Why I Use The ROSES Prompt Framework For AI Marketing
- Chris McLellan
- Jul 10
- 3 min read
Updated: Oct 4
A simple and memorable prompt framework is a key part of building responsible and scalable AI marketing practices.
Quick Summary
AI prompt frameworks like ROSES are becoming essential for marketing teams using generative AI. They add structure, clarity, and consistency to prompt writing, reducing trial and error, improving quality, and keeping outputs on brand.
The ROSES framework — Role, Objective, Scenario, Expected Solution, Steps — is simple but powerful. It helps teams get better results from tools like Custom GPTs, NotebookLM, Sora, N8N, and Voiceflow.
Chris McLellan is the Principal at Friends Electric, an AI marketing consultancy that blends data, strategy, and AI to accelerate growth.
Why AI Prompt Frameworks Matter
Prompt frameworks are having a moment. As AI adoption spreads across marketing teams, there’s growing interest in ways to structure prompts to get more consistent, brand-safe results. The goal is clear: reduce trial and error, save time, and make outputs more predictable.
You’ll often see names like PEEL, OCAR, RAC, and FAB tossed around in AI marketing circles.
Each has its niche, whether it’s for generating ad copy, formulating plans, or writing product descriptions. But not every framework is built for versatility.
Why I Use The ROSES Prompt Framework
I currently use the ROSES prompt framework because it’s simple, clear, and covers most of the bases. It’s easy to remember and works across use cases, from drafting content and advising on growth programs to running marketing automations.
Some of the AI marketing practitioners I trust the most use it, too.
What Many Folks Misunderstand About AI Prompts
Most business users underestimate how critical prompt frameworks are.
Without them, outputs become wildly inconsistent, off-brand, or even non-compliant. That leads to wasted time, excess iteration, and frustrated teams.
Frameworks like ROSES aren’t just helpful, they’re essential for scaling AI content safely and effectively.
In fact, research suggests that 68% of businesses now provide prompt-engineering training to their staff, both technical and non-technical. And organizations that use structured prompt-engineering processes report 34% higher satisfaction with their AI deployments.
Most well-constructed prompts aren't written from scratch each time. They're stored and reused, often baked into purpose-built bots like Custom GPTs, or saved in prompt libraries that support ongoing tasks.
That’s where frameworks like ROSES shine: they make prompts modular, scalable, and easy to update without starting over.
Breaking Down The ROSES Framework
At its core, ROSES is a flexible structure that helps you think clearly and write better prompts, faster.
What ROSES stands for:
Role - define who or what role the AI represents
Objective - clarify the goal or desired outcome
Scenario - describe the context or situation
Expected Solution - outline what a good answer looks like
Steps - list the key actions or structure to follow
That simple layout provides a cognitive scaffold for your prompt writing. It forces clarity, reduces ambiguity, and improves reproducibility, especially important when multiple team members are using an AI tool for the same marketing outcome.
Pro tip: Even when prompts have been added, Generative AI tools perform better when you also upload an example of a successful output to their knowledge base, even if it's just a screengrab. It really helps the AI model understand your expectations for tone, structure, design, and quality.
Where To Use The ROSE Prompt Framework
Use ROSES anytime you’re drafting instructions for focused AI tools, including:
"Task bots" like Custom GPTs and Google Gems
AI Research Assistants like NotebookLM or ChatGPT Projects
Image and video generators like Sora, Nano Banana, Midjourney, or Runway
AI Agent platforms like N8N, Voiceflow, and GPT Actions
In my experience, it’s especially powerful in marketing use cases, where scale, consistency, and brand control are critical.
But even for quick, one-off prompts, it helps you slow down, think strategically, and get clearer, more intentional results.
Happy Prompting!
Hope this shed some light on my process and informs your next AI marketing project.
Until next time.
I’m Chris McLellan I’m a Certified Chartered Marketer and the founder of Friends Electric, a personal marketing consultancy that blends data, AI, and strategy to accelerate growth.
I help startups, scale-ups, and established brands across Canada, the UK, and the US with AI-enabled marketing, product launches, and integrated campaigns.
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