If you specialize in one or just a few industries, you likely strive to enhance your SEO skills for better efficiency and higher-quality results. However, meeting these expectations can become routine. This interplay between expectations and reality often leads to innovation.
One way you can improve your SEO skills and embrace the spirit of innovation is a niche keyword generator.
A niche keyword generator instantly generates categorized keyword lists by employing common query patterns unique to your field.
This article looks at how to use keyword generators to get your business and walks you through the steps to develop a keyword generator. Get your SEO skills ready and read on.
Why Develop a Keyword Generator for Your Industry?
Balancing efficiency and effectiveness can be a challenge. Prioritizing one often means sacrificing the other. Some tasks are scalable and repeatable, making efficiency a priority. Different jobs require careful consideration and a personalized approach.
The keyword generator is a quick starting point for last-minute requests or a safety net for filling gaps after extensive research. It may uncover only some hidden gems in your research projects, treating every project similarly.
However, its goal is to automate the obvious so that you can dedicate more time to valuable research.
Let's look at the steps you'll need to take.
What You Need to Get Started
You'll need a few pieces of software to start with.
1. Select Your Branded and Unbranded Root Terms
In every niche, there are issues and solutions. Unbranded terms usually encompass both categories, while branded terms fall under solutions. Compile a list of root terms for both branded and unbranded categories, considering these factors:
- High Volume: Popular root terms yield more long-tail variations, which is crucial for this keyword generator.
- Diversity: Ensure your root terms represent your entire industry, avoiding biases toward your specialties.
- Clarity: Root terms with multiple meanings can create noise in your data.
Let's explore the food industry for this exercise. Please note that these terms are for illustration purposes, and your actual times may vary.
The branded root terms are:
- McDonald's
- Subway
- KFC
- Pizza Hut
- Starbucks
- Taco Bell
The unbranded root terms are:
- Burgers
- Pizzas
- Sandwiches
- Fried chicken
- Coffee
- Tacos
2. Refine Terms for Phrase Matching
During the third step, you will download all keywords containing your terms, so adjust them as needed to obtain a comprehensive and relevant dataset. Account for variations in how people might enter these terms.
For example, consider the term "McDonald's." Only some people searching for it will include the brand name. To ensure your dataset covers all relevant variations, modify the term. Additionally, consider using square brackets to denote phrase matching.
Original Term: McDonald's
Modified Term: [McDonald's]
Download rankings from your branded sites to identify additional unbranded terms and ensure your modifications do not exclude essential queries.
3. Download All Phrase Match Keywords
Use SEMrush to download variations of your branded and unbranded phrase match terms. Search each term and export the keyword list. This process can be time-consuming but is essential for gathering valuable data.
4. Generalize the Terms Using 'Find and Replace'
Open each spreadsheet and use the "Find and Replace" feature to generalize brand references to [Brand] for branded terms and root product terms to [Product] for unbranded terms. Start with broader terms and gradually get more specific.
For instance:
Original Term: McDonald's
Generalized Term: [Brand]
5. Upload Spreadsheets into Power BI
Import your spreadsheets into Power BI to combine and manipulate your data effectively. Follow these steps:
- Open Power BI.
- Close any pop-up windows.
- In the "Home" tab, click "Get data"> "More..."
- Select "All"> "Folder"> "Connect."
- Select the folder containing your exports, then click "OK."
- Click the yellow "Combine" dropdown and choose "Combine & Load."
- Select the common sheet name under the folder and click "OK."
- Add Overlapping Keyword Counts
Go to the "Data" icon on the left in Power BI and select your branded queries. Create a new "Overlapping Keyword Count" column and apply the appropriate formula to count overlapping keywords.
6. Identify Common Query Patterns
Go to the "Report" icon above the "Data" icon on the left. Click "Refresh" in the "Home" tab. Select the "Table" icon in the "Visualizations" menu. Choose the metrics you want to display under "Values," including "Keyword," "Overlapping Keyword Count," and "Volume." Adjust the "Overlapping Keyword Count" to display a manageable list. Create a new tab for unbranded queries and repeat the process.
7. Select Your Keywords
Export the filtered keyword lists into CSV by hovering over each table and clicking the ellipsis icon in the upper-right corner. Review and remove irrelevant keywords from the list.
8. Categorize Your Keywords
Categorize your keywords by considering your industry's unique categories and search intent. Develop a standard categorization for your specific field or industry. Group keywords based on common query patterns to understand their importance to your audience.
9. Build Your Spreadsheet
A pre-built spreadsheet template is available for customization. Skip to the next section to learn how to tailor it to your industry's needs.
10. Customize Your Spreadsheet
Customize the spreadsheet template by adding new category dynamics and updating formulas in column B as needed.
Remember that creating a keyword list is just one step in the keyword research process. Further tasks include combining lists, finalizing categorization, selecting target keywords, and optimizing them.
Staying current with evolving search trends in your industry is essential to maintaining the effectiveness of your keyword generator.
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Writing Team
Writing Team : Oct 25, 2023 4:25:35 PM
Joy Youell : Jul 27, 2023 11:09:52 AM
