Create unique semantic relevance with ChatGPT

Search and store tool for Chat GPT Prompt

 GPT   Midjourney 
productivity
product
marketing and copywriting
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chatgpt
prompt
email
copywriting
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general
persona
customer
ecommerce
techniques
programming
market research
health
customer persona
education
programming and data
finance
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ideal customer persona
campaign
wellness
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social media
search
content
email marketing
research
wellness and fitness
market
marketing campaign
target audience

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

Cluster a list of keywords

Cluster the following keywords (add a core topic for each group) based on their semantic relevance:...

cluster keywords semantic relevance core topic group
Unlock the Power of SEO with ChatGPT: 10 Prompts to Help You Get Started

"Prompt: Identify 10 SEO keywords related to [topic]". "Create a list of 5 SEO keywords related to this product description [product description]." "Provide a list of 5 frequently asked questions in relation to [Keyword]." "Discover the top 5 SEO keyword strategies for [topic]" "Organize the search intent (informational, commercial or transactional) for these keywords in a table: [keywords]" ...

seo keywords topic product description frequently asked questions keyword strategies search intent semantic relevance blog post titles ctr audience

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.