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We therefore decided to update the keyword density check in Yoast SEO. In the new Yoast SEO the keyword density for your post has to be between 0.5 and 2.5%. In the old analysis, you could get away with a keyword density of as high as 4.5%. We’ve come to the conclusion that that’s just too high in this post-Panda world!
If you want to check your old posts and make sure their keyword densities are within our new guideline, you can do so. When you upgrade you’ll see (or have seen) a notice about recalculating SEO scores. This is one of the things we recalculate at that point. This does mean that a post that was green before can now suddenly turn red… If you can’t find that notice, you can find the tool under SEO → Tools.
In Yoast SEO premium we have a new feature which enables you to optimize for more than one focus keyword. You could use this in optimizing for two related keywords, allowing you to rank in Google on different keywords. You could also use this to optimize for two synonyms. Optimizing a post for two or three synonyms simultaneously while still requiring a 1% keyword density as a minimum, would lead to over-optimization and thus angry Pandas. This was one of the reasons to lower our “required” keyword density to 0.5%. We are actually working on some new functionality now, allowing you to treat synonyms and multiple keywords differently in our Content SEO analysis. As that has multiple implications that’ll take a while to get right.
Your SEO strategy should never focus on one single keyword. You really do need a proper keyword strategy. Sometimes it’s useful to try to make a single post or page rank for multiple (related) keywords. Perhaps you have a shop in ballet accessories and are writing a post about ballet shoes. But, you’d also like this post to rank for [dance shoes], as [dance shoes] is a more general (and common) search term. Our multiple keywords functionality is actually really well fitted to help you optimize for more than one keyword like this. It also allows you to focus on multiple angles and words, reducing the risk that you over-optimize your texts.