Create unique unique selling points with ChatGPT

Search and store tool for Chat GPT Prompt

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

Writing an Ecommerce Store Product Listing Description with ChatGPT

Preview

Write an ecommerce store product listing description for a [product name]. Use quick, concise, [brand or style]-like language that appeals to a broad audience. Emphasize its [unique selling points], and don't sound too promotional. Get straight to the point-no introduction.

ecommerce product listing product description unique selling points promotional quick concise

Create a Marketing Campaign Outline Using the 'Unique Selling Proposition' Framework

Preview

Write a marketing campaign outline using the 'Unique Selling Proposition' framework to highlight the [unique selling points] of our [product/service] to [ideal customer persona]. Craft copy that clearly communicates these points and persuades the reader to take action.

marketing campaign outline unique selling proposition framework unique selling points product service ideal customer persona copy persuade action

Generating an Opinion About a Twitter Thread Idea

I need a Twitter thread idea that will showcase the unique selling points of my [product/service] and attract high-quality leads with a sense of urgency and exclusive offers.

twitter thread unique selling points high-quality leads sense of urgency exclusive offers

Write a Press Release for [Company Name] Partnering with [Partner Company Name]

Preview

Write a press release for [company name] partnering with [partner company name] to release a [product or service name] starting at [price]. Speak in smooth, elegant tones emphasizing [unique selling points] in a humblebrag sort of way.

press release company name partner company product or service price unique selling points humblebrag

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.