Small Business Stories

S6:E87

Overall, small business sales are growing. So why do so many owners still feeling the squeeze?

The answer is hiding underneath the headline.

Matan Bar, CEO of Xero U.S., joins Dr. LL to unpack what Xero's U.S. Small Business Insights data reveals when you look beyond one encouraging number: sales may be improving, but businesses are also contending with rising costs, longer waits for payment, geographic differences, and a financial picture that varies dramatically depending on what kind of business you actually operate.

This isn't simply a conversation about accounting.

It's about interpretation.

If people don't trust the numbers, they can't confidently make decisions from them.

If a headline accurately reports one measure while obscuring several others, the conclusion can still be wrong.

And if AI can slice, summarize, and visualize enormous amounts of data, the ability to understand what that information actually means becomes more important, not less.

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.

Matan Bar CEO, Xero U.S. Small business technology, payments, financial operations, and AI

• Why improving sales don't necessarily indicate improving business health

• Longer payment cycles and the pressure they create on small-business cash flow

• The tension between businesses wanting to get paid quickly while preserving their own cash as long as possible

• How outdated payment systems add unnecessary friction

• Why national averages obscure substantial geographic and industry differences

• Whether AI will widen the productivity gap between large and small businesses

• The risk of having more data without correctly interpreting what it means

• Business health requires looking beyond sales to cash flow, costs, payment timing, and the circumstances of the individual business.

• Faster payment technology can benefit both sides by allowing payers to hold cash longer while still delivering payment on time.

• Geographic differences may reflect the industry mix and business characteristics inside each region rather than geography alone.

• Small businesses may adopt AI differently from enterprises because limited budgets force them to focus on demonstrated value.

• Matan believes AI ultimately has the potential to give small businesses capabilities once reserved for much larger companies.

• Better dashboards don't automatically produce better decisions; interpretation remains essential.

• For financial decisions where accuracy matters enormously, Matan argues for keeping knowledgeable humans in the loop.

02:25 The encouraging small-business headline and what it misses 05:02 Are small businesses actually underperforming? 07:48 New businesses, AI, and changing economic averages 11:49 Why businesses are waiting longer to get paid 14:10 The overlooked problem of non-payment 17:20 Are generous payment terms hurting small businesses? 23:27 Why faster payments can actually mean holding cash longer 24:19 State-by-state differences hidden inside national averages 29:14 Could AI create a productivity divide? 30:15 Why Matan thinks AI will level the playing field 34:41 Dr. LL introduces misinterpretation risk 36:11 Matan on "accountable intelligence" and human judgment 39:09 What Matan wishes every small business owner knew

Small business owners, entrepreneurs, advisors, accountants, and leaders trying to make sense of what economic headlines, financial data, and AI actually mean for the decisions they need to make.

At STEERus, Data Distortion is one expression of misinterpretation risk: information can be factually correct while the conclusion drawn from it is incomplete or wrong. Increasing the volume of information doesn't solve that problem; businesses need clearer signals and better interpretation.

Subscribe and share Small Business Stories for grounded conversations about entrepreneurship, visibility, leadership, AI, and what business owners are actually experiencing behind the headlines.

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#entrepreneurship #smallbusiness #podcast #CEO #cashflow #money #finance

S6:E86

Entrepreneurship culture gives enormous attention to innovation, technology, and businesses that sound impressive. Mark Regan built something very different: a recurring-revenue company around a simple problem many people do not want to solve themselves.

In this episode of Small Business Stories, Mark and Dr. LL unpack what it actually takes to turn an unglamorous idea into a durable service business from pricing and route density to customer retention, franchising, and the unexpected challenge of getting AI to understand what kind of business you actually are.

If people don't understand what you do, they may underestimate its value. If AI doesn't understand what you do, you may never surface when someone is looking for it.

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.

Mark Regan Co-founder, Poop Away Service-business operations, recurring revenue, customer retention, and franchising

• Looking past viable businesses because they lack status or glamour • Mistaking revenue for profitability without understanding the operating math • Getting categorized incorrectly when a business crosses traditional industry boundaries

• Start with a problem people genuinely want solved. • Recurring revenue only works when the operating economics work. • Customer trust can become a competitive advantage even in a seemingly transactional service. • In the AI-search era, business categorization is becoming part of business strategy.

03:15 — "Who would pay for that?" becomes a business 07:35 — The operating mistakes Mark wishes they had avoided 11:29 — Customer service as a retention strategy 21:16 — The operator mindset required for franchising 23:27 — Misinterpretation risk meets AI search

Entrepreneurs searching for realistic business opportunities, service-business owners trying to build recurring revenue, and founders whose businesses do not fit comfortably inside one familiar category.

At STEERus, we study what happens when the value is real, but the signals people and machines use to interpret that value are not clear enough.

Subscribe to Small Business Stories for more real-world conversations about what it actually takes to build, operate, and sustain a business and share this episode with an entrepreneur who may be overlooking the opportunity right in front of them.

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#entrepreneurship #smallbusiness #podcast #dogs

S6:E85

People experience your leadership long before you make a formal leadership decision.

It's in how you enter a room. How you react when you're stressed. Whether you acknowledge someone. The story you tell. The difficult interaction you choose not to pass along to the next person.

