence On-Demand Data (formerly Ad Hoc)

Topic Clusters in Rank Intelligence On-Demand Data (formerly Ad Hoc)

Keywords you submit to Rank Intelligence On-Demand Data (formerly RI Ad Hoc) for rank and/or search volume checking are automatically grouped into topical clusters. Watch this video to understand what those clusters mean and how to use them for your keyword research and content strategy.



The goal of SEO is simple: drive more organic traffic to your site. 

And there are really just two ways to increase traffic from organic search. You either have to improve the rankings of the keywords you're already being found for on Google by optimizing their landing pages and content, or you have to rank for more keywords that are relevant to your site and business by creating and optimizing new pages for those keywords. 

An effective strategy to grow a bigger pie is topic clustering. Advancements in machine learning and natural language processing have enabled Google to better understand queries as belonging to topical groups or clusters, yet with each retaining its distinctive meaning and intent. The fact that Google has a unique intent and ranking for each keyword in a topically-related group can be a rich gold mine for creating content better targeted to the specific needs of your audience. 

Topic clustering takes advantage of that by organizing keywords into semantically and/or SERP-rank-based groupings, with numerous keywords falling under a main or target keyword. 

In seoClarity, keywords you submit to Rank Intelligence On-Demand Data are automatically grouped into topic clusters. The representative keywords in the Clusters tab are the top-level topics for the keywords uploaded for this project. In a content strategy, these might represent high-level content that you'd build a content topic cluster around. 

seoClarity's clustering engine takes into account actual Google search results, so the keywords you see in a cluster are those that Google itself sees as highly related and often ranks similar pages for. 

Open a representative keyword to see the cluster. Notice that this site has a page that ranks second for one of those keywords, but on the second page of search for the other two. Perhaps they should create a new page that is more focused on the concept of easy and simple dinner ideas rather than recipes. 

Exploring the clusters can reveal opportunities where it might be best to prune, splice, or create new content to increase your ranking opportunities. Clusters can also reveal gaps in your content. Here we see that this site ranks for the representative keyword, but not for any of the other keywords Google sees as related. 



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