Welcome to Small Business Stories, the podcast where we celebrate the real-life journeys of small business owners. We dig into inspiring tales of triumphs, challenges, and the tough lessons we learned along the way. Each episode is packed with relatable anecdotes and practical tips that you can use to fuel your own entrepreneurial dreams. Whether you're just starting out or looking to grow your business, you'll find motivation and insight in every story. Tune in and get ready to be inspired by the heart and hustle of small business owners just like you! We say it like it is - no filters. Being an SMB owner isn't easy, but we're compelled to do it.
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How to Become an Expert in Your Field with Katrena Friel
Season 6 · Episode 84
Saturday, September 26, 2026 • Duration 39:30
S6:E84
It has never been easier to look like an expert. That may be precisely why genuine expertise matters more.
AI can help produce polished content, sophisticated branding, books, social posts, and an increasingly convincing professional presence. But none of those things automatically demonstrate depth, judgment, experience, or the ability to create results.
In this episode, Katrena Friel, founder of Becoming the Expert, joins Dr. LL to explore the increasingly important difference between being visible and being trusted. In my opinion, Katrena is AMAZING. She speaks her truth and knows her subject.
If people don't trust the evidence behind your expertise, reach alone won't create authority.
If your personal brand requires you to perform someone you're not, consistency eventually becomes exhausting.
And if AI makes everyone sound increasingly polished, the messy, specific, deeply human evidence of real expertise may become even more important.
Loralyn Mears, PhD, aka "Dr. LL," brings you thoughtful conversations with entrepreneurs and small business leaders navigating visibility, leadership, and growth. Thank you for being here.
👤 Guest
Katrena Friel Founder, Becoming the Expert Expert positioning, personal branding, business ecosystems, and entrepreneurship
⚠️ Core Problems Discussed
• Mistaking influence or reach for genuine authority
• Building audiences that don't translate into meaningful business
• Using AI to create polished content without substantive expertise underneath it
• Chasing automation and low-touch products when clients may want direct access to expertise
• Becoming indistinguishable inside increasingly similar AI-generated content
• Building multiple revenue streams that fragment rather than reinforce a core business
• Performing a personal brand that doesn't feel authentic
🥡 Practical Takeaways
• Authority is deeper than visibility; evidence and substance matter.
• Social media can support due diligence without needing to become the entire business strategy.
• A book can function as positioning even when it isn't primarily a revenue generator.
• Multiple offers work better when they're expressions of one underlying philosophy.
• Authenticity doesn't mean eliminating strategy; Katrena describes it as strategically "editing" distractions without becoming someone else.
• AI can save enormous amounts of time without needing to replace the human voice or expertise itself.
• Longevity comes from refining durable expertise rather than continually chasing the next shiny object.
⏱️ Timestamps
01:18 Influence versus authority 02:31 Visibility isn't the same as being trusted 04:45 "Cardboard cutouts" and performed expertise 07:15 Why Katrena believes high-touch expertise is returning 11:49 AI and Dr. LL's "sea of sameness" 15:05 Building multiple revenue streams from expertise 19:32 Personal branding without becoming a persona 25:10 Can we still trust content in an AI-generated world? 29:48 Seven revenue streams but one philosophy 32:34 Where authority building actually begins
🔖 Who This Episode Is For
Experienced consultants, coaches, speakers, founders, and subject-matter experts trying to turn what they genuinely know into a clearer, more sustainable business.
At STEERus, we see Authority Theater as an emerging misinterpretation risk: the digital signals associated with expertise are becoming easier to reproduce while the underlying substance remains much harder to manufacture. Visibility works best when the signals people and AI encounter accurately represent the expertise behind them.
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Why Your Small Business Isn't Scaling with Joseph Shalaby
Season 6 · Episode 83
Wednesday, September 23, 2026 • Duration 26:00
S6:E83
How do you know when persistence is serving the business? Or at what point does attachment to what you've built prevent you from seeing it clearly?
