Writing better prompts: how to get more out of AI tools 2025

MacBook laptop on a modern desk showing a ChatGPT conversation interface, surrounded by a coffee mug, notebook, and plant, warm lighting, professional workspace for writing effective AI prompts

The quality of AI output depends entirely on the input you provide. A poorly formulated prompt yields generic results, while a sharp question can provide exactly what you're looking for. For entrepreneurs and marketers who want to save time and achieve better results, prompt engineering has become an essential skill.

Summary
  • Basic formula: Role + Goal + Context + Details for effective AI communication
  • Crucial elements: Assign a specific role, clear goals, sufficient context, desired output format
  • Common mistakes: Being too vague, not assigning a role, forgetting the output form, asking too much at once
  • Iterative process: Test, refine, and adjust for optimal results
  • Practical value: Better prompts save time, deliver better output, and increase AI effectiveness

Are you already using AI in your marketing? Then also read our guide on top AI tools for marketers in 2025 for practical applications.

Why prompt quality makes the difference

AI tools like ChatGPT, Claude, or Gemini are powerful, but they lack context and intuition. They interpret literally what you ask, without reading between the lines. A vague question yields a vague answer. A specific, targeted prompt generates output that you can use directly.

The quality of AI output depends entirely on the quality of the prompts you give - garbage in, garbage out applies here more than ever
— Sam Altman, CEO OpenAI
Source: OpenAI - GPT-4 Technical Report & Best Practices

For entrepreneurs who want to use AI for growth, be sure to check out our AI-driven marketing strategies for 2025.

The ROCKET formula for effective prompts

Instead of asking questions randomly, use this structured approach:

  • Role - Who should the AI be?

  • Objective - What needs to be done?

  • Context - For whom and in what situation?

  • Kuality requirements - Which specifications?

  • Example - Give an example (optional)

  • Tone - Which tone and style?

Example of the ROCKET formula in action

Bad: "Write a text about lead generation"

Good:

  • Role: You are a B2B marketing consultant with 10 years of experience.

  • Objective: Write a practical guide of 800 words.

  • Context: For SMEs in the technology sector who are struggling with lead quality.

  • Quality requirements: Use 5 concrete tactics, each with a practical example.

  • Tone: Professional but accessible, avoid jargon.

Want to learn more about lead generation? Check out our lead generation services for SMEs.

The difference between a good and bad result from AI often lies in one or two words in your prompt - specificity is everything
— Andrej Karpathy, Ex-Director of AI at Tesla
Source: Andrej Karpathy - Neural Networks: Zero to Hero Course

Advanced prompting techniques that work

1. Chain of thought prompting

Let the AI reason step by step by adding "think step by step".

Example: You are an e-commerce consultant. A Shopify store has a 2% conversion rate, but the sector average is 3.5%. Analyze step by step which factors could be causing this and give 3 priority improvement actions.

For more tips on conversion optimization, read our article on CRO in 2025 with AI and personalization.

2. Few-shot prompting

Give examples of desired output.

Example: You are a copywriter. Write product descriptions in this style:

Example 1: "This organic coffee from Colombia awakens your senses. Every sip brings you the warmth of the Andes mountains."

Example 2: "Handmade soap with lavender. Your skin feels soft, your bathroom smells like Provence."

Now your version for: eco-friendly bamboo toothbrushes.

3. Persona prompting

Let the AI answer from a specific perspective.

Example: You are Emma, 34 years old, marketing manager at a scale-up with 50 employees. You have a limited budget but need to show results. Which 3 marketing channels would you prioritize and why?

Practical prompt templates for marketing

For content strategy

Template: You are a content strategy expert. Create a content calendar for [company/sector] for Q1 2025.

  • Target audience: [description]

  • Channels: [LinkedIn/blog/email]

  • Goal: [leads/awareness/sales]

  • Tone: [professional/casual/expert] Provide 4 content ideas per month with title, platform, and call-to-action.

More about content creation with AI? Read our article about AI copywriting in 2025: human or machine.

For ad copy

Template: You are a direct response copywriter. Write 3 Facebook ads for [product/service].

  • Target audience: [specific description]

  • Benefit: [biggest pain point you solve]

  • Length: maximum 125 characters

  • Include: urgency and social proof

  • Test different hooks

For professional advertising strategies, check out our performance marketing services.

For email marketing

Template: You are an email marketing specialist. Write a welcome sequence of 3 emails for new subscribers of [company].

  • Mail 1: Welcome + expectations

  • Mail 2: Social proof + value

  • Mail 3: Soft sell Tone: [warm/professional/expertise] Each maximum 150 words.

For SEO content

Template: You are an SEO content specialist. Write a 1200-word blog post about [topic] for [target audience].

  • Primary keyword: [main keyword]

  • Secondary keywords: [list of 3-5 keywords]

  • Structure: H1, H2, H3 with natural keyword integration

  • Tone: informative and accessible

  • Conclude with a clear call-to-action

Want to learn how SEO and AI work together? Read our article on combining SEO and AI for smart content strategies. For professional SEO support, check out our SEO services.

