4 Types of Content That Every Business Must Create

Patrick McFadden • January 20, 2015

Selling and marketing with educational content (via a blog, webinar, seminar, newsletter, magazine, workshop, report, eBook, tip sheet etc.) is not about convincing someone to buy something that they don’t want or need. Rather, it’s about overcoming objections to buying from you.

Effective marketing now requires that educational content is part of the strategy conversation in almost every business. ( Get more insight in this free eBook: 7 Components of a Successful Marketing Plan )

The word content itself has a lot of hoopla around it today making it difficult for many organizations to view it with the granularity needed and discover the role it plays in the customer life cycle.

On a strategic level, content must mean more than a blog post, status update or tweet. You must think about your content achieving a strategic business goal or objective. Building an asset to serve your organization over time.

You must also think in terms of your content as a marketing tool that moves suspects to prospects, prospects to customers, customers to advocates and in this effort there are at least four types of content that you must address.

Here are some ideas to get you started:

Suspect Content – Everyone in your target market

When your entire target market is not aware of your company, product, service or the benefit it offers, then the first objective of content is to simply build trust.

Trust can be built through:

  • Blogs
  • Customer Reviews
  • Articles

At the heart of every transaction is TRUST and in general, trust is what’s in short supply. If more people trust you, everything else will fall into place.

There’s a really big gap between someone being aware of you (which is really hard) and someone trusting you, enough to invest in you or buy from you.

Prospect Content – Anyone who has taken action to solve a problem that you can assist them with

There’s an huge difference between awareness and action. Putting something in the world for awareness is useless if it doesn’t lead to taking action.

As the market begins to trust you and competitors enter that market. Prospects will seek a differentiation….your unique approach, your solution, your message and your organization.

At this stage you need to you need to educate about that differentiation:

  • Special Reports
  • Marketing Kit
  • Seminar

People want to be educated not sold. They will sell themselves if you just stick to educating.

Customer Content – A person or organization that has bought products or services from you

You’ve done all this work attracting and educating now show your customers how to get the most out of what they just bought. This builds loyalty and community.

  • How-to information
  • New Customer Kit
  • Q&A Sessions

This is were most organizations stop their marketing but you should continue it if you want repeat sales.

Advocate Content – A person or organization that tells others and basically sells for you

This last stage of the customer lifecycle is one that gets overlooked in view of content. Ultimately, great content has the ability to help your advocates spread the word and increase awareness, generate leads and convert prospects .

  • Referral coupons
  • Access to “behind the scenes” content
  • Customer appreciation events

Think about this

Here’s the deal. This closely resembles the customer life cycle for every market. It begins in stage one and closes in stage four As you can see this presents some challenges for business owners and organizations, namely, they must adapt or perish.

You may enter a new market and clean house, only to fall behind when competitors enter and steal market share. The business of successful marketing and selling is about constant improvement. Constant change.

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.
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