4 Marketing Strategy ChatGPT Prompts Small Business Owners Should Use

Patrick McFadden • May 2, 2023

If you're a small business owner, chances are you've been hearing a lot of chatter about ChatGPT lately. This tool is generating some serious buzz in every industry, and rightfully so. The big question on every business owner's mind is, how can we harness the power of this technology to its fullest extent?


Today I'm going to talk about my favorite marketing subject - marketing strategy. Now, I know what you might be thinking, "heard it all before, Patrick". But let me tell you, we've been utilizing ChatGPT to elevate our marketing strategy game, and it's not meant to replace our expertise, but rather assist us with the work we already do. It's like a virtual research assistant that makes us quicker and more effective, helping us uncover fresh perspectives that we might have missed otherwise.


So here's the deal - I know you're probably bombarded with information and opinions on marketing strategy, but today I'm going to share insight into the marketing strategy ChatGPT prompts that you must use today.


Customer Insight

Today’s small business owners believe that getting loyal clients is about the right clients choosing you. But I have come to realize over time that creating loyal clients is mostly about you choosing the right client.


Far too many of you subject yourself to serving “anyone with money” or worse “anyone you hope will pay.” Understanding, narrowing and choosing clients that value what you bring to the table, respect your staff, pays on time and enjoys a partnership over a transaction is how to build a business that truly can thrive.


But you must understand who you are equipped to serve best and you must do everything in your power to attract, serve and choose them over all else. Smart businesses don’t sit back and let the customer choose them; they take control over the ideal clients they create and attract by how and what they communicate verbally and visually before, during and after the sale.


Marketing Strategy Prompt: You are an X (e.g., persona or target audience). List common challenges that you face.  {follow up question of your choice} Create a customer persona for our target market for the X service.


Real Problem You Solve Insight

Now that you know who your ideal customer is, the next step in creating a marketing strategy for your small business is to figure out what problem you are actually solving for your customers. 


Here’s the cold, hard truth—nobody cares about you or what you sell (and nobody will ever care as much about what you’re selling as you do). They just want their problem solved. While your business may be incredible, all your customers and prospects care about is what they want and need, and they’ll go with the business that promised them that.⠀


Now a great place to uncover these problems is your Google reviews. But instead of just paying attention to five-star reviews, ask ChatGPT to scan through the reviews and give you a sentiment or themes.


When people voluntarily turn to a third party like Google and leave a glowing review it is an indicator that they have been thoroughly impressed. You have exceeded their expectations. You have solved their problem. 


Marketing Strategy Prompt: Provide a sentiment (summary, report, list, etc.) from this [paste Google Business profile link or Copy and paste 10-12 reviews]


Message Development Insight

Matching your message to your ideal client is pretty much everything when it comes to marketing these days.

Think about you – you’ve got about a couple of seconds to get and keep someone’s attention and you can’t waste that precious time with a message that doesn’t focus on what clients want more than anything - their problems understood and solved.


While your business may be incredible, all your customers and prospects care about is what they believe they will get, achieve, relieve, dodge, or acquire based on buying what you sell, and they’ll go with the business that promised them that.⠀


At this point, you can play around with the creativity in ChatGPT and ask it for some various marketing messages: core, positioning, tagline, summary, headline, title, etc.  Again, by going through the reviews, you're simply developing messages in the voice of your customer. 99% of marketing is figuring out what your ideal customer already says and then saying it better.


Marketing Strategy Prompt: Provide X (type or #) marketing message from the sentiment (summary, report, list, etc.) above.


Customer Journey Mapping Insights

Mapping out the evolving relationship your prospects have with your business in a way that makes sense to service, sales and marketing is a powerful tool. Most marketers view the customer experience as the traditional funnel, with stages such as Awareness, Consideration and Purchase, but I prefer to execute a much more modern and effective approach in today’s “customer-centered” times: Awareness, Education, Sample, Purchase and Refer.


The customer journey is the sum of all experiences a customer has when interacting with your business and your marketing tactics need to be involved at every step along the way. 


