The ROI Online Podcast

AI agents aren't just answering questions anymore. They're actively shopping, comparing, and filtering options on our behalf, and they're doing it before we ever see a list of links. We kick things off with a simple problem I had: I needed a new refrigerator, but the real constraint wasn't features, it was size. By snapping a photo and handing the task to an AI tool, I got a fast, organized shortlist without measuring, clicking, or driving store to store.That same “agentic search” behavior is already reshaping how people discover businesses. If a billion AI agent searches are happening each month, your next customer may never read five pages of your site, their agent will. And if that agent can't instantly tell what you do, who you help, and why you're credible, you can get skipped before a human ever shows up. We talk through what agents look at first: your website, Google Business Profile, social proof, reviews, and whether your information feels current and trustworthy.We also share a practical way to prepare using NotebookLM, treating your business like a refrigerator that needs to be stocked with fresh, clear, specific ingredients. Dump in your messy notes, reviews, and core materials, then shape them into content that sounds like you, not generic AI slop. If you want to be the option agents recommend, start by making your offer easy to understand and impossible to confuse. Subscribe, share this with a business owner who needs it, and leave a review with the one place your “business fridge” needs cleaning first.Support the show

Your next proposal might not be losing because your offer is weak, it might be losing because your message is hard to process. When a busy leader says, “Send me an email,” they are not asking for more words. They are asking for a fast decision tool that tells them whether you are worth a meeting.We break down a simple but powerful tactic: use an infographic as a modern “cave painting” to communicate value in seconds. One image can carry context, complexity, and a clear path forward without forcing your prospect to fight through paragraphs. Even more important, the right visual creates a feeling. When someone says “I feel like you get what we're trying to do,” that emotion becomes instant rapport, safety, and momentum toward a call.Then we go beyond the first meeting. The real test is what happens after you hang up, when your contact has to explain the plan to their leadership team. We share how to use NotebookLM by feeding it your call transcript and email thread, prompting it to clearly outline the path forward, and generating slide style visuals that support a crisp follow up. You'll hear a concrete example of a weekly live show workflow, roles across teams, and how a repurposing engine can turn transcripts into blogs, social posts, threads, newsletters, and short clips.If you want higher reply rates, cleaner follow ups, and fewer fumbled high stakes conversations, listen now. Subscribe, share this with a teammate who writes long emails, and leave a review with the one message you wish every prospect understood in one glance.Support the show

Someone asks, “Can you explain this real quick?” and suddenly you are translating a messy, technical concept in real time. We built a repeatable way to make that moment easy. The trick is not dumping more information. It is sequencing the information so the brain accepts it, starting with visuals that follow a story and only later moving into details.We walk through our Tiptoe Framework for explaining complex topics: start with a single infographic that shows the whole idea at a glance, move into a slide deck that connects the dots step by step, then finish with a written leave-behind for anyone who wants the deep dive. Along the way, we show why “don't start the meeting with the handout” is more than a slogan. It is a practical rule for leadership communication, training, and marketing because people remember pictures and narrative tension far better than paragraphs of jargon.To make it concrete, we use stablecoins as the demo topic and build the explainer inside NotebookLM. You will hear a plain-English breakdown of what stablecoins are, what “stable” really means, how reserve backing supports a one-to-one value with the US dollar, and why that matters for digital payments, cross-border transfers, and everyday spending. We also share a simple, high-leverage prompt that generates a graphic novel style explainer in steps, turning confusing “noise” into structured “music” your audience can follow.If you are a leader, founder, educator, or marketer who needs clearer explanations and faster content creation, this is a practical playbook you can reuse weekly. Subscribe, share this with someone who always gets the hard questions, and leave a review. What topic do you want us to tiptoe into next?Support the show

I didn't expect a surf trip on the coast of El Salvador to turn into one of the clearest business lessons I've seen all year, but that's exactly what happened. I'm down here for an AI conference, I extend my stay, and I end up watching a surf instructor teach with total presence. The instructor is also the owner, Alex Naboa, and seeing him operate in his element makes me ask the question that hits every founder sooner or later: did I design my work around where I actually shine?Alex's project is called Surfing Your Fears, and the name isn't a gimmick. He's lived the reality behind it through years of building a life during uncertainty, serving his community, and pushing through fear when it wasn't optional. We talk about how the ocean mirrors your life, why reactions in the water look a lot like reactions in business and family, and how community becomes part of the “lineup” you earn your place in. His story stretches from scraping by with simple jobs to creating programs like free English schools, water projects, and surf therapy that helps people process trauma.Then I switch gears and demonstrate a practical AI workflow: how I take our messy, rambling interview and use NotebookLM as a grounded content engine. I walk through the Sources approach, why “gold in, gold out” actually matters for accuracy, and the kinds of assets you can generate fast: an infographic story arc, graphic-novel style quote boards, slide-style deep dives, reports, and even a founder profile article ready for a website or magazine. If you want a repeatable system for AI content repurposing, podcast marketing assets, and high-stakes communication prep, you'll get it here.Subscribe, share this with a friend who needs a smarter content workflow, and leave a review with the best asset you'd generate first.Support the show

You can love a website's look and feel and still have no idea how to recreate it without losing your voice. We start with that exact problem, then pull the camera back to the real issue: most business communication breaks because it ignores story. Once you see every slide, web page, proposal, and email as a hero's journey, you stop dumping information and start guiding people through uncertainty toward a clear future state.We walk through the classic arc (status quo, rising action, free fall, determination, return) and why it shows up in everyday life and high-stakes leadership decisions. Prospects aren't just comparing options; they're managing risk, protecting their reputation, and looking for a plan they can defend internally. When you bake the rules of story into your value proposition and visual communication, the message “clicks” because it matches how the brain already organizes meaning and emotion.Then we get practical with Google NotebookLM (Notebook LM). We show how to build a source-grounded knowledge base, why “gold in, gold out” matters, and how a master prompt can carry your brand style guide, colors, and tone across everything you generate. You'll hear the iterative process in real time: first outputs that miss the mark, tighter prompts and better sources, and revisions that turn technical labels into human language that communicates feeling. The payoff is a repeatable workflow for creating on-brand slide decks, web page sections, and supporting visuals that make your story easier to understand and harder to forget.If you want clearer messaging, stronger storytelling, and visuals that support your narrative instead of fighting it, subscribe, share the episode with a teammate, and leave a review. What are you trying to create right now: a deck, a proposal, or a web page?Support the show