Joseph Shalaby knows something about operating through uncertainty. As founder of eMortgage Capital, he has built within an industry shaped by economic cycles, regulation, changing consumer expectations, and a persistent trust problem.
But this conversation goes well beyond mortgages.
Joseph and Dr. LL explore what ownership means from buying a home to building a company and the responsibility that comes with both. They discuss financial literacy, entrepreneurship, faith, service, consistency, and one of the most uncomfortable questions an owner can confront:
Is what I've built actually working?
If people don't trust your industry, credentials alone may not change their perception.
If owners don't trust—or confront—the evidence inside their own businesses, they can mistake persistence for progress.
And when what we believe becomes stronger than what the evidence shows, misinterpretation can begin with us.
Loralyn Mears, PhD, aka "Dr. LL," brings you thoughtful conversations with entrepreneurs and small business leaders navigating visibility, leadership, and growth. Thank you for being here.
👤 Guest
Joseph Shalaby Founder, eMortgage Capital Mortgage lending, entrepreneurship, financial literacy, and business growth
⚠️ Core Problems Discussed
• Homeownership feeling increasingly out of reach for many consumers
• The long-standing trust and perception problem surrounding the mortgage industry
🥡 Practical Takeaways ⏱️ Timestamps 🔖 Who This Episode Is For
Why You're Wasting Money on Google Ads with Andy Janaitis
Season 6 · Episode 82
Friday, September 18, 2026 • Duration 33:21
S6:E82
Better Data, Better Decisions with Andy Janaitis
What if your advertising dashboard says you're succeeding but your bank account says otherwise?
That's not necessarily a marketing problem.
It may be an interpretation problem.
Queue up this episode of Small Business Stories with Andy Janaitis, founder of PPC Pitbulls, for a grounded look at what increasingly automated advertising requires from small businesses: better data, clearer objectives, and enough human judgment to know whether the algorithm is optimizing the right thing.
Andy began his career in data science, where he learned an enduring lesson: sophisticated models cannot rescue bad inputs. Today, he sees the same problem playing out inside Google Ads, Meta, CRMs, e-commerce platforms, and increasingly AI.
A platform can report a conversion without that conversion becoming meaningful revenue. A business can optimize for cheap clicks and attract the lowest-quality traffic. Two systems can report different versions of the same result. And a founder can spend tens of thousands of dollars before realizing the metric everyone celebrated wasn't measuring what mattered.
If people don't trust the numbers, they can't confidently act on them. If leadership misunderstands what a metric actually represents, better technology can accelerate the wrong decision. And if AI interprets an incomplete picture of the business, "mostly right" may still be wrong enough to make the right customer effectively invisible.
Loralyn Mears, PhD, aka "Dr. LL," brings you thoughtful conversations with entrepreneurs and small business leaders navigating visibility, leadership, and growth. Thank you for being here.
👤 Guest
Andy Janaitis Founder, PPC Pitbulls Data scientist turned PPC strategist specializing in paid advertising performance
⚠️ Core Problems 🥡 Practical Takeaways ⏱️ Timestamps 🔖 Who This Episode Is For
Why Your Marketing Isn't Working with John Elbing
Season 6 · Episode 81
Wednesday, September 16, 2026 • Duration 33:28
S6:E81
Businesses usually think about marketing from the inside out.
Here's what we do. Here's why we're good. Here are our features. Here are our credentials.
John Elbing thinks we should turn the entire thing around.
As founder of Standpoint and creator of the Storybuilding approach, John helps businesses see themselves through the customer's eyes. His starting point is deceptively simple: before customers care about your company, they need to recognize that your company understands them.
That conversation takes an especially interesting turn when John and Dr. LL explore what happens when AI becomes another interpreter standing between a business and its customer.
John shares the example of a company that surfaced correctly when queried through ChatGPT but was then described as expensive, despite having no pricing information on its website. After they changed the company's digital messaging, the characterization changed.
