Building local pages in any amount can be a painful task. It's hard to strike the right mix of on-topic content, expertise, and location, and the temptation to take shortcuts has always been tempered by the fact that good, unique content is almost impossible to scale.
In this week's edition of Whiteboard Friday, Russ Jones shares his favorite white-hat technique using natural language generation to create local pages to your heart's content.
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Video Transcription
Hey, folks, this is Russ Jones here with Moz again to talk to you about important search engine optimization issues. Today I'm going to talk about one of my favorite techniques, something that I invented several years ago for a particular client and has just become more and more and more important over the years.
Using natural language generation to create hyper-local content
I call this using natural language generation to create hyper-local content. Now I know that there's a bunch of long words in there. Some of you are familiar with them, some of you are not.
So let me just kind of give you the scenario, which is probably one you've been familiar with at some point or another. Imagine you have a new client and that client has something like 18,000 locations across the United States.
Then you're told by Google you need to make unique content. Now, of course, it doesn't have to be 18,000. Even 100 locations can be difficult, not just to create unique content but to create uniquely valuable content that has some sort of relevance to that particular location.
So what I want to do today is talk through one particular methodology that uses natural language generation in order to create these types of pages