Ubersuggest: The Updated Keyword Research Tool from Neil Patel

Neil Patel Ubersuggest

Source: Neil Patel, Ubersuggest

It isn’t often that a new keyword research tool hits the market.

Most people who do SEO and content marketing use a pretty narrow selection of keyword research tools.

On the paid side of keyword research, you’ve got giants like Moz, SEMrush, and Ahrefs. On the free side, keywordtool.io (which also has a paid version), Answer the Public, and good-old Google have been popular.

A tool like Ubersuggest would enter the conversation—but from what I’ve seen, its use was declining in the SEO and content marketing community.

But things are changing.

Marketer and SEO expert Neil Patel recently acquired Ubersuggest and relaunched it as part of his site. The updated Ubersuggest pulls in keyword data from Google Keyword Planner and Google Suggest—and the result is a vastly improved keyword research tool.

I’m super excited to start using the updated Ubersuggest, so let’s take a look at some of the features that make this new tool—which is free, by the way—potentially awesome.

Data from Google Keyword Planner

The first thing that stood out to me about the new Ubersuggest is the volume data.

Google’s Keyword Planner has been consistently restricting the amount of data it shows about individual keywords, at one point switching to showing a range of volume rather than a single number. That makes me a little surprised to see the data so accessible here—but the surprise is certainly a welcome one.

If someone is relying mostly on free keyword research tools, it can be hard to get a good estimate of keyword volume. Ubersuggest at least partially solves that problem.

There’s some debate about how accurate Google search volume numbers are, but it’s definitely useful to have some search volume data as guidance.

The volume data in Ubersuggest may be pulled from Google Keyword Planner, but the much simpler and user-friendly interface means that I would still prefer to use Ubersuggest.

Ubersuggest also pulls in cost per click (CPC) and difficulty numbers from AdWords. Although those aren’t the most relevant for SEOs, it’s nice information to have.

Suggestions from Google Suggest

One of the biggest challenges for modern SEOs and content marketers is finding good long-tail keywords and semantically-related terms.

As Google has gotten smarter and smarter, writing SEO friendly content has become less about stuffing in tons of mentions for a specific keyword and more about creating outstanding content that answers all of your audience’s questions.

Answering questions is one of the best ways to signal relevance to Google while also providing massive value. In my favorite example, an ok article about what to do on your first day at the gym would give you a workout. An outstanding one would answer every possible question, like:

  • What to wear on the first day at the gym
  • What are sets and reps
  • How much weight should I use
  • How can I be less sore after the gym
  • How do I ask for a spot

And so on.

You can write comprehensive articles like this on just about any topic. Writing the content itself isn’t usually that hard, because all you have to do is answer the questions. The hardest part is finding these related questions in the first place.

If you type a head term like “gym workout” into most keyword research tools, you’ll get a long list of “related” keywords that really just build on that base.

The old Ubersuggest in particular would just mash “gym workout” together with a bunch of other words. You might get something like:

  • Gym workout chart
  • Gym workout plan
  • Gym workout music
  • Gym workout tips

That’s kind of helpful—I can guess that people want plans, charts, tips, and music—but it stops being helpful very quickly.

How do SEOs get around this problem? The first way is by using a paid tool and iterating. When you type “gym workout” into Moz and get “gym workout music,” you can then type in “gym music” and see where things go from there.

You could also go manually through Google’s suggestions. If I wanted to write a post on lead magnets, I would go to Google, type in lead magnet, and wait.

Google suggest
I would also actually Google “lead magnet,” scroll down, and look at the footer. By definition, Google thinks that these terms are related to lead magnets.

Google footer suggestions

Those are good strategies, but they have drawbacks.

  1. Moz isn’t free. It’s well worth it, in my opinion, but some businesses or solopreneurs may be priced out of using it.
  2. Going through Google’s suggestions can take a long time

Ubersuggest doesn’t totally solve the problem of finding long-tail keywords and questions. It also doesn’t give you the organic keyword difficulty score for each keyword (I’m not aware of a free tool that does).

But it does look like it’s going to make the process of finding long-tail keywords easier and faster.

Ubersuggest pulls in data from Google’s Keyword Planner and Google Suggest to give you tons of keyword suggestions.

It still does some mashing together of phrases, but the great user interface and ability to filter keywords makes it much easier to find things that are usable. I’ve spent some dozen hours optimizing my article on the first day at the gym, but I still got a new suggestion in the phrase “how to start going to the gym alone.”

In my early uses, Ubersuggest is vastly improved compared to its previous form. I’m not going to stop using paid tools, but I will probably switch to using Ubersuggest over a tool like keywordtool.io, which tries to solve similar problems.

Outstanding user interface

I’ve mentioned it a few times, but it’s worth reiterating that Ubersuggest is the cleanest looking and easiest to use SEO tool that I’ve come across. Check out me doing some quick research on viral blog posts.

Screen Recording 2018-02-27 at 12.13 PM.mov

I hit the keyword. I instantly get the search volume in Google (I could have also searched Google Images, New, YouTube, or Shopping, in any other country). I scroll through suggestions.

I decide I only want to see phrases that include the word “viral,” so I filter based on that keyword. Then I only want to see phrases without the word viral, so I add it as a negative keyword.

All of that took 34 seconds. I got a few new ideas for phrases related to writing viral blog posts.

And no one has taught me how to use this tool. I haven’t seen any kind of tutorial or video. I just started clicking, and it was easy to use.

Conclusion: The updated Ubersuggest

The short version of this article: I’m a huge fan of the updated version of Ubersuggest.

The new Ubersuggest takes data that’s available but hard to find and consolidates it into a single, free, user-friendly location.

I think people using free tools will get a ton of mileage out of Ubersuggest, but I’ll also definitely be using it to supplement paid keyword research tools.

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