That is misinterpretation risk happening in the wild.
If people don't trust you, more promotion doesn't necessarily solve the problem.
If people don't understand you, more content may simply amplify the confusion.
And if AI doesn't interpret your signals correctly, your business may never reach the customer who was looking for exactly what you provide.
👤 Guest
John Elbing Founder, Standpoint Creator of Storybuilding Marketing strategist focused on customer-centered communication
⚠️ Core Problems
Founder-centric rather than customer-centric messaging
Trying to appeal to everyone
Explaining features before establishing relevance
🥡 Practical Takeaways ⏱️ Timestamps 🔖 Who This Episode Is For
Should AI Replace Humans in Customer Service? Guest Nathan Strum has Thoughts
Season 6 · Episode 80
Monday, September 14, 2026 • Duration 23:05
S6:E80
AI, Empathy & Why Humans Still Matter with Nathan Strum
AI can answer the phone. It can schedule appointments. It can listen to sales calls, extract insights and eliminate tedious administrative work.
But can it make someone who has just lost their cat genuinely feel heard?
Nathan Strum doesn't think so.
For more than 20 years, his company Abbey Connect has built its reputation around human receptionists. About a year ago, Nathan faced the same decision confronting millions of business owners: how do you embrace AI without destroying the human experience that made the business valuable in the first place?
He didn't reject AI. Quite the opposite.
Nathan calls the technology a game changer and believes businesses that ignore it are doing themselves a disservice. But Abbey Connect has approached implementation by asking where technology can support people rather than automatically replace them.
If people don't trust how AI is being introduced, efficiency alone isn't enough.
If employees fear that every new AI tool is ultimately designed to eliminate their jobs, customers may eventually feel the effects of that distrust.
And if customers believe they're interacting with a caring human when they're actually interacting with software engineered to simulate empathy, the business introduces an entirely different trust problem.
👤 Guest
Nathan Strum Founder, Abbey Connect Customer service, human receptionist services, culture and AI integration
⚠️ Core Problems
Treating human replacement as the default objective of AI adoption
Confusing simulated empathy with human connection
Introducing automation without communicating with employees
🥡 Practical Takeaways ⏱️ Timestamps 🔖 Who This Episode Is For
Why Your Google Ads Aren't Working Anymore with John Sanders
Season 6 · Episode 79
Thursday, September 10, 2026 • Duration 31:19
S6:E79
Why More Traffic Doesn't Mean More Business with John Sanders
Your advertising may be doing exactly what you asked it to do. That doesn't mean it's helping your business.
John Coleman Sanders has spent 16 years working with Google Ads, and he says the platform has undergone some of its most significant changes in just the past year. AI is interpreting intent, old strategies are becoming obsolete, and businesses have less control over precisely when and where their ads appear.
But John's bigger message isn't about mastering Google's latest feature.
It's about understanding whether those clicks ever become business.
If people click but don't understand the offer, more traffic won't solve the problem.
If your website says something different from what you believe it says, Google can interpret your business incorrectly.
If leads arrive but 80% disappear because your back-end process isn't working, the ad isn't the primary failure.
And if people don't trust what they encounter after clicking, paying to send more people there only magnifies the problem.
👤 Guest
John Coleman Sanders Founder, RevKey Google Ads, paid acquisition and measurable business growth
⚠️ Core Problems
Rising advertising costs without corresponding business results
AI changing how Google interprets searches and intent
Websites inadvertently communicating the wrong positioning
Traffic arriving before the business is ready to convert it
Companies mistaking clicks for results
Constant campaign changes preventing Google's systems from learning
Disconnects among advertising, website, offer and follow-up
🥡 Practical Takeaways
⏱️ Timestamps 🔖 Who This Episode Is For
Why AI Won't Fix a Broken Business with Tullio Siragusa
Season 6 · Episode 78
Monday, September 7, 2026 • Duration 29:21
S6:E78
AI doesn't arrive inside a business as a neutral cure for everything that isn't working.
