Prompt is the input text, question, or instruction given to a [large language model](/glossary/llm) to generate a response. It serves as the starting point that guides the AI’s output.
Prompt is the input text, question, or instruction given to a large language model to generate a response. It serves as the starting point that guides the AI’s output.
A prompt is what you “say” or type to an AI to get it to do something. It can be a simple question like “What is SEO?” or a detailed instruction like “Act as a marketing expert and create a 30-day content plan for a SaaS company.”
The quality and clarity of the prompt heavily influence how good, accurate, and useful the AI’s answer will be.
The way you write prompts directly affects the quality of AI responses. Well-crafted prompts can dramatically improve the relevance, accuracy, and usefulness of answers, which is why “prompt engineering” has become an important skill.
A prompt works by providing context, instructions, and constraints to the AI model
Input construction. Crafting the question, instructions, or context for the AI.
Context setting. Giving background information or role-playing (e.g., “Act as an expert...”).
Specificity. Adding details, constraints, format requests, or examples.
Model processing. The AI interprets the prompt and generates a response based on its training.
Output generation. The model produces an answer guided by the prompt’s direction.
The quality of your prompt affects the AI’s response.
Good prompts are clear, specific, and provide context.
Prompt engineering is considered a skill for working with AI.
Different AI models respond better to different prompting styles.
Prompts can include system instructions, few-shot examples, and chain-of-thought guidance.
Well-written prompts help reduce hallucinations and improve answer accuracy.
Prompt
Query
Prompt
Query
Prompt
Query
Prompt
Query
Prompt
Query
Prompt
Query
Prompt
Query
To get better results from AI systems when using or optimizing prompts
Be specific about what you want the AI to do.
Provide relevant context and background information.
Use structured formats: role, task, format, examples.
Ask the AI to think step-by-step, aka chain-of-thought prompting.
Specify the desired output format: bullet points, table, summary, etc.
Give examples of good responses when possible.
Refine your prompts iteratively for better results.
No credit card needed ✦ 14-day trial on all plans
AI Answer Mechanics
Learn how prompt sensitivity affects AI outputs and why small wording changes can influence answers and citations.
AI Visibility Metrics
Understand how query coverage measures the range of relevant searches where a brand appears in AI-generated responses.
AI Answer Mechanics
Learn what Retrieval-Augmented Generation (RAG) is and how AI systems use external sources to improve answer accuracy and freshness.
