Well there are a few things I look for (I will produce a bonus video about this topic and add it to the other bonus video tutorial) but basically I like to see sites like forums/niche sites/Q&A sites in the top 10 along with other things like sites that are not targeting exact keyword in title/meta, sites with low page authority and domain authority, sites that are less than 3 years old etc etc
A very popular and highly competitive keyword on Google search engine is "making money." It has 85,300,000 search results, meaning that millions of websites are relevant or competing for that keyword. Keyword research starts with finding all possible word combinations that are relevant to the "making money" keyword. For example, a keyword "acquiring money" has significantly fewer search results, only 61 000 000, but it has the same meaning as "making money." Another way is to be more specific about a keyword by adding additional filters. Keyword "making money online from home in Canada" is less competitive on a global scale and therefore easier to rank for. Furthermore, keywords also have various intents which can affect whether the marketer would want to target that keyword. Multiple tools are available (both free and commercial) to find keywords and analyze them.
I use Ahrefs to find ideas for keywords to add into content, and content to create around keyword opportunities. I like how Ahrefs shows keyword difficulty, search volume, traffic potential (how much organic search traffic it’s possible to get when you rank #1 for a parent topic keyword) and lets you group keywords together to create lists. It’s really useful.
Use the Google Adwords Keyword Planner to find new and related keywords, but ignore the search volume data! The search volume data in the planner is really only useful for keywords that you’re actually spending money to advertise on. Otherwise, these volumes are not reliable. While not really helpful to decide which keyword is most used by your potential audience, Google Adwords Keyword Planner makes a useful tool in coming up with ideas for potential keywords!
There, now. We’ve given you an overview of twenty-five cool keyword tools. Of course each of these has its own strengths and caveats, and at least for now, none can match the effectiveness of Google’s Keyword Tool, particularly in language, location, or device-specific results. Google gathers and analyzes vast amounts of data and as you know, the rich only get richer.
Bing Webmaster Toolbox: Oh yeah, remember that other search engine? Yes that’s right Bing has a whole collection of tools of their own, including keyword tools. The data will be taken from Bing itself, which means that you should be able to make relative assumptions about keyword popularity. because lets face it, Bing users aren’t that different than Google’s.
How do you figure out what keywords your competitors are ranking for, you ask? Aside from manually searching for keywords in an incognito browser and seeing what positions your competitors are in, SEMrush allows you to run a number of free reports that show you the top keywords for the domain you enter. This is a quick way to get a sense of the types of terms your competitors are ranking for.
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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.
You cannot have a guarantee that you will enhance your ranking and get to the top ten results by making use of the most popular keywords. The situation may worsen when you keep on increasing the amount of content on your website. The only way you can be sure of recording success in your campaigns is by making use of keywords that are not only creative but also relevant. This is the main reason why we have the AdWords and SEO keyword permutation generator tool. The interface of this tool is very easy to use and has three boxes for text entry and you will be required to fill in as many keywords and you like and the generator will work out several permutations that produce very creative and useful keywords that you can include in your content. However, you will be expected to keenly watch the keyword generator because some of them may not make sense.
Pricing plans and pricing structures for Long Tail Pro have changed several times over the years since I first purchased it. I’m not going to make the mistake of publishing any pricing information here. I’ve done that in the past on this blog and I still have several old posts that are live with incorrect pricing information. There is a good chance that people will still be reading this very post several years from now – and surely the pricing that is available today will be different in the future. Just like it was way different in the past. Please click on any of my links within this post or anywhere else on my site to see the latest prices for Long Tail Pro.
I will use the tool to pull in a lot of keywords related to a theme and group them into relevant topics. These topics will either become their own content page or will be combined with other topics to create a page. KeywordTool.io is similar to other tools out there such as Uber Suggest, which I've used for a long time, but it tends to produce more keywords and it provides search volume for the keywords.
Keyword Overview looks at the entered term on its own and addresses expected searches per month, the difficulty of competing against Page 1 results for the same term, a rough estimate of organic click-through opportunities (versus paid ads and non-organic positions on the search engine results page), and the perceived priority that the user should assign to optimization for this term, where the higher the score, the higher the demand and a lowered level of competition.
Long tail keywords can find people who are later in the buying cycle, and more ready to buy. For example, somebody searching for “tents” is probably early in the buying cycle, just starting to research what they want. Whereas somebody who searches for “North Face Kaiju 4 person tent” already knows what they want, and is more likely to be ready to buy.
Keyword research is a practice search engine optimization (SEO) professionals use to find and research alternative search terms that people enter into search engines while looking for a similar subject. Search engine optimization professionals research additional keywords, which they use to achieve better rankings in search engines. Once they find a niche keyword, they expand on it to find similar keywords. Keyword suggestion tools usually aid the process, like the Google Ads Keyword Planner, which offers a thesaurus and alternative keyword suggestions or by looking into Google Suggest.
3. Set your pre-search filters. Depending on whether you are looking for a new niche to build a site around or trying to find keywords to target on your already existing website, the minimum amount of local monthly searches (LMS) you set might vary. For new niches my LMS criteria is 1,500-5,000 searches, for posts anything from 10-800 is fine. Also, depending on one of these goals you can add a lower or higher number of words in the respective filter: for new niches 3 (or, at times, 2) words minimum, for new posts from 3 or 4 words up.
I ditto what you are saying. All of the keyword volume data the system is stating is completely way off, false and misleading. They are pulling these numbers now from 3rd party sources, which we all know are directional, but in many cases in left field! I just signed up and will probably be cancelling because I can’t trust or rely on their data. What a shame, because before it was such a great tool.