It encounters the decision structures, silos, leadership behaviors, customer experience and culture that are already there and then it can make them move considerably faster.
That's the tension at the center of this episode of Small Business Stories with Tullio Siragusa, founder of Inventrica Advisory.
Tullio works at the intersection of artificial intelligence, leadership and organizational transformation. His argument is refreshingly human: don't automate away the very qualities that made people value your business in the first place.
If customers don't trust the experience you give them, more automation won't manufacture trust.
If employees don't have sufficient autonomy to make decisions, adding faster technology won't necessarily produce better decisions.
And if what your business promises externally doesn't match what people experience internally, AI can amplify that contradiction at scale.
That's where this conversation intersects directly with Dr. LL's work on misinterpretation risk and Decision Integrity: the signals a business sends aren't created by marketing alone. They're created by how the business actually behaves.
👤 Guest
Tullio Siragusa Founder, Inventrica Advisory AI transformation, leadership, organizational design and decision architecture
⚠️ Core Problems
Organizations automating processes that were already dysfunctional
Legacy command-and-control structures slowing AI adoption
Silos preventing collaboration and decision flow
Confusing employee activity with actual progress
AI exposing leadership and communication weaknesses
Customer-service automation removing human agency
External brand promises conflicting with internal organizational reality
🥡 Practical Takeaways ⏱️ Timestamps 🔖 Who This Episode Is For
How to Get Startup Funding with Vijay Rajendran
Season 6 · Episode 77
Friday, September 4, 2026 • Duration 35:27
S6:E77
A funding round can transform a company. It can also change who controls it, how it's expected to grow and even whether the founder remains CEO.
So perhaps the first fundraising question shouldn't be How do I get the money?
It should be:
Do I actually want what comes with it?
Queue up this episode of Small Business Stories with Vijay Rajendran, founder of Startup System and author of The Funding Framework, for a grounded look inside startup fundraising in 2026.
Vijay describes a market where more capital is concentrating in fewer companies, AI commands extraordinary investor attention, and founders outside the hottest categories may wonder whether funding is even accessible.
His response is refreshingly grounded: most businesses shouldn't be pursuing institutional capital in the first place.
If investors don't trust you, a beautiful pitch deck won't solve the underlying problem.
If your business doesn't fit an investor's thesis, more outreach doesn't necessarily create better odds.
And if the narrative surrounding your company doesn't accurately convey its opportunity, two founders presenting fundamentally similar businesses can produce dramatically different investor reactions.
Fundraising, Vijay argues, is ultimately a trust-building exercise.
👤 Guest
Vijay Rajendran Founder, Startup System Author, The Funding Framework Instructor of leadership and change management for startup founders at UC Berkeley
⚠️ Core Problems
Venture capital increasingly concentrating among fewer companies
Founders assuming fundraising is necessary
🥡 Practical Takeaways ⏱️ Timestamps 🔖 Who This Episode Is For
Small Business Cybersecurity: What You Don't See Can Hurt You with Last Pass CEO Karim Toubba
Season 6 · Episode 76
Wednesday, September 2, 2026 • Duration 42:14
S6:E76
Security is ultimately a promise of trust. So what happens when that trust gets broken?
Karim Toubba has had to answer that question in circumstances few CEOs would choose.
He joined LastPass as their CEO only months before the company experienced a significant and highly publicized 2022 security breach. In this candid conversation, Karim acknowledges that LastPass initially communicated too slowly and explains the systemic changes, transparency, investment and cultural work required afterward.
Queue up this episode of Small Business Stories for a conversation that goes well beyond passwords.
Because the threat itself is changing.
Karim says AI is producing a meaningful productivity advantage for small businesses, but it is simultaneously allowing malicious websites and other threats to be generated at much greater velocity. Employees are also adopting AI applications faster than many organizations can establish policies around what data those applications should be allowed to access.
If people don't trust you, reassuring them that you're trustworthy isn't enough.
