# What is Prompt Engineering? | Yungle glossary

> Prompt engineering is the practice of crafting inputs to get better, more precise outputs from an AI model.

Source: https://yungle.ai/glossary/prompt-engineering/

1.  [Resources](https://yungle.ai/resources)
2.  Glossary

Glossary · P

# Prompt Engineering

In plain words

Prompt engineering is the practice of carefully crafting the instructions given to an AI model to produce more accurate, relevant, or useful outputs. It's used both to query AI tools effectively and, from a content standpoint, to reverse-engineer what phrasing and structure AI answer engines respond well to when generating citations.

Example

Instead of “write a blog post”, the prompt gives the audience, the goal, three sources, the tone and the length, and the draft needs far fewer edits.

Related resources

-   Glossary

    ## Call to Action

    A CTA is the prompt, usually a button, that tells a visitor exactly what to do next.

    [See term](https://yungle.ai/glossary/call-to-action-cta)
-   Glossary

    ## Large Language Model

    An LLM is the type of AI model, like GPT or Gemini, that powers modern AI search and chat answers.

    [See term](https://yungle.ai/glossary/large-language-model-llm)
-   FAQ

    ## What Is Agentic AI?

    Agentic AI refers to AI systems that can plan a sequence of steps and take actions on their own — searching, calling other tools, updating records — rather than just answering a single question and stopping. A basic chatbot responds to one prompt at a time; an agent can look up a customer's order, check inventory, and draft a follow-up email in one continuous task. This shift from "answering" to "doing" is what makes agentic AI relevant to real business workflows, not just customer-facing chat.

    [See answer](https://yungle.ai/resources?type=faq#what-is-agentic-ai)
-   FAQ

    ## How Do I Optimize My Website for AI Search Engines Like ChatGPT?

    Write clear, self-contained answers to specific questions using structured formatting like headers and lists, build genuine topical authority around your subject area, and make sure your content is easy for AI crawlers to access and parse technically. AI tools like ChatGPT and Perplexity favor content that directly answers a question without requiring the reader to piece it together from a long article. This is the core of AEO, and it overlaps heavily with good traditional SEO practice.

    [See answer](https://yungle.ai/resources?type=faq#how-do-i-optimize-my-website-for-ai-search-engines-like-chatgpt)
-   Insight

    ## How to Write Copy AI Answer Engines Can Quote

    A practical guide to writing website copy that ChatGPT, Perplexity and Google AI Overviews can extract, attribute to your brand and cite.

    [Read insight](https://yungle.ai/insights/writing-copy-that-ai-answer-engines-can-quote)

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