Deep Keyword Research for SEO

by oneano
6 replies
  • SEO
  • |
Im diving into some SEO projects, and Im hoping to find some golden long tail keywords in my niche. Most of them are location based like Colorado Springs Orthodontist or Ocala Florida Orthodontist. What are some good tools to start working with to find keywords?

I dont think that I have ever really done something like this so please advise me like a newbie.
#deep #keyword #research #seo
  • Profile picture of the author panic
    Google Keyword Tool.

    It is the only tool you need to do this research. Make sure you select exact match and use only the local search numbers.

    It is free and the most accurate tool out there.
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  • Profile picture of the author oneano
    So how do I approach that to find the keywords?

    Stick in my main term "Orthodontist" and export the keywords and run them each individually?
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    • Profile picture of the author Backlinko
      Originally Posted by oneano View Post

      So how do I approach that to find the keywords?

      Stick in my main term "Orthodontist" and export the keywords and run them each individually?
      The Adwords Keyword Tool is great, but you need to use your head too.

      The Adwords tool just spews out related stuff. Sometimes you find gems, sometimes you don't.

      You're better off thinking about what people will actually use to search for whatever it is your site is about...and then checking the traffic stats using the tool.

      SEMRush is another amazing tool for finding keywords that you'd never think of.
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      Find Awesome Keywords...Without ANY Tools
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      • Profile picture of the author Cassiopeia
        The website Ubersuggest is also a great way for finding long-tail keywords - it scrapes the Google Suggest keywords.
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  • Profile picture of the author InBrussels
    There are more ways to do this,but I guess you're looking for a free solution.
    In this case,you can use a free combination of tools like GKT to find long tail and related keywords and also arrange them by traffic.
    You can also get a free scraper for google suggest,but if you're just starting out,i suggest you do everything manually and don't get yourself into too many variables.

    After you done that you can get a free edition of Traffic Travis and analyze the Seo Competition.This tool should give you an idea on how hard would be to rank for thous terms.

    After you got your winning keywords,i advise you take each site that's on page 1 for your keyword,and analyze the link profile using aHref (free edition again) .

    This way,you should get a pretty good idea on how competitive a search term is.
    Also,as someone above suggested,your brain is the best tool available,so try and think what your possible leads would search for online.
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  • Profile picture of the author Chris Reeves
    Hey oneano,

    Like a few others have mentioned, the Google Adwords Keyword Tool is really the only tool you'll need.

    It sounds like you already have a very specific niche in mind. For location specific keywords like that there are only going to be a few variations that are getting decent traffic. So, I would put less weight on how much competition there is and just worry about whether or not there is enough search volume to suit your goals. Local competition has always seemed to be relatively low in my findings anyway.

    You'll want to pay attention solely to the "Local Search Volume" and "Exact" match type within the Google Keyword Tool to see how many people are truly searching that exact term in that specific location.

    Also keep in mind some States have similar city names, so a term like "Riverside Dentist", while you may mean Riverside, CA, would most likely show inflated search numbers in the GKT because there is also a city named Riverside in NY. The person searching will see personalized results to their area, but as far as "Local Search Volume" in the Google Keyword Tool, Local would mean to your specific country (the whole United States). Just something to keep in mind, hope that's not too confusing.

    Thanks,
    Chris
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