If customers cannot see credible evidence supporting what you say, they'll increasingly turn to third-party communities and other sources to interpret your credibility for themselves.
And if inaccurate or incomplete information about your organization remains unchallenged, the external interpretation of your company can begin separating from the reality inside it.
That's where Karim's cybersecurity experience intersects powerfully with Dr. LL's work on misinterpretation risk.
👤 Guest
Karim Toubba CEO, LastPass Cybersecurity executive with nearly three decades of industry experience
⚠️ Core Problems
🥡 Practical Takeaways ⏱️ Timestamps 🔖 Who This Episode Is For
The Founder Trap: Why Your Business Isn't Growing Even When You're Working Harder with Charles Gaudet
Season 6 · Episode 75
Tuesday, September 1, 2026 • Duration 39:26
S6:E75
What if getting more customers actually made your business worse?
That's the paradox Charles Gaudet sees repeatedly.
A founder builds a business through hard work, referrals and personal relationships. Success arrives. More customers come in. Employees are hired.
Yet instead of gaining freedom, the founder becomes the hub through which nearly everything still has to pass.
Queue up this episode of Small Business Stories as Charles Gaudet, CEO of Predictable Profits, explains what he calls the Founder's Trap and why adding more leads, sales or people can deepen it instead of solving it.
Charles describes the founder not as someone sitting neatly at the top of an organizational chart, but stuck in the middle of it: chief rainmaker, best closer, decision-maker, client contact and firefighter.
And that leads to a larger diagnostic problem.
If people don't trust your business to operate without you, growth becomes harder to sustain.
If buyers don't understand your unique advantage, more traffic won't necessarily improve conversion.
And if you misdiagnose the problem, AI can efficiently give you an answer to the wrong question.
That last point creates an especially interesting intersection with Dr. LL's work on misinterpretation risk: sometimes the signal isn't unclear because the answer is bad. It's unclear because we've misunderstood the problem we're trying to solve.
👤 Guest
Charles Gaudet CEO, Predictable Profits Business growth advisor and creator of the Founder's Trap framework
⚠️ Core Problems
Founders becoming indispensable to daily operations
🥡 Practical Takeaways ⏱️ Timestamps 🔖 Who This Episode Is For
• Entrepreneurs becoming emotionally attached to companies that may no longer support their goals
• Scaling while facing regulatory, operational, and financial complexity
• Building consistency when results and market conditions aren't predictable
• Separating personal identity from objective business performance
• Using faith and service as guiding principles through uncertainty
• Financial literacy can reveal options that assumptions hide.
• Growth requires more than determination; infrastructure, resources, and repeatable systems matter.
• Ask measurable questions: Are you profitable? Growing? Retaining talent? Creating value?
• Past investment doesn't automatically justify continuing the same model.
• Trust has to be rebuilt through evidence, particularly in industries carrying historical skepticism.
• Consistency and adaptation aren't opposites.
• Service can provide a durable organizing principle beyond short-term revenue.
04:39 Financial literacy and the possibility of homeownership 06:11 Why Joseph sees ownership as more than an asset 10:52 Innovation and building for growth 13:14 Why the mortgage industry has a perception problem 15:39 Faith as Joseph's foundation through volatility 17:11 "I'm just a servant": Joseph's philosophy of service 18:35 The questions struggling owners need to confront 20:09 What Joseph wants his legacy to mean 21:41 Education as the first step toward changing financial trajectory
Entrepreneurs navigating uncertainty, founders struggling to separate their identity from the company they've built, and business owners thinking seriously about what sustainable growth requires.
At STEERus, we see Ownership Blind Spot as one way misinterpretation risk begins inside the business. When identity, history, and investment overpower contradictory evidence, the signals owners send outward can stop matching the reality customers, employees, partners, and increasingly AI encounter.