If you're the one who always has to “come in and do the close,” that's not leadership leverage, it's a trap. We dig into the real reason it happens: the clarity, language, and strategy that make your solution sell are locked in your head, so your team fills the gap with jargon and guesswork. That confusion shows up in proposals, presentations, and sales calls, and it quietly costs you time, trust, and revenue.We walk through a practical NotebookLM workflow designed for founders, CEOs, and small business leaders who need their team to communicate like they do without constant approvals. The core is a three-part system: a secure vault for your proprietary method, consistent outputs that match your brand voice, and story structure that makes buyers care. We connect the dots to StoryBrand and the hero's journey so your customer stays the hero and you show up as the guide with a clear plan.To make it real, we demo a Route 66 Plumbing example: generate a brand style guide from your website using Palmelli, clean it up with Gemini, paste it into NotebookLM custom instructions, then feed in Google Business Profile reviews to capture the customer's words. You'll hear what changes in the “before vs after” outputs, how to revise weak lines fast, and how this approach helps your business scale without you being the bottleneck. Subscribe, share this with a leader who's stuck doing every close, and leave a review with the one part of your messaging you want to systematize next.Support the show

Your business might be stuck for a simple reason: you're the one carrying the best thinking. The sharpest sales lines, the clearest explanations, the little “aha” moments that move people all happen in real conversations and then vanish when the call ends. That makes you the human hard drive and the ultimate bottleneck. I want to change that by showing a practical way to “export your brain” so your company can scale without needing more of your time. I break down how I use Google NotebookLM to turn everyday transcripts from Zoom calls, sales conversations, trainings, and coaching sessions into structured business assets. We talk about the curse of knowledge and why experts accidentally lose people with jargon, acronyms, and assumptions. Then I walk through how NotebookLM distills a long, messy conversation into clear visuals and documents that actually land: infographics, slide decks, briefing docs, study guides, mind maps, flashcards, quizzes, and even framework-style reports you can reuse in marketing and onboarding. A key advantage is source grounding. Instead of pulling in random outside information, NotebookLM can be constrained to the exact transcripts and files you provide, keeping the output true to your real voice and your real expertise. The end goal is simple: capture your subject matter expertise once, repurpose it into training and marketing content, and build a library your team can run with while you're off the clock. If this helps you, subscribe, share it with a friend, and leave a review so more founders can stop being the bottleneck and start building reusable assets.Support the show

AI doesn't “make things up” because it's evil. It makes things up because we keep asking it to perform miracles without giving it our real context. We dig into why the most valuable lever in artificial intelligence is your knowledge base and how that single shift changes everything from accuracy to speed to brand voice.We compare the strengths people associate with today's big AI chatbots: ChatGPT for planning and writing, Claude for coding, Grok for real time awareness, and Gemini as Google's fast improving assistant. Then we zoom in on the move that matters for anyone running a business or team: Google Gemini being baked into Google Workspace. When your emails, docs, meeting notes, calendars, SOPs, and assets already live in Gmail, Drive, Docs, and Slides, your “source of truth” is sitting right there.NotebookLM is the clearest example of this approach. You can upload the exact sources you trust, ask questions against them, and get answers with citations so you can verify in seconds. We share a simple five part framework for building a powerful AI library: your core thinking, your customer language, your proven content, your process documents, and outside trusted sources you approve. If you want better AI outputs, start treating your documents like an asset.Subscribe, share this with a teammate who owns marketing or ops, and leave a review with the biggest challenge you have building a clean knowledge base.Support the show

A flawless packet and a clean slide deck still weren't enough to win $100,000, and that sting leads to a bigger lesson about how groups actually decide. When six people with different biases sit in judgment, logic alone rarely creates agreement. What moves the room is alignment: they understand it fast, they feel why it matters, and they arrive at the same “oh, I see” moment together. That's the hidden work behind successful grant pitches, sales presentations, board presentations, and any high-stakes group conversation. We dig into a simple framework for stakeholder buy-in: cognitive clarity, emotional engagement, and a shared aha experience. Then we take a surprising detour through the Hebrew alphabet and its pictogram roots to show why the brain craves visuals and why a picture can carry meaning instantly across age, language, and expertise. If your message is trapped in dense text, the audience's attention slips because their brain is trying to conserve energy and avoid risk. From there, we jump into NotebookLM as a practical AI communication tool you can use right now. We talk about grounding outputs in your own data sources, why source quality determines outcome, and how citations create trust. Most importantly, we show how to turn messy information into visual storytelling assets like infographics, slide support, audio overviews, and quick video explainers you can send after a meeting to reinforce retention and keep the group aligned. If you want an unfair advantage in executive communication, hit play, then subscribe, share with a teammate, and leave a review with your biggest presentation challenge.Support the show

You can have the best numbers, the cleanest slides, and a rock-solid plan and still walk away with a painful “no.” That gap is what we dig into here: why high-stakes communication breaks down when you rely on logic alone, and what to do when you need people to actually lean in, care, and act.We start with a real story of losing a $100,000 opportunity despite weeks of preparation, then pull apart the root cause: the clarity trap. Clear information organizes the mind, but emotional resonance moves behavior and strengthens memory. We talk through how to surface hidden stakes, show a vivid before-and-after, and create a learning moment that unifies a group of decision makers who all walk in with different priorities. If you lead a team, run a nonprofit, sell services, or pitch for grants, this framework helps you build buy-in without begging for it.Then we get practical with Google NotebookLM as a free AI presentation tool. I explain how to load your PDFs, notes, contracts, websites, and videos into a single source of truth, and how to turn that material into assets that make you look confident and polished fast: slide decks, infographics, quizzes, reports, mind maps, and even audio overviews. The point is not more content. The point is a story arc that lands.Subscribe, share this with a leader who presents under pressure, and leave a review if it helped. What's one presentation you wish you could redo with this approach?Support the show

Most leadership communication fails in a painfully familiar way: you explain the plan, everyone nods, and then nothing changes. The problem usually isn't intelligence or logic. It's memory and motivation. If people don't feel the message, it won't stick, and you'll find yourself repeating the same “clear” idea seven different ways while the stakes keep climbing.We walk through a practical persuasion framework built for real-world group decisions, not perfect one-to-one conversations. The goal is to make your vision land through three alignments at the same time: cognitive clarity so the idea is instantly understood, emotional resonance so the brain tags it as important, and social cohesion so the team experiences the insight together. That shared “aha moment” is what creates common ground, reduces stakeholder friction, and turns a scattered room into a unified “we.” Along the way, we connect the dots to emotional encoding, why rational slide decks fade, and why visuals often outlast data when budgets, vendors, or grant outcomes are on the line.We also demo how NotebookLM can help leaders move faster. By importing only the sources you trust into a clean source of truth, you can use AI to distill messy notes, research, and long conversations into clear language, visual storytelling assets, infographics, and even slide structures in minutes. If you're trying to align multiple stakeholders, sharpen your leadership messaging, and become the default answer in your industry as AI search evolves, this is a strong place to start.Subscribe for more practical AI and communication tools, share this with a leader who keeps getting stuck in “explaining mode,” and leave a review with the hardest message you're trying to make stick.Support the show

