Bucket Two: Semi-geosensitive

[fomayof928@mowline]

I actually gave an example of this here, because it can be a little hard to explain. But basically, you're getting a mix of geographic and global results. So, for example, I use &near=Portland, Oregon, because I'm in Seattle and I want to see Portland results for WordPress web design.



WordPress web design, when I search across the US, the first one or two results are always the same. They're always this web savvy marketing link and this creative block, and they're very broad. They're not specifically about a local provider of WordPress web design.

But then you get to number three and four and five, czech republic number data the results change to local specific businesses. So in Portland, it's the people at Mozac Design. Mozac, not related to Moz, that's what I know. In San Diego, it's Kristen Faulkner, who's number three, and then other local San Diego WordPress web design businesses at number four and five. So it's kind of this mix of geo and non-geo. You can usually tell your geography by looking at these different things and changing it in this way.

Some of the top search results will usually be like this, and they will be consistent from geography to geography. In those cases, what you want to do is work on increasing those local-specific signals. So if you're number five or six and you want to come in number three, go for it, or you can try and get into the global results, in which case you're trying to increase the classic ranking signals, not the local ones so you can get there.

Bucket Three: Non-geosensitive
They'll be like, "I search for this, and I don't see any local specific results." It's just a bunch of nationwide or worldwide brands. There's no maps, usually just one, maybe two geo-specific results in the top 10, and they're further down, and the SERPs barely change from geo to geo. They're pretty much the same across the country.