In this case, I'm looking at the SERP
Posted: Wed Feb 12, 2025 4:18 am
3. Review the SERPs to see if local specific pages are ranking.
Now that we've categorized our keywords, we want to know what kind of results will be good for what kind of keywords, because obviously if local pages are the answer, we'll want to create some.
A for "SEO Jobs." This is fictional. The rankings don't tunisia number data look like that. But we actually have SEO jobs in Seattle. This is an example of a local page, because this is a national business that has a location-specific page. Then we have SEO Jobs Glassdoor. This is a national page, because in this case they're not putting anything on the page that makes it location-specific.
Then we've got SEO Jobs Seattle Times. This is a local business. The Seattle Times only operates in Seattle. It probably has a brick and mortar location. If you're going to pull a lot of that kind of data, maybe from statistics or something like that, obviously keeping track of the locations that you're mentioning, where you're mentioning the locations, you might want to rank them on a scale rather than going through them one at a time.
I've created a little flowchart here that you can wrap up in an Excel formula or something like that. If the location is mentioned in the URL and the domain, then we know we've got a local business. Most
Now that we've categorized our keywords, we want to know what kind of results will be good for what kind of keywords, because obviously if local pages are the answer, we'll want to create some.
A for "SEO Jobs." This is fictional. The rankings don't tunisia number data look like that. But we actually have SEO jobs in Seattle. This is an example of a local page, because this is a national business that has a location-specific page. Then we have SEO Jobs Glassdoor. This is a national page, because in this case they're not putting anything on the page that makes it location-specific.
Then we've got SEO Jobs Seattle Times. This is a local business. The Seattle Times only operates in Seattle. It probably has a brick and mortar location. If you're going to pull a lot of that kind of data, maybe from statistics or something like that, obviously keeping track of the locations that you're mentioning, where you're mentioning the locations, you might want to rank them on a scale rather than going through them one at a time.
I've created a little flowchart here that you can wrap up in an Excel formula or something like that. If the location is mentioned in the URL and the domain, then we know we've got a local business. Most