Marketing Strategy Prompt: Using this customer journey framework Awareness, Education, Sample, Purchase and Refer from https://www.indispensablemarketing.com/mapping-the-customer-journey-small-businesses develop a map of tactics for X company


Content Marketing Insight

In creating a marketing strategy for your small business you must think strategically about content. Customers don’t need a description of your solutions or service initially. Sure, once their experience with your small business deepens and they begin considering their purchasing options, they’ll want to know the details. But for now, they want to see how they can trust and build a relationship with your company.


This leads me into another point: treat content as a branding tactic, not a marketing tactic. Content is how to get people to know, like, and trust your brand. Marketing your small business with content is how the modern buyer comes to know, like, and trust you. In other words, it’s the new branding.


Marketing Strategy Prompt:

  • List [number] ideas for blog posts about [topic].
  • Create a 3-month X campaign calendar for our service with the goal to [insert goal] and mention the channels we should focus on.
  • List common challenges faced by [buyer persona description].
  • Write marketing copy to make my marketing emails more engaging. The copy must be about our [product, service, or company].
  • Write an email subject line convincing potential customers to switch our service.


We invite you to try out the AI prompts mentioned above for developing marketing strategy. We understand that there are many prompts out there that may seem random and one-off, but our prompts are different. They are tailored towards achieving specific results and can be a useful tool in developing effective marketing strategies. We believe that the prompts can offer valuable insights into our approach to marketing strategy, and we would love to work with you if your business needs any assistance in this area.


Contact Your Marketing Consultant at Indispensable Marketing

If you’re a service based business that needs help with creating a marketing strategy or your company’s online presence on Google and other search engines, at Indispensable Marketing we can help. We offer marketing strategy consulting, marketing audits, monthly marketing packages, consultations, exploratory calls or monthly local SEO services. Contact us for more information.

The Missing Layer in AI: Why Judgment, Not Just Data, Will Define the Next Era of Intelligence

By Patrick McFadden • May 2, 2025
Everyone is scaling outputs. Almost no one is scaling judgment.

Everyone Talks About AI Judgment. We Built It.

By Patrick McFadden • May 2, 2025
Ask anyone in tech where AI is headed, and they’ll tell you: “The next leap is reasoning.” “AI needs judgment.” “We need assistants that think, not just answer.” They’re right. But while everyone’s talking about it, almost no one is actually shipping it. So we did. We built Thinking OS™ —a system that doesn’t just help AI answer questions… It helps AI think like a strategist. It helps AI decide like an operator. It helps teams and platforms scale judgment, n ot just generate output. The Theory Isn’t New. The Implementation Is. The idea of layering strategic thinking and judgment into AI isn’t new in theory. The problem is, no one’s been able to implement it effectively at scale. Let’s look at the current landscape. 1. Big Tech Has the Muscle—But Not the Mind OpenAI / ChatGPT ✅ Strength: Best-in-class language generation ❌ Limitation: No built-in judgment or reasoning. You must provide the structure. Otherwise, it follows instructions, not strategy. Google DeepMind / Gemini ✅ Known for advanced decision-making (e.g., AlphaGo) ❌ But only in structured environments like games—not messy, real-world business scenarios. Anthropic (Claude), Meta (LLaMA), Microsoft Copilot ✅ Great at answering questions and following commands ❌ But they’re assistants, not advisors. They won’t reprioritize. They won’t challenge your assumptions. They don’t ask: “Is this the right move?” These tools are powerful—but they don’t think for outcomes the way a strategist or operator would. 2. Who’s Actually Building the Thinking Layer™? This is where it gets interesting—and thin. Startups and Indie Builders Some small teams are quietly: Creating custom GPTs that mimic how experts reason Layering in business context, priorities, and tradeoffs Embedding decision logic so AI can guide, not just execute But these efforts are: Highly manual Difficult to scale Fragmented and experimental Enterprise Experiments A few companies (Salesforce, HubSpot, and others) are exploring more “judgment-aware” AI copilots. These systems can: Flag inconsistencies Recommend next actions Occasionally surface priorities based on internal logic But most of it is still: In early R&D Custom-coded Unproven beyond narrow use cases That’s Why Thinking OS™ Is Different Instead of waiting for a lab to crack it, we built a modular thinking system that installs like infrastructure. Thinking OS™: Captures how real experts reason Embeds judgment into layers AI can use Deploys into tools like ChatGPT or enterprise systems Helps teams think together, consistently, at scale It’s not another assistant. It’s the missing layer that turns outputs into outcomes. So… Is This a New Innovation? Yes—in practice. Everyone says AI needs judgment. But judgment isn’t an idea. It’s a system. It requires: Persistent memory Contextual awareness Tradeoff evaluation Value-based decisions Strategy that evolves with goals Thinking OS™ delivers that. And unlike the R&D experiments in Big Tech, it’s built for: Operators Consultants Platform founders Growth-stage teams that need to scale decision quality, not just content creation If Someone Told You They’ve Built a Thinking + Judgment Layer™… They’ve built something only a handful of people in the world are even attempting. Because this isn’t just AI that speaks fluently. It’s AI that reasons, reflects , and chooses. And in a world that’s drowning in tools, judgment becomes the differentiator. That’s the OS We Built Thinking OS™ is not a prompt pack. It’s not a dashboard. It’s not a glorified chatbot. It’s a decision architecture you can license, embed, or deploy— To help your team, your platform, or your clients think better at scale. We’ve moved past content. We’re building cognition. Let’s talk.

