Keyclusterer how to#
Here’s a guide you can to help decide how to handle them: Like most SEO answers, it depends – and it depends on the keyword. Do I need to include all the clustered keywords?.Should clustered keywords be used as subheadings?.How do I use clustered keywords in my article?.What should I do with the clustered keywords?Ī common question people ask is how to use Similar Keywords. The match percent is how similar the keyword is to the main keyword. Keyword Chef also tells you the search volume and match percentage. Once we have our location set, we can create a report one of two ways:įor this example, I’ll be importing a list of keywords manually by clicking the import button right of the search bar. This is important because Keyword Chef will be fetching the search results for each keyword. This can be done by clicking on the globe left of the search. If you want to target a country other than the United States, be sure to change the geo-location settings first. The first step to clustering keywords is to create a keyword report. Let’s see how this Keyword Clustering Tool feature works in Keyword Chef… Thankfully, we can cluster keywords easily in just a few clicks using Keyword Chef. It’s quite time-consuming to check the SERPs for every keyword and compare links. The higher the number, the more relevant the keywords will be to each other.Īs you can probably see, this is not an easy process to do manually. Usually, the minimum number of matching links is 3 or 4. If two keywords meet the minimum number of matching links between their SERPs, we can assume they share the same search intent. With SERP-based keyword clustering, SERPs are analyzed for every keyword. Today, however, clustering is best done by matching search intent, also known as SERP-based clustering. In early SEO days, keyword clusters were based on the linguistics of the keywords themselves. Now that we understand what keyword clustering is, we can learn how to do it. What tips do you have for keyword clustering?- Ben Keyword Chef March 11, 2023 Allows you to rank for more keywords for the same article
Keyword clustering is the practice of grouping together similar keywords that share common search intent. If you wrote an article on each of those keywords, Google would only rank one of those pages. For example, if you had “how to cook a pizza” and “how to bake a pizza”, even if those keywords are technically worded differently, they really mean the same thing. Keyword cannibalization is when you have two articles trying to rank for keywords that are too closely similar. The other benefit of keyword clustering is to help prevent keyword cannibalization. The more you cover a particular topic, the more chances you have to rank for additional keywords and get more traffic. Allows you to rank for more keywords for the same article.In short, keyword clustering has two benefits:
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