What if you didn't need to build an app... Or grow a massive audience... Or spend six months creating the “perfect” AI product? If I were starting from zero today, I'd do something much simpler. Find an expensive problem. Pick a specific market. Create a productized offer. Sell it manually. Get proof. Then scale what already works. That's the play. In this video, I break down the framework I'd use to build toward $100K/month—including the math, the offer, the sales process, and when I'd actually bring AI into the business. Inside the breakdown: - Why $100K/month is really a math problem - How to choose a problem businesses will actually pay to solve - Why you should sell the outcome, not the technology - How to build a productized service instead of creating yourself a job - How to think about $1K, $2.5K, and $5K+ monthly pricing - How I'd get the first 5–10 customers without relying on ads - Why proof matters more than scale when you're starting from zero - How sales conversations become your best source of customer insight - When to automate with AI—and when not to - The progression from $0 → $10K → $30K → $50K → $100K/month The core principle is simple: Sell first. Then build what people are already paying for. I'm attaching: - The presentation PDF for the video - The playbook to help you work through the framework and actually build toward the goal Watch the video first. Then use the PDF and playbook to map out your own path instead of trying to build everything at once. After you watch: 👉 Comment on the YouTube video with your biggest takeaway 👉 Subscribe to the channel for more practical business, AI, and growth strategies You don't need a million-dollar idea. You need a painful problem, a valuable outcome, and enough customers who will pay for it. That's how $100K/month starts.

If you feel behind in AI, you're probably not actually behind. You're just trying to learn too much at once. There's a new AI tool, model, agent, automation platform, or prompting technique every week. Try to learn all of it... And you'll spend months jumping from tool to tool without actually getting better at using AI. That's the trap. In this video, I break down the AI learning roadmap I wish I had when I started—what to learn, what to ignore, and the order I'd recommend learning it in 2026. The goal isn't to master every new AI tool. It's to build skills that transfer from one tool to the next. The 5 skills: 1️⃣ AI Fundamentals 2️⃣ Communicating With AI 3️⃣ AI Research & Reasoning 4️⃣ AI Automation 5️⃣ AI Systems & Agents You'll also learn: - Why you feel behind in AI - The biggest mistake people make when learning AI - How to communicate with AI without memorizing "secret prompts" - How to use AI for research, analysis, and better decisions - How to identify workflows that can be automated - The progression from prompts → workflows → automation → systems → agents - Why building real projects is the step most people skip Because here's what actually matters: Don't learn AI for the sake of learning AI. Learn how to use it to solve real problems. I'm attaching: - The presentation PDF for clarity - The AI Learning Playbook with the roadmap, practical exercises, and project-based action steps Watch the video first. Then use the PDF and playbook to pick a skill, work through the exercises, and build something real. After you watch: 👉 Comment on the YouTube video with your biggest takeaway 👉 Subscribe to the channel for more practical AI and business strategies Stop chasing every new tool. Build skills that survive the next one.

You don't need to build an AI product. You don't need to know how to code. And you definitely don't need to become an AI expert. You need to understand the problem businesses are already willing to pay you to solve. In this video, Jeff Herschy breaks down exactly how he'd package an existing AI platform into a $1,000 local business service—using Reviewly.ai as the example. The key? Don't sell AI. Don't sell software. Sell the problem you're solving. The offer is a Local Reputation Growth System designed to help businesses consistently generate and manage Google reviews using SMS, digital links, QR codes, NFC tools, AI-assisted responses, monitoring, and reporting. Inside the breakdown: - How to sell AI-powered services without building AI software - Why the service—not the software—is the actual product - Which local businesses make the best prospects - How to structure the $1,000 offer - What to include in the offer - How to find businesses with an obvious reputation gap - How to create a simple prospect audit - What to say when approaching your first client - How to onboard and fulfill the service without reinventing the process every time - How to turn your first $1,000 project into a repeatable service business The technology is the infrastructure. Your strategy, implementation, and management are the service. I’m attaching: - The presentation PDF for the video - The $1,000 Reviewly Client Playbook to help you pick a niche, audit prospects, structure the offer, approach businesses, and deliver the service Watch the video first. Then use the playbook to actually go find a business and make the offer. After you watch: 👉 Comment on the YouTube video with your biggest takeaway 👉 Subscribe to the channel for more practical AI business and agency strategies You don't need to build the technology. You need to know how to package it into something businesses want to buy.

The way people discover businesses is changing. Instead of searching Google and comparing 10 different websites, more customers are asking AI: “Who’s the best company for this?” “Tell me about this business.” “Which business should I choose?” And that creates a very different game. Because when AI looks up your business, the question isn't simply whether it can find you. It’s: Can AI understand you? Can AI trust you? Would AI recommend you? In this video, Jeff Herschy breaks down the 5 signals that influence how AI understands and recommends a business: 1️⃣ Website — Is your business easy for AI to understand? 2️⃣ Reputation — What are customers saying about you? 3️⃣ Consistency — Does your business tell the same story everywhere? 4️⃣ Authority — Are you demonstrating real expertise? 5️⃣ Clarity — Does everything come together and give AI confidence? And there’s an important shift here: Reviews aren't just social proof anymore. They're becoming part of the trust and visibility signals that can influence how AI understands your business. The goal isn't to “hack” ChatGPT. It’s to build a stronger digital reputation that makes your business easier for AI to understand, trust, and recommend. I’m attaching: - The presentation PDF from the video - The AI Reputation Playbook with the framework and checklist you can use to evaluate how AI sees your business Watch the video first. Then use the playbook to see where your business stands—and where the gaps are. After you watch: 👉 Comment on the YouTube video with your biggest takeaway 👉 Subscribe to the channel for more practical AI, visibility, and business growth strategies The future isn't just about being found. It’s about being recommended.

Everyone is talking about GEO. AEO. AI SEO. Ranking in ChatGPT. But there’s a problem. Most businesses are trying to optimize for AI search before their website is even ready to be understood by AI. That’s backwards. In this video, Jeff Herschy breaks down the 5 biggest reasons AI isn't recommending most businesses—and what you should fix before worrying about advanced AI optimization. A recent audit of 50+ B2B websites found that 91% weren't meaningfully optimized for answer engines beyond basic indexing. And the problem isn't necessarily AI. It’s the foundation underneath it. Inside the breakdown: - Why you're creating content nobody is actually searching for - How to structure your website so AI can clearly understand your business - Why internal linking matters for both humans and AI - The trust signals AI looks for beyond your website - Why chasing GEO and AI SEO too early can be a mistake - What you should fix before trying to optimize for AI search The better question isn't: "How do I rank in ChatGPT?" It's: "Can ChatGPT confidently understand my business?" I'm attaching: - The presentation PDF for clarity - The AI Website Readiness Playbook with the checklist used to evaluate whether a business is actually ready for AI search Watch the video first. Then use the playbook to audit your foundation before chasing the next shiny AI optimization tactic. After you watch: 👉 Comment on the YouTube video with your biggest takeaway 👉 Subscribe to the channel for more practical AI, SEO, and business growth strategies Don't optimize for AI until you've made it easy for AI to understand you. Foundation first. Then visibility.