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Why SMEs are asking one AI to do everything – strategy, copywriting, design briefs, analytics and getting mediocre results across the board.
It’s a scenario playing out in offices everywhere: You open ChatGPT. You type a prompt. You get a wall of text. You tweak it, sigh and eventually just rewrite it yourself.
You aren’t alone. With 800 million weekly active users (Index.dev) now logging into the platform, ChatGPT has become the default “do-everything” button for the modern workforce. But here is the uncomfortable truth: while usage is skyrocketing, most of us are using this technological marvel completely wrong.
The Problem: The One-Size-Fits-All Trap
The adoption numbers are impressive. In Malaysia alone, 2.4 million businesses (Technode.global) have now integrated AI into their workflows, a 35% surge in just one year. Everyone is rushing to get on board, but few know where the train is actually going.
Based on our findings with SMEs and Start-ups via a survey we conducted on usage of AI for marketing at a number of conferences and exhibitions we attended recently (NICE25 KL, Tech in Asia Jakarta 2025 and Cradle Live! ASEAN Startup Summit 2025), while 78% of them are using AI tools regularly (mostly for content writing), the cracks are showing. One of their top challenges is “Our messaging sounds like everyone else.”
The core issue isn’t that SMEs are not using AI, it’s how they are using it. Business leaders are treating ChatGPT as a catch-all solution for every department. They ask the same chat window to draft a high-level business strategy, write witty social media copy, generate a technical design brief and analyse complex financial projections.
Think of ChatGPT as a Swiss Army Knife. It has a blade, a screwdriver, a pair of scissors and a file. It is incredibly versatile. But right now, businesses are grabbing that Swiss Army Knife in a fist and using the handle to hammer nails, cut sourdough bread ( … a bit overrated btw) and perform open-heart surgery. It works barely, it’s messy, inefficient and frankly, dangerous.
Why This Happens: The B2C Trap in a B2B World
The appeal of the “one tool for everything” approach is obvious. Based on our findings, it shows that “saving time on research and brainstorming” is number one priority for most types of businesses. You want speed. But speed without strategy is just faster mediocrity.
It promises the impossible: scaling up output without scaling up overhead. But the reality is often a flood of generic deliverables. Marketing copy lands without a brand voice, strategic insights remain shallow and data analysis misses the nuance of your specific market.
So, why is this happening? The root cause is a fundamental misunderstanding of the tool you are holding.
1. You are using a consumer toy for an enterprise job.
Statistically, ChatGPT users are consumers. Recent data shows that while millions use it for work, the platform dominates the B2C (Business to Consumer) market, capturing 62.5% of the consumer AI subscription space (Index.dev). It was built to be a conversationalist for the masses, a generalist designed to chat, not a specialist designed to convert.
2. It’s a B2C tool, not a B2B solution.
Businesses are missing out because they are trying to force a B2C tool to handle complex B2B workflows. Enterprise AI demands security, precision and deep integration with your existing data. Consumer AI focuses on speed and general accessibility. When you use the “free” or standard version of ChatGPT for deep business strategy, you are effectively bringing a bicycle to a Formula 1 race.
3. You aren’t using the right LLM.
Not all Large Language Models (LLMs) are created equal. By relying solely on a generalist model, you miss out on specialised “vertical AI” tools trained on specific data sets like legal, financial or coding data, that drastically outperform a generalist chatbot.
What To Do Instead: Strategic Specialization
If you want to move from “incremental efficiency” to “transformative innovation,” you need to stop hammering nails with your pocket knife. Here is how to pair ChatGPT with the right mindset and specialised tools.
1. Copywriting: Context is King
Our survey indicated that 46% of SMEs and Start-ups struggle to know which bold ideas are worth the risk. A generalist AI cannot solve this because it is designed to be safe, not bold. To fix your copywriting, you must stop treating ChatGPT as a writer and start treating it as an editor. Instead of asking for a “blog post about cloud computing,” feed the AI your specific brand voice guidelines, your target audience persona and examples of your best past work. Better yet, pair the drafting capability of ChatGPT with a specialised tool like Cleve (a homegrown Malaysian AI startup). Tools like Cleve wrap the LLM in a layer of marketing logic, ensuring your content isn’t just grammatically correct, but strategically aligned with your Brand Identity and Brand Voice.
2. Strategy: The Sparring Partner
The same logic applies to strategy. You should never ask a B2C chatbot to write your business strategy, it lacks the nuanced understanding of your specific market friction. However, it is excellent at challenging your assumptions. Use the “Swiss Army Knife” for what the military calls “Red Teaming.” Feed it your existing strategy and ask, “Act as a skeptical investor. What are three reasons this marketing plan will fail?” This leverages the model’s reasoning capabilities without relying on it for creative novelty.
3. Data Analysis: The Analyst, Not the Calculator
When it comes to data, many SMEs are making the mistake of pasting financial tables into a text chat and asking for a summary. This is the equivalent of using a screwdriver to hammer a nail. LLMs are language predictors, not calculators and they frequently hallucinate numbers. To get value here, you must shift from generation to interpretation. Use specialised data environments like Julius AI or ChatGPT’s dedicated “Advanced Data Analysis” mode. These tools can process structured data files (Excel, CSV) and generate visualisations, allowing you to act as the analyst interpreting the trends, rather than the clerk crunching the numbers.
4. Creative Work: Concept vs. Execution
Finally, for creative work, use AI to bridge the gap between your brain and your design team. AI is terrible at the final polish, it struggles with fonts and layouts, but it is incredible at the “napkin sketch” phase. Use tools like Gemini, Midjourney or DALL-E to generate mood boards and concept art. This allows you to hand your human designers a visual reference that says, “Make it feel like this,” saving hours of revision time.
Conclusion: The Path Forward
The difference between a mediocre user and a power user isn’t the prompt, it’s the strategy.
The potential upside is massive. According to AWS’s 2025 Malaysia AI Adoption Report, Malaysian businesses that adopt AI strategically are seeing real results:
- 65% report a revenue increase.
- 72% report significant productivity improvements
But these results don’t come from using one tool for everything. They come from using the right tool for the right job.
Stop using your Swiss Army Knife like a hammer. Acknowledge that while ChatGPT is a miracle of modern tech, it is a generalist B2C tool. If you want B2B results, you need to pair it with specialised enterprise tools or, at the very least, use it with the precision it requires.
Depth over breadth equals results.
Start with one task today. Don't try to automate your whole company. Pick one process, like drafting a design brief or analyzing a single sales report and find the specialised way to do it right. See the difference.
Sources
- AI adoption surges 35 percent in Malaysia – AWS – TNGlobal
- 40+ ChatGPT Stats You Must Know in 2025: Usage, Growth & Impact
- Enterprise AI vs. Consumer AI: The Software Divide Explained | Blog
- BGI Survey on AI Marketing Usage among SMEs and startups
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