Top 7 Ways to Generate B2B Leads from Your Blog
Patrick McFadden • January 27, 2014
When it comes to the best way (or ways) to generate sales leads, or find new customers, there is a lot of buzz surrounding blogging. Truth be told, the hardest part about generating sales leads is getting people to contact you in the first place, whether offline or online.
If you’re a marketer or business owner that blogs, you may know a variety of ways to distribute and promote your articles. Obviously, the more traffic you get, the easier it will be to generate leads. But you don’t need a ton of traffic to make it work.
This is the difference between how many and who. Old marketing was about how many. New marketing is about who. If five, ten, or twenty people are coming to your blog, but they are the right five, ten or twenty people with large amounts of buying power, that’s what matters.
So don’t worry about becoming a top-ranked blog. To successfully sell your services, you just need the right kind of people. The more specialized you are, and the more targeted your articles, the more likely this will happen.
Of course, attracting people to your blog is one thing. Generating leads is another. Here are top seven ways to generate B2B leads from your blog:
- Contact Form — If you’re in business and have a blog, you almost certainly must have a contact form. And that “almost” is close to absolute. However, the standard contact form is not enough. You should modify your form to match the service you sell. Take a look at the highly specialized form we use.
- Email Newsletter — This is an easy way to stay in touch with many people and provide great value while you’re at it. Since we specialize in strategic marketing, our newsletter features articles and information on the subject. We have over 500 subscribers and a percentage of our new clients say they became pre-sold on our abilities by subscribing.
- Free Education — While a newsletter requires an ongoing commitment, a eBook or special report is a one-time effort. Write it, post a contact/request form, and send a link to the PDF when requests come in. You could also automate the process with an auto responder. Our eBooks on strategically marketing your business generates requests every month.
- Marketing Kit — If you’ve built a blog or site around your services, you should provide plenty of information online. However, you can offer pricing, forms, a client list, and other information in the form of a downloadable PDF. Remember, when someone requests information, it gives you the opportunity to capture contact information.
- Webinars or Teleseminars — These days it’s fairly simple to put together an educational class using services such as GoToWebinar or Freeconferencing. You can also create non-interactive presentations with software like PowerPoint or OpenOffice. The idea is to provide something of value that enables you to collect contact information.
- Videos — Using software and hardware built into many computers, you can create simple, informative videos. They don’t have to be fancy. Just look into the camera and talk. Or edit together simple footage demonstrating your work or how you solved a problem. Video can also be a helpful tool to encourage people to sign up for your newsletter, webinar, or other information.
- Pay Per Click — If you write and promote a good blog, you’re probably getting a fair amount of natural traffic. But pay-per-click ads can give you a boost for people looking for your particular services. Your results will vary depending on the level of competition and amount you’re willing to spend, but it’s worth a test.
Take Note: Your blog is a means to an end. If you use your blog to attract the right kind of traffic, and follow the advice above to generate sales leads, you should see a dramatic increase in your business.
Questions: What questions do you have about generating leads? What else would you recommend?
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.