Your best message can be perfectly written and still bounce off people the first few times they hear it, and it's not because they're stubborn. It's because the brain is built to filter noise, distrust novelty, and cling to what feels familiar and safe. That's where the Rule of Seven comes in, a practical marketing and communication framework that explains why repetition is the real pathway to trust, recall, and action. We connect the science to real business storytelling: if you want prospects to picture an aspirational future with your product, your team to rally around why the company exists, and modern AI search systems to accurately understand what you do, you need consistent stories told many times in many formats. We talk through familiarity and persuasion, why “seven times” often looks more like “seven times seven” today, and how leaders can't rely on winging it when the digital world demands content across Google, social platforms, email, proposals, and internal communication. Then we get hands-on with the solution: building a custom GPT that acts like a trained employee for your messaging. We explain how to set the GPT's role, write clear instructions, and upload a knowledge base with your brand story, services, customer insights, and vocabulary so it can generate aligned content fast. You'll also hear about a free public-facing Story Engine GPT you can use right away, plus how to evolve it into a version that's truly yours. If this helps, subscribe, share the episode with a friend who's overwhelmed by marketing, and leave a review with the one channel where you want your story to land next.Support the show

AI search is already answering questions about your business and it's doing it fast, confidently, and at scale. The problem is that the story it tells may be incomplete or flat-out wrong if you haven't published clear, structured information it can trust. We walk through how to build an authority story that AI search engines can cite, so the next time someone asks a question in ChatGPT, Google's AI results, or another assistant, your brand shows up as a referenced source.We connect this to a simple framework: three stories your AI should help you tell. The customer story paints the aspirational future and the proof that your product or service belongs in it. The team story aligns internal language so proposals, follow-ups, and website content stay consistent and culture-building. Then we focus on the authority story, the algorithm's version of you, and why “being deliberate” matters online just as much as it does inside your company.You'll hear a concrete workflow for content for the AI era: capture a leader brain dump into a knowledge base, turn it into a custom GPT, and use it to produce citation-ready pages. We explain why FAQs are “AI bait,” how to generate the right questions from patterns and real reviews, and how to expand those short answers into deep-dive blog posts with high data density, clear hierarchy, direct language, and machine-readable structure. The payoff is compounding: your team stays on brand while your website becomes the clean source AI systems want to quote.If you want help tightening your message, grab our free Message Makeover Coach at roionline.com/linktree, and if you want to build a custom GPT with us, schedule a strategy session at roionline.com/custom-gpt. Subscribe, share this with a friend who needs stronger authority, and leave a review with the one question you want AI to answer about your business.Support the show

A Bitcoin conference in El Salvador sparked a leadership lesson I didn't expect: the smartest brand moves often look “small” on the surface. When Steak 'n Shake started accepting Bitcoin, it wasn't only about payments. It was a flag in the ground that said, “These are our people,” and it showed how brand identity and customer loyalty grow when your purpose matches a niche audience.From there, we zoom out to the real work most leaders avoid: shaping company culture on purpose. Culture will exist whether you design it or not, and if you leave it to chance, you don't get “neutral” culture, you get whatever habits, attitudes, and politics fill the vacuum. We talk about why some organizations feel effortless to visit and others feel tense, inconsistent, or even hostile, and how that comes down to a deliberate value system that guides decisions when no one's watching.We use the Primal Branding framework to make this practical: creation story, creed, rituals, vocabulary, anti-beliefs, icons, and leader. Then we bring AI into the picture with a simple method for team alignment: capture your answers in a brain dump, turn it into a custom GPT, and use it as a “team story engine” for emails, job posts, announcements, marketing, and internal communication. The goal is consistent messaging, better morale, fewer meetings, and a team that rows toward the same destination.If you want a clearer culture and a clearer message, subscribe, share this with a friend, and leave a review so more leaders can build teams that actually feel aligned.Support the show

Two different leaders emailed me the same kind of win: they took a custom GPT we built, dropped in a brain dump, and asked for visuals. One got an infographic. The other got a trade show presentation. Both came back shocked at how clearly a complex, niche solution could be explained in a single image. That reaction matters, because clarity is not a “nice to have.” It is the difference between a prospect leaning in or tuning out. I dig into why AI storytelling works so well for founders and operators who do not have time for endless slide iterations or a full creative team. We talk about the client story first, because stories cut through information overload and help buyers make decisions when they are already exhausted. When you shift from features and jargon to a narrative that makes the customer the hero, you trigger emotion and memory, which makes your message stick and makes people feel understood. We also hit the curse of knowledge problem and how a shared vocabulary can align sales, service, and everyone who represents your brand. Then we get practical: using AI tools to turn expertise into slide decks, infographics, and simple assets prospects can bring back to stakeholders. That “last mile” support can turn a curious buyer into a confident champion. If you want more episodes like this on custom GPT strategy, AI marketing, product messaging, and storytelling for B2B growth, subscribe, share this with a founder friend, and leave a quick review with the one thing you are struggling to explain right now.Support the show

A single checkbox on Tesla's site can add “Full Self-Driving (Supervised)” to a car, and that small moment carries a big lesson: when technology reliably reduces risk, the real question becomes why we keep doing it the hard way. We start with what self-driving represents, not as hype, but as a system built to spot hazards, make better decisions fast, and cut down on collisions over massive real-world mileage.Then we bring that same thinking into the day-to-day reality of running a small business. Missed calls, slow email replies, forgotten follow-ups, sloppy handoffs, and warm leads that quietly go cold are the operational version of crashes. If your customers are traveling “routes” through your company, you can map those workflows, find the breakdowns, and add supervised AI automation that keeps things moving. We talk about practical use cases like AI phone answering, instant customer responses, scheduling support, lead nurturing, and drafting messages so your team can focus on the work that needs human judgment.We also keep it grounded: don't overhaul everything. Pick one frustrating problem, use a planning GPT to brainstorm the workflow, identify the collision points, and roll out a simple upgrade your team can actually implement. If you want a calmer operation, better customer experience, and fewer dropped balls, this is your starting line. Subscribe, share this with a business owner who's feeling overwhelmed, and leave a review with the one workflow you'd automate first.Support the show

If you've ever tried to explain a technical product and watched someone's attention drift in seconds, you already know the real problem: clarity. I'm Steve ROI Brown, and I'm breaking down a simple way to turn confusing ideas into understanding that lands fast, without dumbing anything down. Between distractions, notifications, and baked-in assumptions, leaders don't get much time to make a point stick, so we have to learn how to compress complexity into meaning.We dig into what “storytelling” actually is right now and why it's not marketing, not brand theater, and definitely not AI slop designed for reactions. The goal is to connect engineering decisions to human insight, the way great founders do when they explain the why behind an innovation. I show how visuals can do heavy lifting by lowering cognitive load: start with an image that signals the idea, move to an infographic path that guides the brain, then earn the right to bring in text and deeper detail.Then I demo the workflow using Google NotebookLM as a free, focused tool for building clarity from your own sources. You'll hear how I pull in documents, posts, PDFs, and transcripts, ask deeper questions to extract the essence, and turn that into practical assets like mind maps, audio overviews, quizzes, infographics, and slide deck outlines that your team can reuse. If you want your sales, product, and leadership teams singing from the same song sheet, this system helps you get there. Subscribe, share this with a leader who explains hard things, and leave a review with the hardest concept you're trying to communicate right now.Support the show

