📚 Table of contents:
Step 1: Start with seed keywords 🎬
“Seed” keywords are the fundamental terms or phrases that you can use to define your niche, and they’re the first step in learning how to do keyword research with ChatGPT. These are typically not the keywords that you’ll focus content around, as they tend to be too broad and generic. To give an example, here’s a list of potential seed keywords for the fitness niche:
If you focus on those types of keywords when creating content, it’ll be nearly impossible to rank for them. Not only are the terms too broad, but they’re also incredibly competitive.
The goal of determining seed keywords is to help you come up with potential types of content for your site. A site that focuses on fitness can include all the previous categories of content, but it will tend to do a lot better if it only focuses on some of them.
That list of seed keywords was generated by ChatGPT. The prompt we used was “Generate a list of seed keywords for the fitness niche:”
The total list included over 40 seed keyword suggestions. You can adapt that prompt to give you ideas for other content niches and decide which ones you want to research further.
It’s important to note that ChatGPT can’t give you information about how competitive a topic is. For that, you’ll need to use other keyword research tools. Any ideas that you generate using ChatGPT will need to be validated with data, which we’ll do during the last step.
Step 2: Generate keyword ideas based on the seeds ⚙️
Once you have a list of seed keywords that you want to focus on or research further, it’s time to get more granular. You can use ChatGPT to generate large numbers of ideas focused on each seed and have each idea optimized around a specific keyword.
To do that, we used the following prompt: “Generate XX topic ideas focusing on yoga. Focus each idea on a long-tail keyword and specify what it is for each entry.” Here’s what ChatGPT came up with:
Keyword ideas are the most valuable pieces of the puzzle here. You can ask ChatGPT to generate hundreds of ideas in one go, and it will do so almost instantly.
Depending on your plan, you might have access to the web through ChatGPT. However, adding web search to the formula doesn’t mean that ChatGPT can check which keyword ideas are worth pursuing.
We recommend having the tool suggest topic titles for this step because it helps you visualize how you can use each keyword. If you want to go more in-depth, you can ask ChatGPT to generate multiple topic ideas for each suggestion:
At this stage of the process, we recommend making a list of all the keywords you’re interested in pursuing. If you want to make your life easier, you can ask ChatGPT to output that data in CSV format so you can use it to create a spreadsheet:
While ChatGPT can’t create the CSV file for you, it can give you code you can copy and paste into a text file and save as a .csv file. Once you do that, you’ll be able to open the data using your favorite spreadsheet software.
Considering how we’re using it, you can think of ChatGPT as having access to an assistant, one that knows a lot of things. However, that assistant generally doesn’t have access to the internet. You can pay to give that assistant access to the internet, but even then, it can’t view key search data, so you’ll need to verify the worth of its ideas in the final step of this process.
Step 3: Evaluate keyword ideas 💡
The last step in learning how to do keyword research with ChatGPT is validating the ideas the tool generates. As we mentioned before, you can’t take the tool’s suggestions blindly because it can’t access keyword data from search engines.
For example, one of the first keyword ideas that ChatGPT suggested was “yoga poses for beginners.” If you have experience with SEO and content creation, you can imagine how competitive that keyword is. Not only does it deal with popular topics (yoga and health), but it’s geared toward beginners, so the keyword is likely to be hard to rank for. Using a tool such as Semrush or Ahrefs confirms this (via Semrush):
Keep reading the article at CodeinWP. The article was originally written by John Hughes on 2023-08-30 07:00:00.
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