How to Create Topic Clusters for SEO AKA Keyword Content Clusters

Discover how to create Topic Clusters for SEO. Sometimes, they are referred to as Content Clusters or Keyword Clusters, and they are a great way to group together your content topics into topics and sub-topics, while also keeping keywords in mind. When you want to expand the keywords you are targeting and create comprehensive content, using SEO clusters can help with your search engine optimization efforts, and it is one of the main reasons that people can rank their websites on the first page of search results. Some marketers will say to focus on topic clusters rather than keywords, but I believe they all work together. You still want to target keywords and group them together. The best way to focus on short-tail and long-tail keywords is by utilizing topic clusters. In the video, I will go over a topic cluster example and show you how to create topic clusters. I will also give you a topic cluster template, which shows you a pillar page and the way you link off to cluster pages. When Google is crawling your content and your pages, they will be able to see that you have created great content around an entire topic and each individual sub-topic, which will help increase your rankings. One reason that clusters work for SEO is because it takes a lot of time to put together 5, 10, 15, or even 20 pieces of content and to link them all together. In addition, when people search popular keywords in Google, you can have the website that covers the topic best. You are not only solving your customers problems, you are creating great content for search engines. It is a win-win all around. Topic clusters will work in 2019 and 2020 for SEO as long as you focus on creating cluster pages and pillar pages and linking them all together. If you want to rank for some of the most popular keywords, you need to have the best source of information on the internet. What is a topic cluster? It is when you cover a topic and break it into sub-topics, cover them as well with individual pi