Copying text out of one AI tool and pasting it back into your real work is already starting to feel like the “old way.” I'm Steve Brown, and I walk through why Google Gemini 3 feels like a turning point: it's not just another chatbot, it's AI embedded inside Google Workspace and Chrome so it can help right where you're building, writing, presenting, and deciding. We dig into the practical shift from ChatGPT's first-mover advantage to Gemini's built-in, next-to-your-cursor experience. I show how I can take raw information and generate a more polished visual inside Google Slides, including infographic-style layouts and quick refinements. If you lead a team, you know the real problem isn't having data, it's communicating the meaning. Clear visuals and story-driven structure can unify a room fast, and integrated generative AI makes that easier to produce on demand. Then we get hands-on with AI productivity in Google Sheets, using Gemini to create tables, draft structured data, and iterate without getting bogged down in spreadsheet setup. I also talk about multimodal AI: uploading a photo of handwritten notes and having Gemini organize them into a clean outline. Finally, I demonstrate Gemini in Chrome reading the current tab to coach you through tools you don't use every day, like ClickUp, and even helping you make sense of confusing option menus in complex setups. If you want faster workflows, clearer leadership communication, and fewer interruptions to your team, this is a strong place to start. Subscribe, share this with a friend who's still stuck in copy-and-paste mode, and leave a review with the biggest task you want AI embedded into next.Support the show

The White House quietly opened decades of federal data to AI, and the headlines barely flinched. We did. The move is being framed through the Genesis Mission, and it signals something bigger than “cool new tech”: agentic AI plus massive datasets is about to reset what customers expect from every company, including the smallest local business trying to stay ahead of the next curve. We connect the dots using a Manhattan Project scale analogy, then bring it down to street level with practical AI for small business workflows. If the government can combine data and experts to solve national problems like health, energy, manufacturing, biotech, and safety, we can do our own version with the data already sitting in our tools. We talk through concrete examples: exporting Google Calendar history to find patterns, using customer questions as early market signals, drafting proactive service emails, analyzing invoices to identify your best customers, and creating “big wins for little input” that improve revenue without chasing new leads. We also dig into measurable pattern spotting with QuickBooks and Stripe so we can move from gut feelings to early warning indicators, plus smart hiring tactics that use your top performers as a model for better job descriptions. If you want to future proof your business, get comfortable using LLMs like ChatGPT or Gemini as a thinking partner and start stacking small experiments today. Subscribe, share this with a business owner who needs a head start, and leave a review with the one dataset you want to analyze first.Support the show

The next two years won't reward the businesses that “wait and see.” We're watching the economy tilt toward efficiency, and two forces are doing the tilting: AI automation that boosts profit per employee and modern payment rails that can cut fees, speed settlement, and change who you attract as a customer. We learned the hard way during COVID that fighting to restore the old model can cost years. This time, we want to help you see the shift early and move on purpose. We break down a real world Bitcoin payments story from Steak 'n Shake and why it matters even if you've never used crypto. When credit card processing fees sit around 2% to 3% and many businesses run on 2% margins, lowering payment friction can be the difference between treading water and building real profit. We also talk about Stripe expanding crypto payment options, Cash App enabling Bitcoin payments from a cash balance, and why “payment rails” is becoming a practical strategy topic for small business owners, ecommerce brands, and service companies. Then we zoom out to AI operational leverage, using the Magnificent Seven as a signal: rising margins, automated workflows, and fewer employees needed to produce the same output. To make it actionable, we share a 2026 business planning custom GPT designed to identify your biggest manual time wasters, suggest AI driven workflow fixes, and help you plan on a quarterly iteration cycle instead of an annual one. The link is in the notes, and we close with a challenge: pick one improvement that changes everything. If this helps, subscribe, share it with a friend who's planning for 2026, and leave a review so more builders can find it. What's the first process or fee you want to eliminate?Support the show

Your website can be flawless and still lose the sale. That's the uncomfortable reality when AI search tools like ChatGPT, Perplexity, Gemini, and Google AI Overviews answer questions before anyone clicks a link. We're watching it happen in real time: fewer visits, lower click-through rates, and buyers forming opinions about you without ever landing on your homepage. So we're asking a different question now: what does AI need in order to understand you, trust you, and cite you?We dig into the shift from traditional SEO to generative engine optimization (GEO). SEO has been built around structure: keywords, backlinks, metadata, UX, and technical performance. Those fundamentals still matter, but they're no longer the differentiator. GEO is about signal: clear positioning, a strong point of view, and consistent publishing that AI can parse into direct answers and citations. If AI doesn't know what you mean, it can't recommend you, no matter how pretty the site looks.We also break down a practical system we're using with clients: an executive content flywheel. Weekly interviews with a leader turn into publishable conversations, transcript-driven blog posts, social clips, and a growing knowledge base that powers a custom GPT for proposals, presentations, and sales messaging. Over time, those real insights shape the next website redesign, because the message has finally come into focus through feedback and repetition.If you want your brand to show up in AI answers, not just search results, subscribe, share this with a teammate, and leave a review so more people can find it. What's the first piece of content you could publish this week to make your message clearer?Support the show

Your AI agreeing with everything you say can feel comforting for about five minutes, then it starts getting expensive. When ChatGPT turns into a people pleaser, you lose the one thing you actually want from an AI assistant: clear thinking that challenges you, sharpens your strategy, and helps you make better decisions.We dig into why AI chatbot sycophancy happens, what it looks like in the real world, and why “just make it blunt” is not the same as making it useful. Blunt feedback can still be wrong for your situation if it is not aligned with your intent, your values, and the context you carry as a leader. So we walk through a better approach: personalizing ChatGPT to think through your lens. That includes pulling out what the model already “knows” about you, then turning that into custom instructions that push back gently but firmly, spot leverage points, and translate complexity into clear frameworks.Then we get hands-on with ChatGPT personalization settings, including where to place your prompt, how to choose a working style, and why turning memory on can help the model deliver more relevant answers over time. Finally, we explain when it makes sense to graduate to a custom GPT so your whole organization can benefit from the same aligned strategic partner, without a long onboarding curve.If you want stronger prompt engineering results, better AI feedback, and an assistant that helps you see around the corner, hit subscribe, share this with a friend who is frustrated with “soft” AI answers, and leave a review with the one way you want your AI to challenge you.Support the show

