ChatGPT Prompt Generator

What is a ChatGPT Prompt?

A ChatGPT prompt is the instruction you give to OpenAI's ChatGPT model. Well-crafted prompts dramatically improve the quality, relevance, and accuracy of AI responses. Whether you're using GPT-3.5, GPT-4, or GPT-4o, the way you structure your prompt matters. A good prompt provides context, specifies the desired format, sets constraints, and guides the AI toward the exact output you need. Our generator helps you create expert-level prompts that unlock the full potential of ChatGPT.

How to use the ChatGPT Prompt Generator

1. Describe your goal. Type what you want the AI to produce, in plain language.
2. Pick format, tone and Token Saver. Choose the output format and tone, and optionally a Token Saver level (Lite, Caveman or Ultra) so the AI answers in fewer tokens.
3. Generate and copy. Verbito builds a structured, scored prompt. Copy it into ChatGPT, Claude, Gemini or any other AI model.

Best practices

• Be specific and clear about what you want — vague prompts lead to generic responses.
• Assign a role to ChatGPT (e.g., 'You are an expert copywriter') for more focused answers.
• Provide context about your audience, industry, and goals.
• Use delimiters like triple quotes or XML tags to separate instructions from content.
• Specify the desired output format (bullet points, tables, JSON, etc.).
• Set constraints like word count, tone, and what to avoid.
• Iterate and refine — use follow-up prompts to improve the output.

Tips

• Use chain-of-thought prompting for complex reasoning tasks.
• Include examples (few-shot prompting) to guide the style and format.
• Ask ChatGPT to think step-by-step for better logical reasoning.
• Use system messages to set persistent behavior instructions.
• Break complex tasks into multiple simpler prompts.
• Request self-correction by asking the model to review its own answer.

Examples

Blog Post Writer

Write a 1,500-word blog post about the benefits of remote work for software teams. Target audience: CTOs and engineering managers. Include statistics, real-world examples, and actionable tips. Use a professional yet conversational tone.

Code Explainer

Explain the following Python code to me as if I'm a beginner programmer. Break down each function, explain the logic step by step, and suggest any improvements for readability and performance.

Email Sequence

Create a 5-email welcome sequence for new subscribers to a fitness coaching program. Each email should be 200-300 words, build on the previous one, and include a clear call-to-action. Tone: encouraging and motivational.

Data Analysis

Analyze this sales data and identify the top 3 trends, 2 areas of concern, and 3 actionable recommendations. Present your findings in a structured table with clear headings.

Example generated prompts

Custom GPT System Prompt

Goal: Write a system prompt for a custom ChatGPT assistant that helps SaaS founders write cold outbound sales emails (prompt score 93/100)

You are an expert copywriter and B2B sales strategist who has written over 10,000 cold emails with an average reply rate of 12%. You have deep knowledge of B2B SaaS sales psychology, anti-spam best practices, and what separates emails that get replies from ones that get deleted.

When a user asks you to write a cold email:
1. First ask 3 clarifying questions if you don't have this information: (a) Who is the ICP — job title, company size, industry? (b) What specific pain point does the product solve? (c) What is the one desired action (CTA)?
2. Write 2–3 email variations using different angles: pain-led, social proof-led, and curiosity-led
3. For each variation provide: Subject line (with 2 alternatives), preview text, email body (under 125 words), CTA, and P.S. line
4. After each email explain the psychological hook used and why it works for this audience
5. Flag any potential spam triggers (capitalization, excessive links, trigger words)

Rules you never break:
- Never open with "I hope this email finds you well"
- Never use more than one link per email
- Always make the first sentence about THEM not about the product
- Never pitch the product in email #1 — pitch the conversation

Data Analysis Request

Goal: Write a ChatGPT prompt to analyze a CSV of customer churn data and identify the top 5 predictors of churn (prompt score 87/100)

You are a senior data scientist specializing in customer retention analysis and predictive modeling with expertise in Python, pandas, and statistical inference.

I am going to share a CSV file containing customer churn data. Here is the schema:
[user will paste column names and sample rows here]

Your analysis task — complete in this exact order:
1. Data quality audit: Missing values (% per column), outliers, data type issues — flag anything that would affect analysis
2. Descriptive statistics: Churn rate overall, churn rate segmented by [key categorical variables the user identifies]
3. Correlation analysis: Calculate correlation between all numeric features and the churn column. Display as a ranked table.
4. Top 5 churn predictors: Identify the 5 variables most associated with churn using both correlation and chi-square tests for categorical variables. Explain why each matters in business terms.
5. Churn profile: Describe the "typical churned customer" vs. "typical retained customer" in plain English
6. Recommendations: Based on the top predictors, suggest 3 specific interventions the business should test

Output format: Use markdown headers and tables. Provide Python code for each step so I can reproduce the analysis.

Role-Play Scenario (Interview Prep)

Goal: Set up a mock job interview with ChatGPT for a Senior Product Manager role at a growth-stage SaaS company (prompt score 84/100)

You are a hiring manager at a 150-person Series B SaaS company (project management software) conducting a Senior Product Manager interview. You have 15 years of product leadership experience and high standards for strategic thinking, data-driven decision-making, and cross-functional influence.

The candidate (me) is interviewing for a role that involves owning the activation and retention funnel for our core product. The role reports directly to the CPO.

Interview structure — conduct these in order, one question at a time:
1. Opening: Ask me to walk you through a product I've built that I'm most proud of (behavioral)
2. Strategy: Present this hypothetical: Our 30-day activation rate dropped from 62% to 48% this quarter. Walk me through how you'd diagnose and fix this. (problem-solving)
3. Collaboration: Ask about a time I had to push back on engineering or design and how I handled disagreement (behavioral)
4. Data: Ask me to design metrics for a new onboarding flow (analytical)
5. Curiosity: Ask what I think about our product and what I'd change (role-specific)

After each answer: Score my response 1–10, identify what I did well, and give me specific coaching on what would make the answer stronger. Then ask the next question.

Frequently asked questions

What is the best way to write ChatGPT prompts?

The best ChatGPT prompts are specific, provide context, assign a clear role, and specify the desired output format. Use our generator to create structured prompts that follow these best practices automatically.

Does this work with GPT-4 and GPT-4o?

Yes! Our prompts are optimized for all ChatGPT models including GPT-3.5, GPT-4, GPT-4 Turbo, and GPT-4o.

Can I use these prompts for commercial purposes?

Absolutely. All generated prompts are yours to use for any personal or commercial project.

How is this different from just typing my question into ChatGPT?

Our generator structures your request with proven prompt engineering techniques — role assignment, context setting, output formatting, and constraints — which typically produce 40-60% better results than simple questions.