How to Use GTP-3 to Generate SEO Content in Minutes

Do you want to create content for your website or social media quicker? Are you a digital marketer or SEO professional in need of more organic leads? 

GTP-3 and Generative AI is here to revolutionize the way you create content. I will explain my step-by-step process to show how GTP-3 can be leveraged to create engaging content quickly and efficiently.

I will also discuss how it can be used in SEO and digital marketing to generate SEO-friendly content, create content tailored to target audiences, and help address customer inquiries.

Read more or watch the YouTube video(Recommended)


What is the GPT-3 API?

The GPT-3 API is a tool developed by OpenAI that allows users to generate natural language text based on a given prompt. 

The API uses a powerful language model trained on a massive amount of text data, which enables it to generate human-like text that can be used for a variety of purposes, such as generating responses to customer inquiries, creating content for websites or social media, or even as the basis for chatbots or virtual assistants.

The API is accessible through a simple API call, making it easy for developers to integrate into their applications.

What is Python?

Python is a high-level, general-purpose programming language that is widely used in web development, data analysis, and scientific computing.

It is known for its simplicity and readability, making it a popular choice for beginners and experienced developers alike.

Python can be used to create a wide range of applications, including web applications, desktop applications, scientific simulations, and data analysis tools. It is also commonly used as a scripting language for automating tasks and integrating with other programs.


How Did I Write The Blog Posts with GPT-3 and Python – Step-by-Step

Here is the step-by-step process I used for writing the blog posts. The process involves creating a topic map, using a GPT-3 Python script to generate the posts, filling in headlines, testing the script, uploading the posts, and admiring the finished product.

Step 1: Create a Topic Map

To start, I created a “topic map” of the topic I wanted to write about – in this case, artificial intelligence (AI). I was able to come up with 22 possible topics related to AI.

Step 2: Create a GPT-3 Script

Once you have a set of topics and titles to write about, you can take your ideas to GPT-3. Here I used a Python script with the GPT-3 API that can create blog posts with minimal effort from you.

Step 3: Fill in H1 Headlines

To make the GPT-3 script I had given the script all the H1 headlines I wanted it to write about from the topics and titles you chose for your blog posts.

Step 4: Test run the Script 

Head over to the terminal and press play on the script, taking your time to review the output. Test the structure from the script and make any necessary edits before turning into actual blog posts.

Step 5: Upload the Blog Posts

When you are satisfied with the posts that your GPT-3 script wrote, upload them to your website or a blog platform. Remember to double-check the facts and any other information before publishing the posts.

Step 6: Enjoy the Finished Product

Head back to your website and admire your finished blog posts. With a total of 22 blog posts written in 9 minutes or less, you have proven the power and speed of GPT-3.


How can this process be used in SEO and digital marketing?

The power and speed of large language models can revolutionize the way digital marketers and SEO specialists create content

By leveraging the GPT-3 API, marketers can quickly generate content with natural language text that can be used to attract more organic leads. SEO professionals can use GPT-3 to automatically generate SEO-optimized content without having to manually write each post.

For SEO professionals, GPT-3 can help generate well-researched content that meets SEO standards. GPT-3 can generate content with specific keywords, helping to boost search engine rankings. 

This will ensure that your content reaches a wider audience and drives more organic traffic to your website.

Digital marketers can also use the GPT-3 API to generate engaging content for social media platforms.


For example, the GPT-3 API can be used to create content tailored to target audiences based on the user’s data. This way, marketers can create content that will draw more engagement and gain more followers.

In addition, GPT-3 can be used to create chatbots that can help marketers address customer queries with natural language and interact with customers in a more efficient manner. This way, marketers can ensure customer satisfaction and build a positive relationship with potential leads.

With the GPT-3 API, digital marketers and SEO professionals can quickly generate content that is SEO-friendly, engaging, and tailored to their target audience

With a powerful language model and a simple API call, the GPT-3 API can help marketers and SEO professionals take their content creation to the next level.


In conclusion, GPT-3 offers a revolutionary way to quickly create SEO-friendly and engaging content for websites or social media. 

Not only can it generate natural language text based on user input, but the API is also easy to integrate into existing applications.

With GTP-3, digital marketers and SEO professionals benefit from generating content tailored towards target audiences faster and easier than ever before – all while ensuring that organic leads are drawn in by the increased search engine rankings brought upon by well researched content with specific keywords. 

Give GPT-3 a try today, your results will amaze you!


  1. The Python script you used to generate the prompts for AI art etc in your recent video where you made your own book An Amazon Jungle Adventure from beginning to end is it available for download and if so where can I download it, please?

  2. Hello! I was wondering if there was a place where I can find the python scripts that you used for:

    1)Your YT video “A Fully Illustrated Narrated Adventure Story”
    2) The .pdf summarizing script?

    Thank you so much!

  3. Hi Kristian, this article has been incredibly helpful! I would love to look at the script to understand your implementation better. Would you mind sending me the script via email as well?

  4. Hi Kristian,
    Can you share the python script available that you used to create chunks from a PDF book for summarizing?
    Thank you!

  5. Hi Kristian,

    Can I join the list of people requesting your Python script? Email me or you could make it a Github gist. And thanks for your great posts! I bet they are partially generated, but that makes them a great showpiece.

  6. Hi Kristian,
    Can you share the python script available that you used to create chunks from a PDF book for summarizing?
    Thank you!

  7. Hello Kristin,
    Fascinating work. Well done.
    Please could you point me to the Python scrips you have been using?
    Also, what application do you use to run the scripts?
    Very many thanks,

  8. Hello Kristin,

    I find your work fascinating and commend you for a job well done. Would it be possible for you to provide me with the Python scripts that you have utilized?
    Furthermore, I would appreciate it if you could inform me about the application you utilize to run these scripts.

    Thank you very much

  9. I wan to convert pdf in to summaries contents to read college literature in short time with job. Can you send this python script to me ?

    • I’ve emailed you the details on how to access my AI ChatGPT Text/PDF Summarizer Script, along with tutorials and some prompt engineering materials. 🙂

  10. Hi Kristian, great stuff! Thank you. Please add me to the list of people interested in your python script. And do you do consulting for hire?

    • Hi there! I’ve just emailed you some details on how to access my AI ChatGPT Text/PDF Summarizer Script and Tutorials, along with some tips on prompt engineering. Enjoy! 😊

  11. Hi Kristian,

    Just happened to find your blog.
    This is what I need now!
    Can I also have the Python script, please?

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