If you've ever felt that weird push-pull about AI, you're not alone. The real risk isn't that ChatGPT makes people lazy, it's that we use it like a vending machine for quick answers and then check out mentally. I want the opposite: AI as a thinking partner that clears the repetitive noise so we can do the work that actually requires leadership, creativity, and judgment.We dig into a practical leadership problem that shows up everywhere: getting what's in your head into your team's heads with real clarity. When people need to hear something “seven times,” it's usually not because they're slow, it's because the message is still foggy or loaded with assumptions. I explain how AI can help you map your ideas, tighten your communication, and build a clear narrative your team can act on, especially in an attention economy where distraction is constant.Then we get hands-on with AI for business process mapping and workflow optimization. I share prompt patterns you can use right away: tell the model what role to assume, outline your current process, ask where you're redundant, and request a streamlined version plus a communication plan for your team. From there, we step into the next level with AI agents and agentic workflows, including a real example of how an AI review can surface issues like brand voice drift and suggest a weekly voice calibration loop. The goal is simple: draft faster, lead clearer, and redesign work in a way people can follow.If you found this useful, subscribe, share the show with someone who leads a team, and leave a review so more people can find it.Support the show

A headline says students who use AI are “thinking less” and that claim sounds obvious until you ask a sharper question: less than what? I dig into why so many classroom metrics reward compliance over curiosity, then explain how that kind of boxed-in learning makes AI look like a threat. If the goal is to produce the “right” answer in the “right” format, delegating the busywork to ChatGPT can resemble disengagement. But that may be a signal that the box itself is the problem, not the tool.We walk through the popular MIT-style study that gets repeated everywhere and talk about what small samples, low-stakes incentives, and boring assignments can do to “neural engagement.” Then we pivot to the research and real-world evidence that gets less attention: human AI collaboration, co-creation, and cognitive synergy. Large language models are great at scanning details, summarizing sources, and surfacing patterns our bias would miss. Humans are great at framing the question, choosing what matters, and imagining new paths forward.I also connect today's AI panic to yesterday's “shortcuts” like calculators, spreadsheets, and search engines. Those tools didn't erase thinking, they freed people to do higher-level work and more powerful “what if” exploration. If you want a practical way to use AI at work, I share how to prompt for overlooked considerations so you can move faster without losing judgment. Subscribe, share this with a friend who's skeptical about AI, and leave a review with your take: is AI making us lazier or more creative?Support the show

If your marketing team keeps missing what you “meant,” you're not dealing with a talent problem, you're dealing with an extraction problem. Most founders and operators have years of hard-won expertise locked in their heads, and when that knowledge doesn't get captured clearly, AI tools will only produce generic content that sounds like everyone else. We break down a simple way to get your real thinking out of your brain and into a format AI can actually use.We demo a practical workflow using ChatGPT dictation as a mini self-interview. You'll hear five clarity-session questions designed to pull out your strongest opinions and your sharpest positioning: what you wish customers understood, common misconceptions, the problem you solve best, the decision you want clients to make sooner, and the one takeaway you want remembered. Then we show how that raw “download” turns into an opinionated blog post, social posts, and reusable messaging your writers and marketers can refine without losing your voice.We also connect the dots to AI SEO and the shift from search to answers. Google AI, Perplexity, and other answer engines rely on structured expertise they can recognize and cite. When you provide clear, perspective-rich inputs, you give these systems something trustworthy to reference and you stop competing on shallow tactics. Finally, we explain how this evolves into a custom GPT that acts like a strategic partner for your team, helping with proposals, onboarding, hooks, headlines, and consistent brand messaging.Subscribe, share this with a business owner who's tired of sounding generic, and leave a review with the clarity question you want to answer first.Support the show

Google just changed the rules of search, and a lot of businesses won't notice until leads slow down. We're looking at Google's new AI Search mode and the uncomfortable reality that comes with it: you can rank number one in classic SEO and still be invisible if the AI doesn't trust you enough to cite your site.We walk through what AI search is doing behind the scenes, how it scans a huge set of sources and writes the answer for the user, and why that naturally leads to fewer direct clicks. From there, we get practical about the new goal for AI SEO: earning citations by building trust signals. That includes real expertise, clear structure, and proof that you're legitimate, not just a page filled with keywords.A local “best plumber” example makes the point crystal clear. AI results can lean heavily on customer reviews, satisfaction patterns, and Google Business Profile signals, not the marketing copy you paid for. We also break down what “AI-ready content” looks like today: step-by-step depth, costs and options, local specifics, original photos, case studies, review snippets, and schema markup that supports E-E-A-T.To show how serious this is, we share a Surfer SEO case study on ClickUp's content refresh, where updating hundreds of articles and expanding content quality led to an 85% increase in organic traffic. If you want your business to show up in Google AI Mode, Gemini, and other generative search experiences, this is the playbook.Subscribe, share this with a friend, and leave a review if you want more clear, practical guidance on what actually works in modern SEO.Support the show

Google just changed the rules of search again, and this time it's not about beating competitors with better keywords. It's about whether Google AI Mode decides your site is trustworthy enough to cite while it answers the question for the user. I walk through what AI Mode looks like, why it's showing up now, and how AI-powered search is shifting attention away from the classic list of links and toward synthesized, conversational results with citations.We dig into the practical impact: more zero-click searches, fewer traditional organic clicks, and analytics that can suddenly look “worse” even when your brand is still influencing decisions. I explain query fan out in plain language and why it rewards businesses that publish clear, self-contained answers instead of fluffy pages designed only to rank. If you're local, we also talk about why your Google Business Profile becomes even more valuable as Google leans harder on its own trusted data sources.Then we get tactical. I cover EEAT and what “experience, expertise, authority, and trust” look like when an AI model is deciding what to quote. We talk structured data and schema markup, including FAQ-style formatting that makes it easy for AI to extract direct answers. I also push back on the trap of building everything to please Google alone, and share why a customer-facing custom GPT on your website can help you serve buyers across ChatGPT, Gemini, Perplexity, and beyond. If you want to stay visible as AI search takes over, subscribe, share this with a business owner, and leave a quick review with your biggest question about Google AI Mode.Support the show

Your headshot is working even when you are not, and if it feels dated, awkward, or “good enough,” it may be quietly costing you attention and trust. We put that problem to the test by starting with a low-quality phone selfie and using Google Gemini with the Nano Banana image generator to create sharper, more intentional profile pictures in minutes.Along the way, we show the simple workflow that makes this practical for real business use: grab one decent selfie, ask ChatGPT for strong prompt variations, then iterate inside Gemini until the image matches the energy you want to project. You will hear why creative versions can outperform typical profile photos, how a visual hook creates an emotional connection, and why that matters for marketing directors, founders, and leaders who need results fast. We also experiment with multiple styles, from clean black-and-white headshots to bolder looks, and we build staged scenarios like delivering a keynote, adjusting wardrobe to fit the moment, and refining body language so the image tells the right story.If you care about personal branding, professional headshots, website photography, LinkedIn profile images, or social media assets, this is a practical look at using AI for business without making it complicated. Subscribe, share this with a teammate who owns your website or marketing, and leave a review. What is the first photo you would remake with AI?Support the show

