The practice of deliberately crafting, structuring, and refining prompts given to an AI tool to reliably produce higher-quality, more specific, or more consistent output.
Why it matters
As AI tools become embedded in more marketing workflows, prompt engineering has become a genuinely valuable, distinct skill — understanding how to specify tone, format, constraints, and examples in a prompt can be the difference between a generic, unusable first draft and something close to final quality.
In a sentence
"We built a small internal library of proven prompts for common tasks — social captions, meta descriptions — after noticing how much output quality varied based on how the prompt was written."
Related terms
- Often confused with: Prompt (Category 9, Part One) — a prompt is the actual instruction given to an AI tool for a single task; prompt engineering is the broader practice and skill of deliberately designing and refining prompts for better, more consistent results.