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How to Create a Keyword Research Assistant GPT

Updated on:
May 12, 2026
By:
Madhav Bhandari
Use this interactive demo to learn how to build a custom keyword research GPT in ChatGPT.

Quick summary

A custom keyword research GPT lets you configure a dedicated AI assistant in ChatGPT with tailored instructions, conversation starters, and uploaded knowledge files. By following the Configure tab setup flow, you can publish a reusable GPT tuned specifically for SEO keyword research tasks.


Steps

  1. On ChatGPT's main interface, open the left-side panel and click Explore GPTs.
  2. Tap Create at the top-right corner to begin building a new GPT.
  3. Switch the tab from Create to Configure to access the full setup options.
  4. Click the Add icon to upload a distinctive display photo for your keyword research assistant GPT.
  5. Enter a unique Name and Description into their respective input fields.
  6. Write detailed guidelines covering the purpose, behavior, and capabilities of your GPT into the Instructions field.
  7. Add relevant prompt examples into the Conversation Starters field one by one.
  8. Click Upload Files under the Knowledge section to import external documents as additional data sources.
  9. Review the Capabilities section and enable the GPT functions you need; optionally configure Actions for third-party app integrations.
  10. In the Preview Area, type a test prompt and click Submit to evaluate your GPT's initial performance.
  11. When satisfied, click Create at the top-right corner to finalize your custom GPT.
  12. Choose your preferred access configuration and click Save to proceed.
  13. Your keyword research assistant GPT is now created and published, ready to use.

📌 Why this matters

Building a custom keyword research GPT in ChatGPT gives SEO professionals and content teams a dedicated AI assistant trained on their own guidelines, data sources, and workflows. Unlike generic ChatGPT prompts, a configured GPT delivers consistent, context-aware keyword suggestions every time without repeating setup instructions. This approach saves hours of manual prompting, enables repeatable SEO research at scale, and can be shared across teams or integrated with third-party tools via Actions. For anyone looking to automate keyword discovery and streamline content planning, a custom GPT is a practical, no-code solution built directly inside ChatGPT.
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