Turn Your Business Blog Into Your Best Salesperson
Patrick McFadden • September 23, 2013
The problem that every business faces is that technology moves fast. With more technology, customers and prospects grow in technical savyiness, and buying and selling takes a new course. As you continue to strive for those indispensable relationships that motivate prospects and customers to take action and/or buy your business blog could be your best salesperson.
Business blogs are great because if you have a lean department with leaner budgets, using your blog as the core pillar of your online marketing strategy is a relatively simple, low-cost content activity that can have significant SEO and lead-generation benefits if done right.
If you’re seeking to turn your business blog into a sharp, component and relevant salesperson, you must provide 4 key components:
- the right content
- in the right format
- in the right place
- at the right time.
For many business owners and their employees, this can be a pretty big order. A business blogs strategic purpose is to build the brand (attract prospects), support sales (increase sales) and expand reach (support customers.) The challenge for many businesses is that they haven’t done the necessary planning to make this happen.
Here’s how to do the necessary planning that will turn your business blog into your best salesperson :
- “If you aim at nothing, you will hit it every time.”― Zig Ziglar You should already have a marketing plan ( click here if not ) that has specific goals that need to be addressed. Set business blogging goals that are defined and aimed to speak directly to those.
- Start poking and gathering. Understand your customers including the economics, influencers, buyers, competition dynamics, customers demand and market changes. Gather information from your customers and also from employees who interact with the outside world. Also, set-up a listening post on Hootsuite so you can monitor what’s being said on social media channels. That conversation is happening whether you like it or not.
- Fill different needs during the sales process. Develop the information potential customers actively poke for when they’re in purchase mode. As a small to midsize business, this means that the information must be marketing communication that doesn’t look, sound or feel promotional in any way. Focus your efforts on these four types of content: Rating and Reviews, Educational, Question Answering, Product or Service Information.
- Know the rule of traction. According to Hubspot findings, you need to post 2-3 times a week to get the same level of traction as blogging multiple times a week. Additionally, you need a minimum of 50 blog posts before your blog gains traction.
- “Be the best answer.” Start understanding and answering your prospects and customers questions on their path from awareness to purchase to advocacy. Your blog must contain the best answer in the world on your products or services and industry. This answer could meet customer needs in the form of photographs, short videos, instructions and recipes or patterns.
- Develop a distribution strategy. Hitting publish doesn’t cause the prospects and customers you seek to come to your front door. You must aid content awareness and visibility. Content is fire, and distribution is gasoline. Focus on posting your content in relevant LinkedIn groups, Facebook groups and Google+ communities.
- Include tailored calls-to-action. This can help get some traction with monitoring your results. Even if it’s just a call to comment or connect on LinkedIn, blog posts should end with something that moves readers to a next step. Do not, however, ask people to buy something at the end of a post. Hard sells in blog posts will lose your readers’ trust. Incorporate a call-to-action where appropriate. Don’t just assume that customers will know what you want them to do. Tell them!
The key to small to midsize businesses making their blog into their best salesperson is to leverage its power as a SEO, social media and content marketing tool to create and distribute the information customers actively seek without the sales jargon.
Question: What do you think? What step would you add to help create a better salesperson?
Everyone is scaling outputs. Almost no one is scaling judgment.
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.
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.
