Create unique long tail keywords with ChatGPT

Search and store tool for Chat GPT Prompt

Create unique and engaging long tail keywords with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.

79 Advanced ChatGPT Prompts: Create Long-Tail Keywords with ChatGPT
 79 Advanced ChatGPT Prompts: Create Long-Tail Keywords with ChatGPT
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Develop an SEO Content Plan for the my Keyword
 Develop an SEO Content Plan for the my Keyword
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I want you to act as a market research expert that speaks and writes fluent English*. Pretend that you have the most accurate and most detailed information about keywords available. Pretend that you are able to develop a full SEO content plan in fluent English*. I will give you the target keyword ["coffee"]. From this keyword, create a markdown table with a keyword list for an SEO content strategy...

Find Long-tail Keywords
 Find Long-tail Keywords
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Find X Long-tail keywords for "<input Seed Keyword>"

Identify Long-Tail Keywords for Content Optimization

Identify long-tail keywords for [TOPIC] content optimization

Generating long-tail keywords for targeted traffic to websites/products
 Generating long-tail keywords for targeted traffic to websites/products
Preview

Can you generate a list of long-tail keywords that I should target to attract more qualified traffic to my [website/product]?

What is “prompt engineering”?

A “prompt” is the input that guides a generative AI model to generate useful outputs. Generative AI tools like ChatGPT, GPT, DALL·E 2, Stable Diffusion, Midjourney, etc. all require prompting as their input.


What is prompt engineering

In a natural language processing (NLP) context, “prompt engineering” is the process of discovering inputs that yield desirable or useful results. As is the story with any processes, better inputs yield better outputs; or commonly said another way “garbage in, garbage out.


garbage in, garbage out

![Source: https://www.youtube.com/watch?v=1NQWJjgi-_k


Designing effective and efficient prompts will increase the likelihood of receiving a response that is both favorable and contextual. With a good prompt, you can spend less time editing content and more time generating it.



Going from beginner → advanced prompt engineer

As companies like PromptBase arise around the idea that the prompt is the “secret sauce” to using generative AI, prompt engineering could easily become the “career of the future.” But, any generative AI user can become an “advanced” prompt engineer. Here’s how

Spend time with the tools

  • The more time you spend asking ChatGPT questions and receiving responses, the better your idea will be of various prompting approaches and their individual strengths and weaknesses
  • Use Open AI’s GPT playground to perform interactive trial and error with variations in your prompt, model, temperature and top_p values (uniqueness of answer, i.e. creativity), and more available within the UI itself.
play background gpt3

Become a prompt researcher instead of engineer

  • If you’re already a subject matter expert in something, consider figuring out how to apply your personal skills to generating the best prompts in your field
  • For example, if you’re an expert in SEO, what questions do you ask yourself when creating SEO strategies? How can you translate this knowledge into better prompts to generate the same level of output with AI?

Become a prompt researcher instead of engineer

  • The term prompt engineer glosses over the idea that prompt formulation takes hypothesizing, research, result measurement, and repetition. Instead, approach prompting like a research project.
  • Try as many different variations and formulations of your prompt as possible. One problem can have hundreds of solutions and one solution can have hundreds of approaches. The same can be said of prompting.