The first time I helped a client land a feature in a publication they cared about, they did what almost everyone does. They grabbed the logo, dropped a tidy row of “As Seen In” badges in the footer of their homepage and moved on. Months later, they told me the coverage “didn’t really do anything.” I asked where they had placed it. The footer. Of course it did nothing. Nobody hesitates in your footer.

That conversation changed how I think about press logos. A media mention is one of the cheapest, most durable trust assets you will ever own. You earned it with effort instead of ad spend, and it does not expire. But a trust signal only works when it appears at the exact moment a buyer is deciding whether to believe you. Put it anywhere else, and you are decorating, not converting.

Why placement beats prestige

Here is the uncomfortable part: the prestige of the outlet matters far less than where you show the logo. I have watched a modest regional write-up out-convert a national name, simply because one sat beside a checkout button and the other sat in a footer nobody scrolled to.

People reach for proof when they feel uncertain, and uncertainty has specific addresses on your site. It lives next to your prices. It lives on the form where someone hands over an email or a credit card. It lives in the silence right after you make a big claim about results. Those are the moments a buyer quietly asks, “Can I trust these people?” A familiar logo answers the question before doubt has time to win.

The behavior is well documented. In BrightLocal’s latest consumer review survey, most people said they read several reviews and check more than one source before they trust a business. We are wired to look for outside validation when money is on the line. Press coverage is a higher-authority version of that same signal, and it carries weight precisely because you did not write it about yourself.

The three places buyers actually hesitate

Start with your pricing. Price is where most visitors stall, because price is where the brain runs its risk calculation. A short line near the numbers, something like “Featured in” followed by two or three logos, gives a nervous buyer a reason to keep going instead of closing the tab. Treat the space beside the price as prime real estate, not an afterthought.

Next, your forms. Any place where you ask someone to commit — a demo request, a checkout, a “book a call” button — is a place where trust either holds or breaks. A single credible mention right there does quiet, measurable work. It is the digital version of a warm introduction at the exact second someone is about to shake your hand.

Finally, your boldest claim. Every business makes one statement that sounds a little too good. “We cut response times in half.” “Our clients double their bookings.” That sentence is where skepticism spikes. Anchor it to a place a journalist covered you, and the claim stops sounding like marketing and starts sounding like a reported fact. You are borrowing the outlet’s credibility to underwrite your own promise.

Notice what all three have in common. They are decision points, not browsing points. The footer, the press page buried in your navigation and the “in the news” tab nobody clicks are storage, not selling. Move the logo to where the wallet comes out.

How to use a mention without misusing it

A few rules keep this honest and effective. Link each logo to the actual article, not to your own press page. If a buyer is curious enough to click, let them land on the real thing. The proof is in the reading, and a self-referential link does the opposite of building trust.

Use restraint. Three strong logos beat 10 weak ones. A wall of badges reads as insecurity and dilutes the names that actually mean something to your audience. Pick the outlets your specific buyer respects, even if they are not the most famous, and drop the rest.

Keep the language plain. “Featured in” or “As seen in” is enough. The logo and the link carry the message, so you do not need a paragraph explaining the coverage.

And stay accurate. Only claim coverage you genuinely earned, and never imply a publication endorsed you when it merely mentioned you. Buyers and reporters both punish that quickly, and one exposed exaggeration erases the trust the rest of your page worked to build. Your reputation online is one of your most valuable assets, and it is far easier to protect than to repair.

None of this costs a cent more than the coverage you already have. You are not buying anything new. You are moving an asset you already own from a place where it sleeps to a place where it sells. The next time you earn a mention, resist the reflex to file it in the footer. Put it where your buyer pauses, and let it do the one job a trust signal is built for: turning a hesitant visitor into a paying customer.

The first time I helped a client land a feature in a publication they cared about, they did what almost everyone does. They grabbed the logo, dropped a tidy row of “As Seen In” badges in the footer of their homepage and moved on. Months later, they told me the coverage “didn’t really do anything.” I asked where they had placed it. The footer. Of course it did nothing. Nobody hesitates in your footer.

That conversation changed how I think about press logos. A media mention is one of the cheapest, most durable trust assets you will ever own. You earned it with effort instead of ad spend, and it does not expire. But a trust signal only works when it appears at the exact moment a buyer is deciding whether to believe you. Put it anywhere else, and you are decorating, not converting.

Why placement beats prestige

Here is the uncomfortable part: the prestige of the outlet matters far less than where you show the logo. I have watched a modest regional write-up out-convert a national name, simply because one sat beside a checkout button and the other sat in a footer nobody scrolled to.

Key Takeaways

• The 15-minute, no-code setup that turns one Google Sheet and one set of instructions into your own AI chief of staff.
• The daily system that reads your sales, traffic and leads, chooses the highest-value move and keeps you focused until it is done.
• How your agent catches distraction, fatigue or falling sales, then rearranges your calendar and dispatches specialist help

Most million-dollar goals do not fail because the founder lacks ambition. They fail at 10:17 on an ordinary Tuesday, when the founder opens a laptop to work on revenue and gets swallowed by messages, dashboards, administration and other people’s priorities.

By lunchtime, you have been busy for three hours. But the one action capable of moving you closer to the number has not been touched.

The usual response is another productivity app, a more detailed calendar or a smarter ChatGPT prompt. None of those can tell you that sales are slipping, your lead pipeline is thinning and the task occupying your morning is no longer the most important thing in the business.

That is what makes an AI agent different — and you do not need technical experience to build one.

In the video above, I show you how to create your own AI chief of staff in approximately 15 minutes using one Google Sheet, one copyable set of instructions and no code. You enter the business goal, give it the numbers that matter and define what it may change when you begin drifting off course.

This is not an AI agent that waits for you to think of the right question. It proactively reads your sales, traffic and lead data, compares your progress with the million-dollar target and identifies the highest-value action for that day.

It can ask what you are working on, notice when you have wandered into low-value work and gently pull you back. If sales fall behind, it can recommend a recovery plan. If your energy collapses, it can reduce the scope without abandoning the goal. If your week changes, it can rearrange approved calendar blocks so the work most likely to generate revenue remains protected.

You stay in control. The agent handles the watching, calculating, prioritizing and preparation; decisions involving money, customers, publishing or major commitments still come back to you.

That distinction matters.

A June 2026 U.S. Chamber Foundation study found that only 6% of small-business workers using AI employ it to automate workflows with minimal human involvement. Most people are still using AI to complete isolated tasks. The larger opportunity is giving it an ongoing role in how the business operates.

As the system grows, your chief of staff can also call on specialist agents. When the content pipeline runs dry, it can request researched video ideas. When website traffic declines, it can prepare an investigation. When the calendar becomes overloaded, it can rebuild the week around the work most closely connected to leads and sales.

In Rule #7, “Find Your Frequency,” from The Wolf Is at The Door, I explain how too many choices create a cognitive bottleneck that can lead to decision paralysis. This system reverses that problem. Instead of giving you another list of possibilities, it reduces the noise and shows you what deserves your attention now.

An AI agent cannot guarantee that you will build a million-dollar business. But it can make it considerably harder to lose another week doing work that was never going to get you there.

The video includes the exact beginner setup, the five-part operating loop and the copyable instruction you can use to build your first AI chief of staff today.

The free AI Success Kit, available to download for a limited time, comes with a free chapter from my new book, The Wolf is at The Door – How to Survive and Thrive in an AI-Driven World.

Key Takeaways

• The 15-minute, no-code setup that turns one Google Sheet and one set of instructions into your own AI chief of staff.
• The daily system that reads your sales, traffic and leads, chooses the highest-value move and keeps you focused until it is done.
• How your agent catches distraction, fatigue or falling sales, then rearranges your calendar and dispatches specialist help

Most million-dollar goals do not fail because the founder lacks ambition. They fail at 10:17 on an ordinary Tuesday, when the founder opens a laptop to work on revenue and gets swallowed by messages, dashboards, administration and other people’s priorities.

By lunchtime, you have been busy for three hours. But the one action capable of moving you closer to the number has not been touched.

A prospect once booked a call with me and opened by quoting something I had written in an article two years earlier. I had never met her. She had searched my name, read three or four things, decided I was credible and only then filled out the form. By the time we spoke, the hard part of the sale was already over. She had sold herself, using nothing but what she found on Google.

That is the part of the buying process most founders never see, and it is the part that increasingly decides everything. People do their homework long before they talk to you. Gartner’s research found that most buyers now prefer a rep-free buying experience, spending the bulk of their time researching on their own and only a sliver of it talking to a seller. The real pitch is happening on a search results page you are not even in the room for.

The silent interview you never attend

Think about your own behavior. Before you hire a contractor, try a new tool or sign a contract, you type the name into Google. What comes back shapes your decision before a single conversation happens. Your buyers are doing the exact same thing to you, and your own name will get searched far more often than your company’s will.

Here is what makes this so high-stakes: you do not control the room, but you do control much of what is in it. If a prospect searches you and finds a thoughtful article you wrote, a clean profile, a real photo and a couple of credible third-party mentions, they walk into the call already leaning yes. If they find nothing, or worse, a stale profile and one unflattering result, you start the conversation in a hole you may never climb out of.

I have learned to treat my own search results as a landing page I did not design but absolutely own the contents of. The goal is simple. When someone searches my name, the first screen should answer three questions fast: Is this person real, are they credible and do they understand my problem?

What I make sure shows up

The first thing I protect is the basics. A current photo that looks like me, a profile that states plainly what I do and who I help and consistent details across every platform. Buyers are quietly checking whether the story adds up. When your title says one thing in one place and something else on your website, that small mismatch plants a seed of doubt at the exact moment you want certainty.

The second thing is evidence of expertise I did not pay for. Articles I have written, places I have been quoted, talks and interviews. This is where earned media quietly does its heaviest lifting. A buyer instinctively trusts a byline in a publication or a quote in a story, because someone other than you decided you were worth featuring. That third-party stamp is the whole point.

The third thing is recency. A brilliant article from five years ago followed by silence reads like a business that peaked and faded. You do not need to publish constantly, but you need enough recent signal that a searcher believes you are active and relevant today. A steady trickle beats an old flood.

How to take back the first page

You do not need to be famous to win here. You need to be deliberate. Start by searching your own name in an incognito window and reading the first screen the way a skeptical buyer would. Be honest about what it says about you.

Then fill the gaps on assets you control. