Create unique copy with ChatGPT

Search and store tool for Chat GPT Prompt

Create unique and engaging copy with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content. With ChatGPT, you can take your copywriting to the next level by crafting compelling messages that resonate with your audience. Our state-of-the-art language model can help you write copy that is both persuasive and informative, helping you connect with your target market and drive conversions. Say goodbye to generic, uninspiring copy – with ChatGPT, you can elevate your brand and stand out from the crowd.

7 Proven ChatGPT Prompts: Follow up on referral

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7 Proven ChatGPT Prompts: Create upsell strategy

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7 Proven ChatGPT Prompts: Research lead sources

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7 Expert ChatGPT Prompts: Conduct focus group

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7 Advanced ChatGPT Prompts: Develop new revenue stream

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7 Advanced ChatGPT Prompts: Follow up with potential client

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7 Advanced ChatGPT Prompts: Review sales pipeline

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8 Advanced ChatGPT Prompts: Develop marketing collateral

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7 Expert ChatGPT Prompts: Develop marketing strategy

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8 Strategic ChatGPT Prompts: Create affiliate marketing plan

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6 Innovative ChatGPT Prompts: Create content marketing plan

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7 Innovative ChatGPT Prompts: Create sales presentation

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7 Proven ChatGPT Prompts: Conduct market segmentation

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7 Advanced ChatGPT Prompts: Schedule sales call

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7 Strategic ChatGPT Prompts: Create customer journey map

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7 Advanced ChatGPT Prompts: Create email marketing plan

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7 Advanced ChatGPT Prompts: Analyze marketing metrics

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6 Advanced ChatGPT Prompts: Create sales pitch

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7 Proven ChatGPT Prompts: Schedule pitch meeting

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7 Proven ChatGPT Prompts: Review lead qualification process

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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.

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.”

![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.

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.