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6 Advanced ChatGPT Prompts: Creating competitive market analyses

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6 Innovative ChatGPT Prompts: Creating market sizing reports

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6 Innovative ChatGPT Prompts: Developing market reports

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6 Proven ChatGPT Prompts: Develop keyword research plan

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6 Expert ChatGPT Prompts: Write website title tags

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6 Advanced ChatGPT Prompts: Writing research-driven case studies

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6 Advanced ChatGPT Prompts: Conducting keyword research for content

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6 Innovative ChatGPT Prompts: Conducting research-driven product positioning analyses.

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6 Innovative ChatGPT Prompts: Generating market research ROI analyses

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6 Innovative ChatGPT Prompts: Developing predictive market analysis models

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6 Proven ChatGPT Prompts: Crafting market research question guides

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6 Strategic ChatGPT Prompts: Generating custom research objectives

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6 Advanced ChatGPT Prompts: Writing market research summaries

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6 Innovative ChatGPT Prompts: Creating market segmentation models

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6 Expert ChatGPT Prompts: Conducting industry trend analysis

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6 Expert ChatGPT Prompts: Conducting market research data analysis

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6 Proven ChatGPT Prompts: Writing market research reports

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6 Expert ChatGPT Prompts: Writing market analysis reports

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6 Innovative ChatGPT Prompts: Writing competitor analysis reports

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6 Proven ChatGPT Prompts: Conducting user research for product development

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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.”


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.