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• Starting with an advertising tactic instead of a business objective
• Optimizing for cheap traffic rather than valuable customers
• Feeding automated systems incomplete or incorrect conversion signals
• Trusting platform dashboards without examining what the numbers actually represent
• Different systems producing conflicting versions of performance
• Attribution becoming more complicated across AI search, organic search, social, and paid channels
• DIY AI advertising removing too much human judgment from the process
• Start with the outcome: what does the business actually need the advertising to accomplish?
• Cheap clicks aren't necessarily good clicks; algorithms optimize for what you ask them to optimize.
• Validate what a "conversion" actually represents before treating it as success.
• Establish one source of truth for the business outcome that matters.
• Revenue and profit are not interchangeable measures of advertising success.
• Omnichannel attribution is complicated, but small businesses don't need perfect modeling before they begin measuring.
• Automation works best when strong data signals are paired with human oversight.
• AI-generated understanding that is mostly correct can still miss the nuance that differentiates the right customer from the wrong one.
01:10 Why "we need ads" is the wrong starting point 03:12 How PPC shifted from manual targeting to automation 04:51 When to trust the algorithm and when not to 07:13 Why advertising automation lives or dies on data 09:38 Rebuilding trust after businesses have been burned by agencies 13:24 Garbage in, garbage out: Andy's data-science lesson 16:07 Amplifying weak signals with more marketing 17:24 The metrics that actually matter 20:36 What's a realistic return on ad spend? 23:33 AI search, omnichannel discovery, and attribution 26:17 Why DIY AI still needs business strategy 29:09 The 20% AI gets wrong
Founders and small business owners who want to understand whether their advertising is producing real business value rather than simply producing attractive dashboard metrics.
At STEERus, we see False Signal Confidence as an increasingly consequential form of misinterpretation risk. A signal doesn't become trustworthy simply because it is measurable and once AI begins acting on a misunderstood signal, the error can become faster, cheaper, and easier to scale.
Subscribe and share Small Business Stories for grounded conversations about entrepreneurship, visibility, leadership, AI, and making better business decisions.
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AI-generated content that strips away authentic voice
Spending more on promotion before diagnosing an interpretation problem
Recognition comes before persuasion: customers first need to see themselves in your message.
Niching enables self-selection and can reduce wasted sales and marketing effort.
Customers need to understand what you do quickly.
Differentiation can come from understanding what customers actually care about—not simply claiming superior quality.
AI can help refine thinking, but it cannot substitute for understanding the customer.
Customer interpretation ultimately matters more than the message the company believes it delivered.
03:16 Why businesses resist narrowing their audience 04:25 Recognition: getting customers to say "that's me" 08:09 The curse of proximity 10:32 Clarity versus cleverness 12:24 AI search and business interpretation 14:42 Recognition, perception and projection 16:55 Storybuilding versus storytelling 19:46 The consequences of marketing misinterpretation 21:41 AI slop and disappearing authenticity 25:04 Interpretation versus promotion 26:28 Dr. LL's interpretation-promotion-connection triangle
Business owners, founders, marketers and consultants who suspect that their problem isn't simply reaching more people—it's helping the right people understand them.
At STEERus, this is the heart of misinterpretation risk: what a business intends to communicate and what humans or AI systems actually understand are not necessarily the same thing. Closing that gap creates signal clarity.
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Automating the customer experience without considering customer preferences
Focusing exclusively on AI-related job losses while overlooking small businesses growing because of AI
Preserving culture while transforming a long-established business
AI adoption doesn't have to equal headcount reduction.
Start with the humans and identify where technology can remove friction from their work.
Some complex processes become economically possible for small businesses because AI can supplement human capabilities.
Transparency matters when customers interact with AI.
Human empathy still carries a signal technology cannot perfectly reproduce: another person actually understands what you're experiencing.
Employee trust comes before customer trust.
Nathan believes AI may ultimately allow humans to spend more time with one another—not less.
