Let's say you're considering starting a new website, or venturing into a new product niche. And, suppose you'd like to somehow determine how much search buzz is currently hovering around this topic. You can use Keyword Researcher to get a "feel" for how much interest is actually out there. For example, let's say you were selling cameras. Then you might consider the following:
Google Suggest isn’t exactly a tool, but I’ve found that it can be useful for identifying potential keywords. As you type a query on Google.com, Google Suggest recommends search queries based on other users’ search activities. These searches are algorithmically determined based on a number of purely objective factors (including popularity of search terms) without human intervention. The Suggest dataset is updated frequently to offer search queries that seem to be trending upwards. This feature is largely one of the reasons that you may see repeat traffic of seemingly long tail keywords. By identifying these long tail keywords and optimizing for them, marketers can capitalize on seemingly obscure keywords with little competition.

I just have the free version right now so I don't know all that the pro one can do. But even the free version has A LOT of tools you can use, I haven't even figured them all out yet. But one that I have used is their Content Optimizer. You can take a new or existing content piece of yours, and compare it to one of your competitor's pieces on a similar topic, and see where you might be lacking based on the keywords that are used in each piece.

In order to know which keywords to target, it's essential to not only understand the demand for a given term or phrase, but also the work required to achieve high rankings. If big brands take the top 10 results and you're just starting out on the web, the uphill battle for rankings can take years of effort. This is why it's essential to understand keyword difficulty.


Let me show you an example. I just surfed over to a very popular blog called The Busy Budgeter (www.busybudgeter.com) to find an example topic. Rosemarie is the blogger over there and I’ve been following her journey recently. She’s absolutely killing it online! But, I happen to know that she gets most of her traffic from Pinterest and that working on SEO is one objective that she wishes to tackle. So, let’s see if we can help her out… A quick scan of her homepage tells me what type of content she produces and who her audience is. It appears her audience is largely female, lots of stay-at-home moms and a good portion of her content revolves around teaching others how to make money online.


Google prefers to not share long tail searches in this tool – because the tool is designed for Google Adwords advertisers. If advertisers bid on those long tails – they would have less competition and therefore pay less for the Adword, and therefore Google would make less money e.g. bidding on the term weight loss for girls under 18 is cheaper than weight loss. 
In order to know which keywords to target, it's essential to not only understand the demand for a given term or phrase, but also the work required to achieve high rankings. If big brands take the top 10 results and you're just starting out on the web, the uphill battle for rankings can take years of effort. This is why it's essential to understand keyword difficulty.
3) Google: This is pretty straight forward but it’s the main reason I like it. I search for my main seed keyword in Google, and use the keywords that Google itself highlights in bold on the search results, plus the “Searches related to” section at the bottom to get keyword variations or LSI. That’s basically what Google is telling you that topic is about. No need for a thousands other tools. I use these to optimize the on page of my target pages as well.
You can filter your results by 24 business verticals, including Apparel, Arts & Entertainment, Autos & Vehicles, Beauty & Fitness, Books & Literature, Business & Industrial, Computers & Electronics, Finance & Banking, Food & Drink, Toys & Games, Health, Hobbies & Leisure, Home & Garden, Internet & Telecom, Jobs & Education, Law & Government, News Media & Publications, Family & Community, Occasions & Gifts, Pets & Animals, Real Estate, Retail & General Merchandise, Sports & Fitness, and Travel & Tourism.
How do I know this? Because I’ve done it! In late 2013 I was still struggling to earn a respectable income online. I started up a keyword research service and marketed it to just this blog audience. It turned out to be quite popular. Basically – I would find niches using Long Tail Pro then create Keyword Research Packages. Each package contained usually several hundred keywords with KC scores calculated. I was selling these packages for anywhere between $97 to $147. I even sold one single package for $597! That one had very high search volumes and very low competition.
Mentioned in the above video is the Keyword Competitiveness (KC) feature within Long Tail Pro. With earlier versions of Long Tail Pro, you could only access this feature if you paid extra to upgrade to the Platinum version of Long Tail Pro. Pricing structures and the way the software is delivered has evolved over the years – and currently (as of the date I am writing this) all features of the software are included no matter which payment plan you choose. So right now – everybody who buys Long Tail Pro has access to this extremely powerful feature.

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Don’t get me wrong. There are lots of other tools that I love and use (and promote) that also make a big difference in everything I do online now. But Long Tail Pro is probably THE most important. Getting search engine traffic to websites 101 doesn’t get more basic than doing good and proper keyword research. And nothing makes keyword research faster and easier than Long Tail Pro. Allow me to explain…
For the first few months, there was certainly a transition period.  However, the new team was able to take over the reigns fairly quickly.  A big reason for the quick transition is because I had automated most of the business already.  So, the fact that I was stepping away didn't make a huge difference since all the sales, marketing emails, and many other details were already happening on an automated basis.
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