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.
Generate an Opinion About the Power of the Senses in Copywriting
How can I use the power of the senses in my copywriting to create an emotional connection with my audience?
Using customer testimonials to build trust with an audience
How can I use customer testimonials in my copywriting to build trust with my audience?
What is the Difference Between a Feature and a Benefit in Copywriting?
What is the difference between a feature and a benefit in copywriting?
Creating Persuasive Copy Using the PAS Formula
How can I use the PAS formula to create persuasive copy?
Write a user-friendly meta description
Suggest a meta description for the content above, make it user-friendly and with a call to action, include the keyword [keyword].
Provide examples that connects
Provide examples that connect the ideas of [topic].
Walk in your audience's shoes
Describe feeling like [audience] in 10 adjectives.
Be more playful
Rephrase the text above in a playful tone of voice.
Include your task description within your prompt
This is an article followed by a summary written in informal language: <input article content> Summary in plain language:
Specify the length of your output in the prompt to have more control of the generation
Write a 280-character witty Tweet about Meta and the Metabase.
Ask for an opposing, or unique, opinion to generate different perspectives and non-generic responses
Give me the opposing opinion to the idea that using copyright-protected work to train AI models is covered under the Fair Use doctrine.
How to Write a Factsheet for a Specific Audience: A Guide to #InfobaseReference
Write a factsheet for [specific audience] about #InfobaseReference
How to Write a Factsheet for a Specific Audience: Tips and Tricks
Write a factsheet about [topic or URL] for [specific audience]
How to Create Effective Social Media Posts for Promoting Blog Posts: Tips and Tricks
Create 5 social media posts promoting this blog post: [blog post URL]
10 Curiosity-Driven [Topic] Headlines to Increase User Engagement
Write 10 [subject lines / headlines / social media threads / ad headlines / etc. ] with a curiosity gap that discuss [ topic ]
How to Write an Article, Strategies, Techniques, and Tips
Write an article about [topic]. Consider diverse perspectives and write it in a [preferred tone] tone.
Fun Bedtime Story Writing: Create A Tale With the Character of Your Choice
Write a fun bedtime story for [whomever you want], with them as a main character.
Generate 10 Engaging Content Ideas for Your Audience - Brainstorming Tips
Brainstorm 10 content ideas related to [topic] that [your audience] would find interesting and beneficial.
How to Address Objections When Hiring Candidates for Open Position as World-Class [Job Title]
You are a world-class [job title]. Assume [LinkedIn profile URL] is a candidate for [open position]. As the [job title], identify 5 objections you might have about hiring this candidate and write a script of adequate responses to each objection that would persuade you to hire this candidate.
Responding to Customer Objections for Link Product/Service: Handling 5 Common Objections
Identify 5 customer objections for [link to product/service] and provide a script for responding to each objection.
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.”
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.