This guide will show you how to quickly and easily turn a list of keywords into neatly clustered topics based on scraping search engine results. I’ll show you how to
I built a SERP similarity analyzer and checker that shows you how similar or different the search results are for two separate queries. It uses Moonlit’s new features, LLaMa-2, and
Keyword research tools have historically helped with both ideation (finding keywords) and validation (reasoning to target them). The problem today is that because keyword research tools are now mainstream, so
Here’s a quick and easy way to plan 288+ clustered content topics relevant to your audience with AI. I’ll also show you how to find low-competition topics you can rank
Modern keyword research methods usually include some kind of clustering or grouping. Which is essentially categorizing keywords into semantically related groups. The problem with clustering is that it’s often difficult
In SEO, seed keywords are the starting point of keyword research. And keyword research is the start of pretty much everything else. Creating a seed list is often the very
What’s the #1 ranking factor? It’s not links. It’s not “quality content”. So what is it? It’s relevance to the query. It’s by far the #1 ranking factor. It always
Are you using keyword research tools to come up with ideas for blog posts? This is one of the worst ways to find content topics these days. All those topics