If your marketing sounds “smart” but your prospects look confused, that's not a lead problem, it's a clarity problem. We dig into why storytelling is the shortcut to attention in a TikTok-age world and why emotion is the part people remember long after the details disappear. When someone can't repeat what you do, they can't buy it. We walk through a practical demo of Google Gemini Storybook and show how AI can turn a messy, rambling explanation into a polished narrative with images and even narration. The big idea is simple: complexity kills clarity. Great leaders and great sellers don't overwhelm people with specs; they give them a story that creates an instant picture of the problem, the turning point, and the better future. You'll hear a concrete example where “synergistic data integration” becomes a “magic compass,” and suddenly the value clicks. That shift is the heart of brand storytelling, sales messaging, and positioning: make the outcome obvious, let the customer see themselves in the story, and guide them to confidence. We also share how to iterate prompts, tweak branding, and repurpose the output into website copy, presentations, and marketing content. If you want to clearly communicate your value and help customers imagine their successful future, hit play, then subscribe, share this with a friend who's rewriting their pitch, and leave a review with the one sentence you want your audience to remember.Support the show

Most people don't struggle with AI because the tools are weak. They struggle because they feel like they have to be perfectly clear before they type a single word. I'm live from a mobile setup, and I walk through a simple workaround I use all the time: confession prompting. It's exactly what it sounds like. I tell the LLM the truth, that I'm not sure where to start, what I'm trying to achieve, and what's fuzzy in my head, then I ask it to help me shape a plan.You'll hear a real, practical example from my own prep for the show: I'm choosing between calling the technique a “brain dump” or a “confession,” and I ask the AI for pros and cons plus a title that bridges both. That one prompt creates instant momentum and gives me options I can refine. From there we expand into everyday business use cases, like writing marketing emails for blog visitors that feel encouraging instead of salesy, and turning scattered thoughts into clear project instructions you can hand to an employee.We also talk about what happens when you level up from generic prompting to a custom GPT that knows your voice, your products, your services, and your customers. When the model has that context, messy input can turn into content that's clearer, more on-brand, and more usable, like having a “mini you” to help you think. If you're a leader juggling meetings, clients, and constant context switching, this approach can help you get organized fast and show up prepared.If this clicks, subscribe so you don't miss next week, share it with a friend who overthinks prompts, and leave a review with the one task you want AI to help you simplify.Support the show

Your team might be working hard and still drifting apart, not because they do not care, but because the destination is fuzzy. I dig into a leadership problem I see everywhere: a clear vision in the leader's head that never fully transfers to the team. When that happens, people row in different directions, execution slows down, and culture gets noisy.We explore the Vivid Vision approach from Cameron Herold and why a story-based vision document creates real alignment. Then I walk through Google NotebookLM, a free AI tool that helps you pull together the best sources you already trust such as YouTube videos, documents, slides, web pages, and more. The key is that NotebookLM can answer questions using only your selected materials and even provides citations, which makes it a strong fit for leadership communication, strategic planning, and internal training.The fun part is how fast it produces usable assets: briefing documents, study guides, FAQs, timelines, mind maps, plus audio and video overviews that feel like an explainer. That means your SOPs, HR policies, onboarding notes, and “state of the union” messages can become clear, watchable content in minutes instead of weeks. If you want to scale clarity across your organization, this is a practical way to do it with AI, without losing your voice.Subscribe for more ways to make AI simple, share this with a leader who needs clearer alignment, and leave a review so more teams can find it.Support the show

Most leaders don't fail because they lack ideas. They fail because the idea never becomes a plan that other people can actually follow. We dig into a simple truth that cuts through the noise: the person who writes down the thing has tremendous power, because writing turns vision into shared direction and shared direction turns into execution.We talk about why AI adoption is already here for businesses, managers, and new grads, and why “being good at AI” is quickly becoming table stakes. But the real leverage point is communication: getting what's in your head into a clear, written format your team can align around. I walk through a practical generative AI workflow using tools like ChatGPT and Gemini: start with a voice brain dump, have the model shape it into objectives and timelines, then generate a one-page plan and a five-bullet executive summary you can send to your team. We also show how to pressure-test the plan by asking for the top objections and blind spots before you ever present it.Then we shift into storytelling as a leadership multiplier. A short narrative can create empathy and stakes in a way bullet points can't, and AI can help you draft that story fast, even with visuals and narration. If you want a repeatable method to communicate clearly, build alignment, and move faster, this one is for you. Subscribe, share this with a leader who needs clarity, and leave a review so more teams can use AI to lead better.Support the show

A lead magnet PDF is useful, but it's also a dead end: it can't answer follow-up questions, it can't adapt to the reader, and it can't sound like your best salesperson at 1am. We walk through a better model using custom GPTs and conversational AI to create an interactive “download” that feels like a real conversation and still moves people toward a form fill, a call, or a purchase.We explain what a custom GPT actually is, how it blends instructions, curated knowledge, and targeted skills, and why that matters for business owners who want better marketing and a better customer experience. You'll hear examples like a messaging feedback GPT that reviews a website's positioning, plus a niche “Loan My Coins GPT” that lets visitors explore complex questions safely at arm's length before they talk to a human.We also get practical about internal use: capturing the founder's subject matter expertise, locking in brand voice and tone, and helping a team draft emails, proposals, and customer replies that stay consistent. Finally, we talk about voice mode and why spoken conversations with an AI assistant can feel more natural than reading a PDF or chasing a bad phone rep.If you're building a modern lead magnet, a training assistant, or an always-on support layer, subscribe for more, share this with a friend who needs it, and leave a review with the custom GPT idea you want to build next.Support the show

A new White House move is putting AI on a fast track, and the ripple effects won't stay in Big Tech. We unpack America's AI Action Plan and what it really means when the government treats artificial intelligence like national infrastructure with massive investment behind it. If you run a small business, manage a team, or simply want to stay employable, this is the kind of shift that changes your workflow, your tools, your customer expectations, and your advantage in the market.We connect the dots between the global AI race and the unglamorous but decisive constraint behind it: electricity. Data centers, power grids, and streamlined permitting determine how fast AI scales and how expensive it stays. As those “digital roads” get built out, AI for sales, inventory, operations, and customer support gets faster, more reliable, and more affordable, which can finally level the playing field for Main Street. We also talk through the worker-first AI agenda and why training, apprenticeships, and adoption support matter as much as the models themselves.To make this practical, we share a simple way to read the actual White House white paper using Google NotebookLM, turning a long document into a briefing, FAQs, and a clear map of priorities. Then we get tactical: start small with ChatGPT, run team training, and do your own prep for tax and R&D questions instead of waiting for someone else to catch up. If you want to lead the change rather than react to it, this is your roadmap.Subscribe for more plain-English AI guidance, share this with a business owner who needs a head start, and leave a review with the one AI task you want to automate first.Support the show