01:32 Why the telephone and humans still matter 04:41 Culture as the foundation of customer service 08:04 AI, solopreneurship and the future of small business 09:24 Bringing AI into a human-first company 11:54 What genuine empathy actually looks like 12:46 Can AI ever replicate empathy? 14:00 Starting AI transformation with humans 15:15 "Nobody lost their job" 16:00 Could AI actually bring humans closer together? 16:45 Trust and the first principle of AI adoption 18:21 Nathan's "Stop Firing Humans" campaign
Founders and small business leaders who know they need to use AI but don't believe becoming more technologically capable requires becoming less human.
At STEERus, this connects to a recurring Efficiency-Trust Tradeoff. Misinterpretation risk can emerge when a business optimizes an experience so aggressively that customers begin receiving a different signal than leadership intended: you're a transaction to process rather than a person to understand.
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Start with the business outcome, not the advertising metric.
Google's interpretation of your business increasingly depends on signals beyond the keyword you're buying.
A website needs to be ready before paid traffic arrives.
The sales and follow-up system must also be ready.
Don't continually reset AI-driven campaigns before enough data accumulates.
A 10% click-through rate is meaningless if nobody takes the action the business needs.
More marketing can amplify an underlying positioning or conversion problem rather than solve it.
02:25 The biggest Google Ads changes John has seen in 16 years 05:43 When AI misunderstands what a business actually offers 08:00 Why clicks don't necessarily produce business 17:42 The messaging mismatch behind failed advertising 19:29 Why John will tell businesses they aren't ready for ads 21:59 Getting beyond vanity metrics 23:45 Why you shouldn't constantly change AI-driven campaigns 25:15 Interpretation problem or traffic problem? 27:23 The metric John ultimately cares about
Entrepreneurs and small business owners who are paying for traffic but aren't seeing enough revenue from it, especially those wondering whether to spend even more on advertising.
At STEERus, this connects to a recurring Signal-to-Sale Gap. Misinterpretation risk doesn't end when someone discovers a business. If an ad creates one expectation, a website creates another and the experience supplies still another, increased visibility can actually scale confusion rather than eliminate it.
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AI can enable what an organization already does well, but it can also expose what isn't working.
Tullio identifies friction as the enemy of business; diagnose friction before adding technology.
Collaboration, autonomy and information flow matter more in an AI-accelerated environment.
Don't mistake being busy or adding technology for meaningful transformation.
Tullio identifies four human needs behind engaged cultures: belonging, meaning, impact and becoming.
As automation increases, leaders should invest more deeply in empathy and purpose.
Customer experience reflects internal organizational design more than many leaders realize.
Before refining external messaging, ask whether the organization actually practices what it promises.
01:19 Where businesses are in the AI adoption cycle 03:16 AI reveals what kind of company you really are 06:30 Why AI amplifies organizational dysfunction 08:31 Friction, silos and Tullio's Empath IQ framework 10:26 Busy isn't the same as making progress 14:36 The leadership skills an AI economy requires 18:31 AI exposes leadership weaknesses 21:42 Empathy and purpose won't go out of style 25:04 The question every CEO should ask before scaling AI
Founders, CEOs and leaders implementing AI who suspect that the hardest part of transformation isn't choosing the technology—it's preparing the organization using it.
At STEERus, we see the resulting Promise-Practice Gap as a form of misinterpretation risk. When marketing says one thing while employees, customers, systems and digital evidence demonstrate another, outsiders receive conflicting signals about what the organization actually is. AI doesn't create that contradiction, but it can make the contradiction harder to hide.
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Once investors enter the company, the founder's role and obligations change.
01:20 AI's effect on the 2026 venture-capital landscape 09:25 Why 99% of businesses shouldn't think about VC 14:11 Funding itself as a market signal 17:28 Why the "best" investor isn't necessarily the biggest check 20:04 What founders misunderstand about boards 26:44 How narrative and momentum influence investment decisions 28:16 Vijay's four-part Funding Framework 30:32 When NOT to raise capital
Founders considering outside capital, first-time startup CEOs, entrepreneurs preparing for institutional investors and anyone trying to understand what actually happens after the pitch deck.
