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Ubersuggest 5.0: Generate 1 Million Keyword Suggestions in 7 Seconds (Seriously)

Neil Patel
Co Founder of NP Digital & Owner of Ubersuggest
3 min read
keywordoverview

Ubersuggest started out as a tool that provided suggestions through Google Suggest.

And although that’s great, everyone these days is using Google Suggest to come up with keyword ideas.

There have to be more keyword ideas out there that get more search volume and aren’t competitive, right?

Well, there are, and now with the new Ubersuggest, you’ll get access to them.

Here are the 2 big changes I am making with this release…

Introducing a new keyword database

Because we have results in our database for more than a billion different keywords, I thought it would be fun to tap into it and provide you with even more keyword suggestions.

Now when you perform a search on Ubersuggest for any keyword, you’ll see a “related” tab with even more suggestions.

And each tab shows you how many keywords are in that group.

relatedkeywords

As you can see for the term “digital marketing”, just in the United States there are over 30,000 keyword recommendations.

And for terms like “dog”, there are over 1 million keyword recommendations.

dog

Don’t worry though, results from Google Suggest are still there under the “suggestions” tab but you can now see even more search terms if you click on “related”.

What’s cool is that you can even export all of the keywords via CSV.

And if you want to leverage the filters to fine-tune the results, you can easily do so.

filters

For example, I used the filters setting to find keywords with a minimum search volume of 400 searches a month and a maximum SEO difficulty of 50. Ubersuggest then fine-tuned the results to 489 keywords related to “digital marketing” that I should consider target instead of me having to manually go through 30,000 plus recommendations.

filterskeyword

And with the CSV report, it adjusts as the settings with the filters change. So you can export the keywords that you want and ignore the keywords you aren’t planning to target.

Another big change that we made to Ubersuggest is that we introduced local keyword research.

You can now pull up keyword stats and ideas on any city, county, region, or country.

For example, if I want to know the search volume and keyword recommendations for West Hollywood, California, I can now do so.

hollywood

From there, Ubersuggest shows keyword search volume, keyword recommendations, and even content ideas for a blog post.

localresults

On top of that, when you head over to the “keyword ideas” report, you’ll also notice that the SERPs results, which shows all of the sites that rank for that term, are now adjusted to also show the ranking sites within that region.

localrankings

So, what’s next for Ubersuggest?

Well, speaking of keyword research, you’ll start seeing keyword recommendations based on questions, comparisons, and prepositions like Answers the Public within a month.

answersthepublic

And, of course, as I promised earlier, next Tuesday I am releasing the rank tracking and dashboard features on Ubersuggest.

rankcheck

If you haven’t already, head on over to Ubersuggest to give the new keyword database a try.

And if you are trying to use the local SEO features, you may find that they only work once you are in the app.

I haven’t been able to make the changes to the main Ubersuggest landing page yet, but once you type in a keyword and test it out, you can then switch your location to any city.

So, what do you think of the changes?

PS: Make sure you test Ubersuggest out.

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Neil Patel

About the author:

Co Founder of NP Digital & Owner of Ubersuggest

He is the co-founder of NP Digital. The Wall Street Journal calls him a top influencer on the web, Forbes says he is one of the top 10 marketers, and Entrepreneur Magazine says he created one of the 100 most brilliant companies. Neil is a New York Times bestselling author and was recognized as a top 100 entrepreneur under the age of 30 by President Obama and a top 100 entrepreneur under the age of 35 by the United Nations.

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Neil Patel

source: https://staging.neilpatel.com/blog/ubersuggest-billion-keywords/