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How to pick blog topics: stop sorting by search volume and start publishing. Real data comes AFTER you create content 📊 #SEO #ContentMarketing #BloggingTips
One of the first things we do when we start a new SEO or AI optimization campaign is we put together a list of topics you want to create content on. And often when I present this list to clients, the first thing they say is, can you show us how much search volume there is for each of these topics so we know which ones to prioritize? And then I explain to them why I don't think we should prioritize by search volume. So I thought it'd be fun to do a video explaining why that is. Now, it's not because the topic doesn't matter. Picking the right keywords to create content for is, in my opinion, most of the strategy in any SEO or AI optimization campaign, whether you're creating new content or optimizing existing content, the purpose is always to rank for specific keywords. And if you're picking the wrong keywords, you really are wasting your time. There are three things that need to be tru
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One of the first things we do when we start a new SEO or AI optimization campaign is we put together a list of topics you want to create content on. And often when I present this list to clients, the first thing they say is, can you show us how much search volume there is for each of these topics so we know which ones to prioritize? And then I explain to them why I don't think we should prioritize by search volume. So I thought it'd be fun to do a video explaining why that is. Now, it's not because the topic doe...
start with. Writing content for a keyword you can't rank for is a complete waste of time. And the third factor is, are people actually searching for this term? Now with large language models, the question is now, are people or large language models actually searching for this term? Because keep in mind, when someone goes to chat, t or Gemini types in a prompt asking for a recommendation, that large language model is then going to do a series of searches in a search engine. The question is whether those searches...
oing to write an equation for how valuable a potential keyword is, it would be search volume multiplied by the chance we have to rank for this keyword, multiplied by the chance that someone searching for this keyword is interested in being a customer of your business. But since we can't reliably get any of those variables, a lot of SEO's do default to search volume because it's easy. You can put at least the keywords in a tool and it'll spit out a bunch of numbers and it seems really scientific. The problem is o...
One of the first things we do when we start a new SEO or AI optimization campaign is we put together a list of topics you want to create content on. And often when I present this list to clients, the first thing they say is, can you show us how much search volume there is for each of these topics so we know which ones to prioritize? And then I explain to...
Openstart with. Writing content for a keyword you can't rank for is a complete waste of time. And the third factor is, are people actually searching for this term? Now with large language models, the question is now, are people or large language models actually searching for this term? Because keep in mind, when someone goes to chat, t or Gemini types in a pr...
Openoing to write an equation for how valuable a potential keyword is, it would be search volume multiplied by the chance we have to rank for this keyword, multiplied by the chance that someone searching for this keyword is interested in being a customer of your business. But since we can't reliably get any of those variables, a lot of SEO's do default to sea...
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