How to Use ChatGPT for Keyword Research?

Exploring innovative applications of ChatGPT in your digital toolkit? Join me on this journey as we unravel the various ways to utilize ChatGPT for efficient keyword research.

How to Use ChatGPT for Keyword Research

Developed by OpenAI, ChatGPT epitomizes the pinnacle of AI technology, drawing tech enthusiasts worldwide to experiment with its AI system through research previews.

ChatGPT for Keyword Research

ChatGPT, trained using Reinforcement Learning from Human Feedback (RLHF) on vast datasets, boasts the ability to address almost any query instantly.

Its cognitive capabilities make it a valuable tool from an SEO perspective, particularly in keyword research. Let’s delve into how ChatGPT can fill the gaps in your keyword research strategy.

  • Finding Long-Tail Keywords: ChatGPT proves to be an invaluable asset in uncovering long-tail keywords. By prompting it with queries like “List Without Description The Top {X} Most Popular Long-tail Keywords For The Topic “{X}”, you can extract rich insights for diversifying your keyword portfolio.
  • Exploring LSI Keywords: Discovering Latent Semantic Indexing (LSI) keywords becomes seamless with ChatGPT. Utilize prompts like “List Without Description The Top Semantically Related Keywords And Entities For The Topic {X}” to enhance the depth and relevance of your keyword selection.
  • Keyword Grouping & Clustering: Efficient organization of keywords is crucial, and ChatGPT can assist in grouping keywords based on semantic relationships. Employ prompts like “Organize the following keywords into groups based on their semantic relationships” to streamline your keyword clusters for better content targeting.
  • Search Intent Analysis: Understanding user intent is pivotal in SEO, and ChatGPT excels in deciphering search intent patterns. Use prompts like “For the topic of “{Topic}” list 10 keywords each for the different types of searcher intent” to align your content with user expectations effectively.
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Power of ChatGPT in SEO

Trained using Reinforcement Learning from Human Feedback (RLHF), ChatGPT boasts an incredible ability to instantly respond to a myriad of queries. Its cognitive prowess makes it a valuable ally from an SEO perspective, capable of enhancing your keyword research strategy.

Chat GPT Keyword Research Prompts

1. Finding Sub-Topics Related to a Main Topic:

Finding Sub-Topics Related to a Main Topic

The onion method proves its worth here. Start with a broad topic, like “SEO,” and use prompts such as:

  • “What are the four most popular sub-topics related to SEO?”
  • “List without description the top five most popular keywords for ‘SEO.'”

Combine these prompts to create a series for a deeper dive into your chosen topic.

2. Generating Keyword Ideas Based on a Question:

Harness the power of questions to obtain keyword ideas. For example:

  • “Perform the following steps: Generate 10 questions about ‘SEO.'”
  • “Based on the above steps, suggest a final list of questions avoiding duplicates or semantically similar questions.”

This method opens up a plethora of keyword possibilities based on user queries.

3. Alphabet Soup Method for Keyword Ideas:

Leverage Google autocomplete or ChatGPT with prompts like:

This method is a goldmine for uncovering a wide range of keywords.

4. Understanding User Personas for Keyword Research:

Tailor your keywords to specific user personas with prompts like:

  • “For the topic of ‘SEO,’ list 10 keywords each for different types of user personas.”
  • “For each question listed above, list keywords and long-tail keywords to target, and put them in a table.”

This approach ensures your keyword strategy aligns with your target audience.

5. Clustering Keywords Using ChatGPT:

Streamline your keyword groups with prompts like:

  • “Organize the following keywords into groups based on their semantic relationships.”
  • “Give a short name to each group and create a two-column table.”

This method is particularly useful for People Also Ask (PAA) questions.

6. Expanding Keywords by Patterns:

Spot patterns in your keyword research with prompts like:

  • “Generate [X] keywords for the topic ‘SEO’ that contain ‘who, what, where, why, how, are, can, do, does, will.'”

Identify question patterns, comparison patterns, brand patterns, and search intent patterns for a comprehensive keyword list.

ChatGPT as Your SEO Assistant

While ChatGPT might not replace traditional tools, it stands as a powerful assistant in idea generation. From keyword categorization to clustering and expansion, ChatGPT proves its worth in various facets of keyword research.

Enhancing Keyword Research with Chat GPT API

Explore trending topics effortlessly by integrating ChatGPT with social media listening tools. Kristin Tynski’s Python script automates scraping Reddit for top posts, using the Open AI API for trend analysis.

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This advanced use case opens doors to real-time insights and uncharted keyword territories.


In conclusion, ChatGPT is a formidable ally in the realm of keyword research. Its ability to generate ideas, categorize keywords, and delve into trending topics makes it a versatile tool for SEO enthusiasts.

While not a complete replacement for traditional keyword research tools, ChatGPT serves as a valuable addition to your arsenal.

Chat GPT for Keyword Research – FAQs

No, ChatGPT complements traditional tools by providing creative prompts and generating ideas. However, it lacks SEO metrics, so combining it with traditional tools is recommended for accurate data.

Yes, ChatGPT proves effective in categorizing and clustering keywords based on semantic relationships. It streamlines the organization of keywords for targeted content creation.

ChatGPT can list keywords tailored to different user personas, aiding in creating content that resonates with specific audience segments.

The Onion Method involves combining multiple prompts into one comprehensive query, allowing ChatGPT to perform a series of steps in a consecutive order for a holistic response.

While ChatGPT excels in idea generation, it lacks SEO metrics, and its keyword suggestions may be less accurate. Verification with traditional keyword research tools is recommended for precision.

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