At STEERus, this conversation connects to a recurring misinterpretation problem: highly visible signals can become proxies for underlying value. Funding, awards, follower counts, credentials and even AI visibility can strengthen credibility but problems begin when the proxy becomes easier to see than the substance it's supposed to represent.
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Trust erosion after a public organizational failure
Employees adopting unsanctioned SaaS and AI applications
Sensitive information being uploaded into AI systems
AI accelerating the volume and sophistication of malicious sites
Organizations confusing a security product with a secure culture
Make security easier to practice; complexity undermines adoption.
Passkeys and biometrics can reduce dependence on traditional passwords.
Treat every piece of information uploaded to an outside platform as something that could potentially become exposed.
Understand both what AI tools employees are using and how they're using them.
Cybersecurity requires technology, investment and culture not merely software.
After trust is damaged, acknowledge what went wrong and provide evidence of what changed.
Participate in third-party conversations about your company rather than assuming your owned communications control the narrative.
Begin thinking beyond human identity: AI agents will also require identities, permissions and access controls.
03:20 Passkeys, biometrics and the future beyond passwords 08:14 Rebuilding trust after the LastPass breach 13:00 What Karim says LastPass got wrong about communication 20:03 Dr. LL's Invisibility Decoder lens and hidden digital risks 21:45 AI adoption and the new small-business security problem 23:53 AI is dramatically accelerating malicious websites 27:36 Leading a company with a perpetual target on its back 36:01 How do customers distinguish security from reassurance?
Entrepreneurs, SMB leaders and executives trying to balance AI adoption, cybersecurity, employee behavior and customer trust without becoming paralyzed by the complexity.
At STEERus, we see a related Trust Blind Spot across industries: organizations frequently assess their credibility from what they know internally while customers, search systems and AI interpret them from the evidence available externally. Trust cannot simply be asserted. The signals supporting it have to be visible, consistent and credible.
Subscribe and share Small Business Stories for thoughtful conversations with leaders navigating the increasingly complicated relationship between technology, trust and business growth.
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More sales creating more work rather than more freedom
Confusing fast growth with predictable growth
Chasing "shiny penny" strategies and AI tools
Hiring people and then micromanaging them
Diagnosing symptoms instead of underlying constraints
Messaging that doesn't connect with the right buyer
Growth isn't always about doing more. At certain stages, it requires doing less but doing it in the right order.
Don't assume "more leads" is the answer simply because lead generation is the visible problem.
Hire people who are better than you at the role you're hiring them to perform.
Sustainable businesses require systems, appropriate KPIs and the right people in the right seats.
Move beyond a theoretical ICP as real customer data accumulates.
Ask what unique advantage you provide not merely what makes you unique.
AI is a tool. Without sufficient context to ask the right question, its answer can reinforce a faulty diagnosis.
Identify and remove constraints before spending more money trying to force additional growth.
01:13 Hard work, fast growth and the myths founders inherit 03:27 What the Founder's Trap actually looks like 10:37 Why founders struggle to let go 14:03 The danger of "shiny penny" strategies 25:23 AI, expertise and asking the wrong question 29:25 Message-market match and the "super consumer" 32:06 Stop turning up the spigot—find the kink in the hose
Founder-led businesses that have achieved traction but are finding that each new level of growth creates more complexity, more founder involvement and less freedom.
At STEERus, we see an adjacent problem in Symptom Fixing: businesses frequently describe the problem they can see rather than the condition actually creating it. That distinction matters even more as AI becomes a decision partner, because AI can accelerate an incorrect diagnosis just as efficiently as a correct one. Clearer inputs begin with clearer understanding.
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FYI Charles Guadet (here) and John Abrams (former guest) are describing two sides of the same founder problem. John asks, "Can the business survive without you?" Charles asks, "Can the business grow without everything flowing through you?"
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