Lisa Even calls it the ripple effect: everything we say and do creates one, whether we're consciously choosing it or not.

In this episode, Lisa and Dr. LL explore intentional leadership, workplace culture, experimentation, small moments of human connection, and why impact doesn't have to be enormous to become meaningful.

If people don't trust what version of you is going to walk into the room, they start preparing for you.

If employees repeatedly experience something different from the leadership values an organization claims, those interactions become more credible than the words.

And if we're unaware of the signals we're continually sending, other people are left to interpret them for themselves.

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.

Lisa Even Founder, Lisa Even International Leadership, workplace culture, intentional impact, and keynote speaking

• How stress and chaos affect the energy leaders bring into interactions

• Why employees remember small experiences that leaders may barely notice

• The difficulty of influencing people when you may never see the downstream outcome

• Leading different people as individuals rather than using one leadership approach for everyone

• Perfectionism preventing leaders and entrepreneurs from testing new approaches

• Passivity creating outcomes leaders never consciously chose

• Assuming meaningful impact requires a grand gesture

• Everything you say and do creates a ripple, even when you never see where it travels.

• Stories can make abstract leadership principles easier for people to remember and apply.

• Small experiments give entrepreneurs permission to learn without needing perfection.

• Different employees may require different questions, communication styles, and approaches.

• Intentional leadership doesn't guarantee outcomes, but it makes those outcomes less accidental.

• Small interactions can become disproportionately memorable.

• Think of your energy like weather: people may already be preparing themselves for what you bring into the room.

01:34 What "ripple effect" actually means 04:08 The coffee-shop encounter that illustrates how behavior travels 07:15 Choosing your impact even when you never see the result 09:32 How to gently interrupt someone's negative ripple 15:53 Why Lisa treats business like a laboratory 17:21 Different people require different leadership experiments 18:35 Intentional versus accidental leadership 19:56 What happens when leaders become passive about outcomes 23:24 Mr. Dale and the tiny interaction Lisa's family remembered 26:32 Lisa's "weather" experiment for leaders

Leaders, managers, entrepreneurs, and business owners who want to create stronger relationships and healthier cultures without turning leadership into another overwhelming initiative.

At STEERus, we see Accidental Signaling as a recurring source of misinterpretation risk. Organizations carefully manage what they intend to communicate, but trust is often formed through hundreds of smaller signals nobody thought to manage at all.

Subscribe and share Small Business Stories for grounded conversations about entrepreneurship, leadership, visibility, trust, and building businesses people can understand.

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#entrepreneurship #smallbusiness #podcast #leadership #personalbranding

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.

Katrena Friel Founder, Becoming the Expert Expert positioning, personal branding, business ecosystems, and entrepreneurship

• 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

• 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.

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

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.

Subscribe and share Small Business Stories for thoughtful conversations about entrepreneurship, visibility, leadership, AI, and building businesses people can understand and trust.

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#entrepreneurship #smallbusiness #podcast #AI #mentorship

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.

Joseph Shalaby Founder, eMortgage Capital Mortgage lending, entrepreneurship, financial literacy, and business growth

• Homeownership feeling increasingly out of reach for many consumers

• The long-standing trust and perception problem surrounding the mortgage industry

• 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.

Subscribe and share Small Business Stories for grounded conversations about entrepreneurship, visibility, leadership, AI, and the realities behind building something that lasts.

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#entrepreneurship #smallbusiness #podcast #businessgrowth #scaling #finance

S6:E82

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.

Andy Janaitis Founder, PPC Pitbulls Data scientist turned PPC strategist specializing in paid advertising performance

• 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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#entrepreneurship #smallbusiness #podcast #advertising #ppc #Googleads

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.

John Elbing Founder, Standpoint Creator of Storybuilding Marketing strategist focused on customer-centered communication

• Founder-centric rather than customer-centric messaging
• Trying to appeal to everyone
• Explaining features before establishing relevance
• Confusing differentiation with cleverness
• 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.

Subscribe and share Small Business Stories for grounded conversations about entrepreneurship, visibility, leadership, AI and the realities of building a business people can understand and trust.

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Twitter: https://x.com/steerus_io

#entrepreneurship #smallbusiness #podcast #marketing #digitalmarketing

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.

Nathan Strum Founder, Abbey Connect Customer service, human receptionist services, culture and AI integration

• Treating human replacement as the default objective of AI adoption
• Confusing simulated empathy with human connection
• Introducing automation without communicating with employees
• 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.

Subscribe and share Small Business Stories for thoughtful conversations about entrepreneurship, AI, leadership, trust and building businesses people can understand.

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#entrepreneurship #smallbusiness #podcast #AI #customerservice

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.

John Coleman Sanders Founder, RevKey Google Ads, paid acquisition and measurable business growth

• 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

• 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.

Subscribe and share Small Business Stories for grounded conversations about entrepreneurship, visibility, leadership and growth.

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#entrepreneurship #smallbusiness #podcast #GoogleAds #advertising #digitalmarketing

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.

Tullio Siragusa Founder, Inventrica Advisory AI transformation, leadership, organizational design and decision architecture

• 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

• 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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