And free keyword tools don’t make their owners very much money. The reason for this is that these hybrid tools are moving more towards becoming full-service SEO and content marketing platforms.
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Something else to consider is that the days of dedicated keyword research tools are over and done. Any of the paid tools we list here are part of daemon tools free an overall suite of SEO tools. In an ideal world, free keyword tools would be just as powerful as ones that cost anywhere from $29 to $99 per month.
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It’s not even remotely refined – you just type in a search term and it starts…well…pooping out related keywords. This is a keyword tool that does something very simple, but incredibly valuable – it generates a list of keywords based on Google’s AutoComplete feature. In addition to displaying “related keywords”, it also lists dozens of other keywords that “People have also searched for”. So, Ubersuggest is more than just your average keyword research tool – it’s a suite of tools. And even which pages on their domain get the most traffic, data you’ll rarely find outside paid premium tools.
Now that you understand our logic, let’s look at how well our selection of paid keyword tools performed based on the above measurements. It’s easy to become overawed by how many keywords a specific tool can suggest. Because some tools use third party data sources , while others use Google’s data . Now, the caveat here is that search volumes should never be treated as absolutes – regardless of what keyword tool you use. But unless it can churn out several hundred keywords for you to analyze and choose from, then you’re probably wasting your time. You should always, always, manually check the SERPs before building content around a keyword. In fact, some of the dedicated, old school keyword tools have been left behind as a result of this change in user needs and expectations.
- You may want to begin formulating your ideas around some of these suggestions.
- Annoying answer but sometimes it takes time and a bit of playing around to see what works best ranking wise.
- Google recommends is a great starting point for planning your articles.
- For us, Keysearch is the best keyword difficulty tool because it is affordable, assessing keyword difficulty, tracks ranking, offers backlink checks and now compares your keywords to the competition.
If you’re a blogger or SEO with zero, or very little money, you can actually achieve quite a lot with tools like Keywords Everywhere combined with the free searches offered by tools like KWFinder. Sure, the day might come when a completely free keyword research tool knocks paid tools off their lofty perches…but it is not this day. Because it’s saved me chasing keywords the wrong way up Search Intent Avenue several times. Affiliate marketers who need or want a no-frills keyword research tool with multiple foreign language databases.
This is the OG of keyword research – the grandpappy of all keyword tools. Another benefit is they provide a framework to create content around – you will have keywords that are statistically proven. And almost all paid keyword tools offer some kind of URL or competitor analysis function, in addition to being “traditional” tools. Because the free tools all tend to be traditional in that you type in a seed keyword and they generate a relatively useful list of results. Most other blog posts on this topic try to divide keyword tools into categories of either “traditional” or “competition”, but I don’t see the point in doing that.
SEMrush allows you to filter keywords using all the usual toggles like word count, search volume, and keyword difficulty. SEMrush uses domain authority to evaluate how difficult it is to rank for a given keyword. SEMrush returned 17,779 keywords for our test phrase of “dog harness”, which is more than enough data for anyone to work with. This puts it squarely in the mid-range of scores as presented by all the other keyword research tools. But you get used to it very quickly, to the point where you feel kinda weird using other tools that don’t offer the same unified view of your data.