We Found the Missing Layer AI Has Been Waiting For

By Patrick McFadden • May 2, 2025
In every era of innovation, there’s a silent bottleneck—something obvious in hindsight, but elusive until the moment it clicks. In today’s AI-driven world, that bottleneck is clear: AI has speed. It has scale. But it doesn’t have judgment . It doesn’t really think . What’s Actually Missing From AI? When experts talk about the “thinking and judgment layer” as the next leap for AI, they’re calling out a hard truth: Modern AI systems are powerful pattern machines. But they’re missing the human layer—the one that reasons, weighs tradeoffs, and makes strategic decisions in context. Let’s break that down: 1. The Thinking Layer = Reasoning with Purpose This layer doesn’t just process inputs— it structures logic. It’s the ability to: Ask the right questions before acting Break down complexity into solvable parts Adjust direction mid-course when reality changes Think beyond “what was asked” to uncover “what really matters” Today’s AI responds. But it rarely reflects. Unless told exactly what to do, it won’t work through problems the way a strategist or operator would. 2. The Judgment Layer = Decision-Making in the Gray Judgment is the ability to: Prioritize what matters most Choose between imperfect options Make decisions when there’s no clear answer Apply values, experience, and vision—not just data It’s why a founder might not pursue a lucrative deal. Why a marketer might ignore the click-through rate. Why a strategist knows when the timing isn’t right. AI doesn’t do this well. Not yet. Because judgment requires more than data—it requires discernment . Why This Is the Bottleneck Holding Back AI AI can write. It can summarize. It can automate. But it still can’t: Diagnose the real problem behind the question Evaluate tradeoffs like a founder or operator would Recommend a path based on context, constraints, and conviction AI today is still reactive. It follows instructions. But it doesn’t lead. It doesn’t guide. It doesn’t own the outcome. And for those building serious systems—whether you’re running a company, launching a platform, or leading a team—this is the wall you eventually hit. That’s Why We Built Thinking OS™ We stopped waiting for AI to learn judgment on its own. Instead, we created a system that embeds it—by design. Thinking OS™ is an installable decision layer that captures how top founders, strategists, and operators think… …and makes that thinking repeatable , scalable , and usable inside teams, tools, and platforms. It’s not a framework. It’s not a chatbot. It’s not another playbook. It’s the layer that knows how to: Think through complex decisions Apply judgment when rules don’t help Guide others —human or AI—toward strategic outcomes This Is the Missing Infrastructure Thinking OS™ isn’t just about better answers. It’s about better thinking—made operational. And that’s what’s been missing in AI, consulting, leadership development, and platform design. If you’re trying to scale expertise, install judgment, or move from tactical to strategic… You don’t need a faster AI. You need a thinking layer that knows what to do—and why. We built it. Let’s talk.
More Posts