Someone called us and said, “I asked ChatGPT.” That one line sums up the new reality: we're moving from a search world to a conversation world, and your next best lead may never click ten blue links again. When buyers ask an AI assistant who to hire, they are often ready to act, and the model gives them a short list with reasons, context, and next steps. If you care about online visibility, AI SEO, and getting recommended by ChatGPT, your message and your reputation footprint have to work together.I show you a real example prompt and unpack what the model is actually doing behind the scenes: clarifying intent, running a targeted web search, scanning for patterns across results, cross-referencing sources, and filtering out “marketing fluff.” Then I dig into a practical breakdown of what influences those recommendations, including the part you control on your own website and the larger set of third-party signals you can influence over time, like reviews, directories, awards, press mentions, and organic discussions.The fastest leverage point is sharpening your website's core promise so it speaks your client's language. We talk about leading with felt pain, adding empathy-driven copy, writing scenario-based pages and FAQs, and turning your site into a silent sales partner. I also share a free tool, the One Clear Offer GPT, that interviews you and helps you craft a clear offer plus a plan for an AI-ready content flywheel using pillar pages, blog content, and social posts that stay congruent across the web.Download the free One Clear Offer GPT, subscribe for more practical AI marketing tactics, and if this helped, share it and leave a review so more business owners can get found in the new conversational search era.Support the show

An AI data center is being built just miles from where I live, and it forced a question most of us have avoided: do we really understand what the AI boom looks like in the physical world? Not as apps and prompts, but as 5,800 acres, millions of square feet, and power demands measured in gigawatts. I walk through a newly announced AI energy campus near Pantex outside Amarillo, Texas, and use it as a clear signal that the AI economy is already reshaping local communities.From there, we zoom out to what these projects trigger: waves of construction work, supply chain growth, hospitality demand, and long-term secondary jobs that follow major “primary employers.” We also get honest about the energy side of artificial intelligence infrastructure. Data centers need electricity, cooling, and grid upgrades, and some facilities bridge the gap with on-site generation like methane gas turbines while the local electrical infrastructure catches up. When millions of people adopt tools like ChatGPT, Claude, and Gemini, the demand curve only moves one direction.Finally, I translate the data center boom into practical strategy. What should a local HVAC company do right now? What should a marketing agency, law firm, or operations leader specialize in? And how might AI agents push compute needs even higher than today's chat-based usage? If you want a grounded look at AI data centers, energy demand, job disruption, and business model pivots, you'll get a roadmap here. Subscribe, share this with someone planning their next career move, and leave a review with the skill you're choosing to level up next.Support the show

Your website might be doing exactly what it was designed to do and still losing the sale. A static set of pages can't adapt to a buyer's real questions, can't hear hesitation in a follow-up, and can't guide someone through their own path to trust. We explore a different model: stop building brochure sites and start building a “mind” that captures your subject matter expertise and delivers it as a one-on-one experience. We dig into Google Labs Portraits as a practical preview of where AI customer experience is headed: an interactive representation of an expert that people can talk to, test, and learn from. From there, we connect the dots to custom GPTs and specialized AI assistants. When you “bake in” a knowledge base, define a role, and set clear prompts, you move from generic chat to a digital twin that teaches, coaches, and answers questions in your voice. That is not just better content marketing. It is a new interface for trust, lead generation, and conversion. We also make it real with business examples like a family law attorney who fields the same early-stage questions all day. A voice agent can handle the first hundred calls, deliver clarity on process and pricing, qualify fit, and then route the right people into scheduling and next steps. The big takeaway is simple: the companies that win will not just “have a website.” They will offer an AI-powered, personalized conversation that meets prospects where they are and scales the best part of the business owner, the expertise. If this sparks ideas, subscribe, share this with a friend who runs a service business, and leave a review so more people can find it. What would you clone first: your sales brain, your onboarding, or your customer support?Support the show

AI isn't waiting for anyone to catch up, it's getting baked into the tools your team already uses and it's starting to reshape both white-collar and blue-collar work. We want you to feel confident leading through that change, not guessing your way through it. So we built a simple shortcut: a free “Any Topic Made Simple” GPT tutor that can teach you whatever you need, on your schedule, with explanations that match your experience level. We walk through the real problem first: you're busy, you want to learn, but finding the right course or podcast takes time you don't have. Then we show the better way, using ChatGPT voice mode to turn learning into an interactive conversation while you're walking, driving, or doing hands-on work. You pick the topic, set your time per day, and the tutor builds a structured mini-course with modules and optional deep dives. To make it concrete, we demonstrate learning the fundamentals of LLMs, including what makes a model “large,” why the transformer architecture matters, and how self-attention helps an AI understand context. Along the way, we connect the dots to AI adoption in business: higher productivity, better customer service, and a smarter use of your best people by reducing draining, repetitive work. If you want the free tools, links, and our AI Made Simple newsletter, listen through and try the tutor today. Subscribe, share this with a friend who's AI-curious, and leave a review with the topic you want to learn next.Support the show

COVID didn't just disrupt my business, it exposed how dangerous it is to assume things will “go back.” I lost over half my customers and revenue, spent years trying to recover the old way, and finally realized the market had already moved on. That hard lesson is why I'm so focused on artificial intelligence, not as hype, but as the next wave that will reshape how we hire, how we work, and how we stay competitive.I walk through a simple signal that's easy to miss: job growth slowing even while the economy is called “strong.” Using Bureau of Labor Statistics employment data, I explain why companies are increasingly choosing automation, software, and AI tools instead of adding headcount. When AI can remove low value tasks, businesses can redeploy existing employees into higher value work, and that changes staffing plans across industries. I also point to what we're seeing in big tech: banner years in profits alongside real reductions in hiring as AI adoption accelerates.Then we get concrete with restaurant operations, where margins are thin and execution is everything. I break down Wendy's Fresh AI drive thru approach, plus back of house AI for demand forecasting, smarter ordering, less waste, and scheduling that reduces the constant stress of call-outs and labor cost swings. To make it actionable, I share a free custom tool, Profit Prep GPT, built to help you map quick wins for AI implementation based on your concept, throughput, and current tech stack.If you want to stay ahead of AI disruption and future proof your business, listen now, grab the free tools, and share this with someone who's still hoping things go back to the way they were. Subscribe, leave a review, and tell me what topic you want me to cover next.Support the show