Effective prompt engineering requires understanding how AI systems ‘think’ - it's a new skill that every professional must develop
— Yann LeCun, Chief AI Scientist Meta & Turing Award Winner
Source: Meta AI - Yann LeCun Profile

Common mistakes and how to avoid them

Mistake 1: Remaining too general

Mistake: "Create a marketing plan"

Better: "Create a 90-day lead generation strategy for a B2B SaaS startup with a €10k monthly budget"

Mistake 2: Not specifying an output format

Mistake: "Give tips for SEO"

Better: "Create a checklist with 10 SEO actions for local businesses, each with expected impact (high/medium/low)"

For local businesses specifically, read our article about local SEO in Belgium.

Mistake 3: Forgetting context

Mistake: "Write a product launch post"

Better: "Write a LinkedIn post for the launch of our new CRM module, aimed at sales managers in the Benelux"

Mistake 4: Not planning for iteration

Always start with "Version 1:" and ask for feedback to refine.

The RACE model for structured prompts

Another powerful method is the RACE model, specially developed for marketing prompts:

  • Reach - Who do you want to reach?

  • Act - What action should happen?

  • Convert - What is the desired result?

  • Engage - How do you maintain attention?

Read more about this model in our article about the RACE model for ChatGPT prompts.

Prompt optimization for different AI tools

ChatGPT specific tips

  • Use "Act as..." to clarify the role

  • Ask for sources with "Include sources"

  • For creativity: increase temperature in settings

Want a complete masterclass? Check out our ChatGPT masterclass 2025 guide.

Claude advantages

  • Excels in long documents and analysis

  • Provide more context, Claude can process that better

  • Explicitly ask for structure and formatting

Gemini strengths

  • Good at real-time information

  • Effective for data analysis prompts

  • Combine with Google Workspace for workflows

Measurable results from better prompts

The impact of structured prompts is measurable and significant. Research consistently shows better results for companies that systematically work on prompt optimization.

Practice confirms these figures. Dutch marketing agencies are at the forefront of prompt engineering, with impressive results.

For AI-driven automation in your company, discover our AI automation services.

The best prompts provide context, specify the desired output, and include examples - this increases the chance of success by 70%
— Jeremy Howard, Co-founder Fast.ai
Source: Fast.ai - Practical Deep Learning for Coders

Building your first prompt library

Step 1: Identify your most common tasks

  • Content creation (blogs, social media, ads)

  • Customer communication (emails, FAQs, support)

  • Strategy development (plans, analyses, reports)

  • Data analysis and interpretation

Step 2: Develop templates per category

Start with 3-5 basic templates that you use 80% of the time. Test these thoroughly before expanding.

Step 3: Test and document results

Keep track of which prompts give the best output for your specific use. Make notes of what works and what doesn't.

Step 4: Share and refine

Share successful prompts with your team and refine based on feedback and new experiences.

Want to get started right away with advanced techniques? Read our article on prompt engineering for advanced users.

The evolution towards autonomous AI and agents

The future goes beyond good prompts. We are evolving towards autonomous AI agents that perform complex tasks independently. Read more about this development in our article on autonomous AI and AI agents in marketing.

For companies that want to be at the forefront, now is the time to build AI skills. Start with prompt engineering, but keep an eye on broader developments.

From SEO to GEO: the future of findability

Prompt engineering is also becoming crucial for GEO (Generative Engine Optimization) - optimizing for AI search engines such as ChatGPT, Claude and Perplexity. Read our article on from SEO to GEO to be prepared for this shift.

Get started right away

Writing better prompts is a skill you develop by practicing. Start with the ROCKET formula, build a small library of your best prompts, and experiment with advanced techniques as you become more comfortable.

The difference between AI as a time-consuming toy or as a productivity booster lies in how you communicate with it. Invest in your prompt skills - the return is immediately visible.

For professional support with AI implementation in your company, check out our AI for growth services or schedule a free strategy consultation.

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Frequently asked questions about writing better prompts

  • A prompt is the instruction or question you give to an AI tool. It is similar to a briefing to a freelancer - the clearer you are, the better the result.

  • Research shows 40-73% better output with structured prompts versus free text questions. In practice, this often means the difference between usable content and something that needs to be completely rewritten.

  • The basic principles remain the same, but each tool has its own strengths. ChatGPT is good at creativity, Claude excels in analysis, Gemini performs strongly with real-time information.

  • With daily use, you will see clear improvement within 2-3 weeks. After 2-3 months, you will be able to apply advanced techniques.

  • Yes, but that is rarer than prompts that are too vague. If you notice that the AI is getting confused, break down complex tasks into smaller steps.

  • Create a document with categories (content, marketing, analysis) and mark your top 5 per category. Update monthly based on new experiences.

  • For complex tasks, yes, because AI models are often better trained on English data. For simple tasks, it doesn't matter much.

  • A good prompt generates output that you can use with minimal adjustments. If you have to rewrite a lot, optimize your prompt.

  • Yes, we offer AI audits, AI training ing and AI contentcreation for companies that want to use AI strategically.

  • Test new variations monthly and update your library quarterly based on what works best for your specific use. AI tools evolve quickly, so keep experimenting.

Sources and references

Prompt engineering best practices and techniques:

ChatGPT and AI tools for marketing:

AI adoption and trends:

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