I wanna quickly share my new favourite tactic for picking blog topics that'll help you get recommended by large language models. Picking the right topic for your blog posts is by far the most important part of content marketing. Pick a topic that people aren't searching for, or that doesn't have purchase intent, or that you have no business ranking for, And you're wasting your time.
So here's my new favourite tactic. First of all, you need to be tracking citations from large language models. We use peak A.
I, but there's a lot of similar tools. These tools will allow you to track 50 or so prompts that people type into large language models when they're looking for your products or services. And then they'll show you the webpages that these models are citing before recommending you or your competitor.
Download a list of the top 1,000 URLs being cited by large language models. Filter those URLs to only show you which ones are articles. Take all the titles of those articles and give it to a large language model.
Ask it to deduplicate the list and remove or edit any that aren't relevant to your business and you should end up with at least 50 topics perfectly optimized for being cited in large language models when people are looking for your products or services.