Stock photos are expensive, slow, and never quite feel like you. If you've ever spent 20 to 30 minutes hunting for a single “good enough” image for a blog, newsletter, or social post, this walkthrough gives you a cleaner path: generate original, royalty-free visuals that actually match your brand.We show how we set up a ChatGPT Project to act as an on-brand image prompt generator. The trick is simple but powerful: upload a few lightweight project files that capture your brand personality guidelines and image style guidelines, then write clear instructions that make the assistant behave like a photographer who already knows your business. From there, you paste in your marketing text and get six structured image prompt options, complete with mood, lighting, composition, and the human outcome you want the viewer to feel. You also learn why image prompts need different thinking than content prompts, and how specifying the use case (hero banner, square post, portrait) keeps results consistent.Then we put the prompts to work across three tools: ChatGPT, Grok, and Gemini. You'll see the tradeoffs in speed and quality, plus the real-world issues that still pop up like awkward text rendering or small details going sideways. We close with practical prompt tweaking tactics and a client example that shows how quickly you can dial in a repeatable system for high-quality marketing images.Subscribe, share this with a friend who's stuck in stock-photo purgatory, and leave a review if the workflow saves you time. What brand asset do you want to generate first: a blog header, a hero banner, or a social post?Support the show

AI is here, and pretending you'll “figure it out later” is the fastest way to fall behind. We go live to make ChatGPT feel usable for normal work, with a simple mindset shift: don't fight the tiger. Train it, set expectations, and move forward with confidence.We start with a quick, practical tour of ChatGPT so you know what you're looking at, then we build something you can reuse: a ChatGPT Project. Think of a Project as your AI office manager for long-running goals, where your context stays organized instead of getting lost across random chats. To make it real, we sketch a personal health improvement coach designed around balance, strength, and a healthier mindset, then show how custom instructions turn a vague idea into a repeatable system.Next comes the workflow that removes the biggest blocker for beginners: prompting. We use “confession prompting” to let the AI help write the prompt itself, so you're not stuck trying to sound like a prompt engineer. Then we add a knowledge base by bringing in files and curated sources, so the Project can reference trusted frameworks first. From there we zoom out to business impact, including how AI search changes the way we solve problems like Google Business Profile approvals and why Google faces the innovators' dilemma as ads and search behavior shift. We also touch on Google Workspace, Gemini “Gems,” and where agentic AI is heading.Subscribe, share this with a friend who's AI-curious, and leave a review with the Project you want to build next.Support the show

Running an agency has many hurdles, right? Luckily, there are many tools out there to help with that. In this episode of the ROI Online Podcast, we sat down with Chase Buckner, the Marketing and Sales Director of HighLevel, to learn how agencies and marketers can thrive with a simple all-in-one sales and marketing platform. Chase Buckner started in HighLevel, a marketing and sales platform that helps agencies and marketers thrive, as Manager of Customer Success and is now the Marketing and Sales Director. In his role, Chase manages the affiliate, paid ads, and organic content channels as well as the marketing team. He also owns Vallarta CoWork, located in Puerto Vallarta, Mexico. It's the city's first coworking space with all the commodities you need to work peacefully.With HighLevel's all-in-one marketing and sales platform, you can keep your tools in one place while saving money and streamlining your entire delivery process so you can focus on keeping your clients happy. It can also help you grow your agency by connecting you with the most successful agency owners on the planet who will be able to help you close more deals or allow you to offer more services.Among other things, Chase and Steve discussed:Chase's backstory and experiences What HighLevel is and how it worksEasy ways to use HighLevel to grow your agencyHow HighLevel can set agencies and marketers up for success in the futureExciting new things coming to HighLevelYou can learn more about Chase here:Follow Chase on LinkedInRead the books mentioned in this podcast:The Golden Toilet by Steve BrownLearn more about Go High Level:https://www.gohighlevel.com/main-page?fp_ref=lewis-affiliates67Thinking of starting your podcast? Buzzsprout's secure and reliable posting allows you to publish podcasts online. Buzzsprout also includes full iTunes support, HTML5 players, show statistics, and WordPress plugins. Get started using this link to receive a $20 Amazon gift card and to help support our show!Support the show

Are you constantly looking for new marketing strategies that elevate your business? A mastermind is a brilliant way to go about it. In this episode of the ROI Online Podcast, we sat down with CEO & entrepreneur R.T. Custer to learn how to develop a mastermind, how to maximize its impact, and how to use it to grow your business.R.T. is the Co-Founder and CEO of Vortic Watch Co, a wristwatch manufacturing company. He's also Chief Revenue Officier of Carter & Custer, a full-service advertising agency serving clients mostly through content and story-based marketing services.R.T. discovered that leaders like Walt Disney, Franklin D. Roosevelt, Benjamin Franklin, and Thomas Eidson all shared one secret that propelled them to success: each person was a member of a mastermind group. Masterminds are led by someone who starts the group as a way of helping people achieve a specific, common purpose. For example, the leader directing the mastermind might want to help people scale a business. Among other things, R.T. and Steve discussed:R.T.'s backstory and experiences How his company Vortic Watches startedMore about his agency Carter & Custer and the Fast Foundations MastermindHow to run a mastermindHow to create a mastermindHow to organize a mastermind groupYou can learn more about R.T. here:Follow R.T. on LinkedInRead the books mentioned in this podcast:The Golden Toilet by Steve BrownLearn more about R.T. businesses:https://carterandcuster.com/fast-foundations/https://carterandcuster.com/https://vorticwatches.com/Thinking of starting your podcast? Buzzsprout's secure and reliable posting allows you to publish podcasts online. Buzzsprout also includes full iTunes support, HTML5 players, show statistics, and WordPress plugins. Get started using this link to receive a $20 Amazon gift card and to help support our show!Support the show

How can you truly know you're delivering the best and most relevant content? This is an often asked question by entrepreneurs and luckily we have something that can help you grow your business. In this episode of the ROI Online Podcast, SEO Specialist and co-founder of Surfer Michał Suski explains how to merge content strategy, creation, and optimization into one smooth process to grow your brand and business.Michał  is a SEO Specialist, he joined the IT industry during his last year at university and five years later he became a co-founder of Surfer which is a modern SEO tool that helps efficient teams stay ahead of the game. Surfer is a bootstrapped company, profitable, and growing constantly. Michał's responsible for educating customers, introducing Surfer into their processes, business development, and partially the product growth direction.If you're wondering how you can create content that ranks on the first page of Google, better your strategy and grow your company you should definitely stay and listen!Among other things, Michał and Steve discussed:Michał 's backstory and experiences How his company “Surfer” started The importance of having a great content strategyHow to cheat Google SEOHow to write a good description for SEOHow to make money off of SEOHow important are blogs to SEOHow much do SEO writers makeYou can learn more about Michał here:Follow Michał on LinkedInYou can learn more about Surfer here:https://surferseo.com/Read the books mentioned in this podcast:The Golden Toilet by Steve BrownThinking of starting your own podcast? Buzzsprout's secure and reliable posting allows you to publish podcasts online. Buzzsprout also includes full iTunes support, HTML5 players, show statistics, and WordPress plugins. Get started using this link to receive a $20 Amazon gift card and to help support our show!Support the show (https://cash.app/$stevemfbrown)