Written by Daniel Errante
How to Discover Long Tail Keywords for Your Blog Articles
Blog articles are a fantastic way to drive organic traffic to your website. However, creating blog articles that are high in traffic but low in competition is an art that requires careful research and planning. One of the essential elements in this art is the use of ‘Long Tail Keywords’. Let us uncover the methods to unearth these gems for your future articles.
What are Long Tail Keywords?
Before we dive into the ‘how’, it’s important to understand the ‘what’. Long tail keywords are highly specific keyword phrases that visitors are more likely to use when they’re closer to the point of purchase or using voice search. They’re a little bit counter-intuitive, in that they’re less common and have fewer searches. However, they usually have a significantly higher conversion value, as they’re more specific.
For example, a standard keyword might be ‘coffee beans’, while a long tail keyword would be ‘Arabica coffee beans for cold brew’. The latter is less searched for but has a higher purchase intent.
How to Find Long Tail Keywords?
One of the quickest ways to come up with long tail keywords is to let Google do the work for you. Begin typing a keyword into the Google search bar, and the search engine will start suggesting terms to you. These suggestions are based on actual search terms people have used, giving you an insight into popular ‘long tail’ searches.
Another easy method is to use Google’s ‘related searches’ feature. When you type in a keyword into Google, you will notice that there’s a section at the bottom of the first SERP (Search Engine Result Page) summarizing related searches. These are also based on what other people are searching for, enabling you to get a glimpse into their thoughts.
Google Keyword Planner
The Google Keyword Planner tool is yet another great resource for finding long tail keywords. Although the primary purpose of the tool is for PPC advertising, you can definitely use it for SEO purposes. Type in your keyword and explore the combinations and variations Google suggests.
Remember to look beyond just volume - the competition level and potential bid price can also be important indicators of the strength of a keyword.
Using Keyword Research Tools
In addition to Google’s own tools, there are numerous third-party keyword research tools available. Some popular ones include SEMrush, Ahrefs, and Moz. These provide many more insights like additional keyword suggestions, keyword difficulty scores, current top-ranking pages, and more.
These tools are notably efficient at suggesting long tail keywords that are currently not being heavily targeted, giving you a competitive edge.
Another intelligent strategy is to examine webpages that currently rank high for your primary keyword. Look through their articles and contents to find long tail keywords they’re targeting. However, it’s crucial not to directly copy those exact keywords. Instead, you can use them as inspiration for your own unique phrases.
Using Google Trends
Google Trends can help identify long tail keywords that are currently trending or becoming popular. This tool becomes especially useful when you are dealing with trending topics or seasonal trends.
Using Long Tail Keywords in Your Blog Articles
After you’ve identified your long tail keywords, the next step is to use them organically within your blog content. Remember, Google values user experience above all else. The keywords should flow naturally and add value to the content. Keyword stuffing is a bad idea as it makes content unreadable and attracts penalties from Google.
Long tail keywords are a powerful tool in the arsenal of any content marketer or blogger. Although they don’t have high search volumes, their specificity and lower competition make them invaluable for driving targeted traffic. Start using these techniques to find unique long tail keywords for your blog articles and improve your organic search rankings!
Lead Software Engineer, Typli.ai
Daniel is a software engineer, entrepreneur and AI enthusiast who has a passion for writing great software and coaching software development teams on how to build reliable, scalable and secure software. Over the past few years he has developed an interest in building artificial intelligence applications and is the head software engineer at Typli.ai.
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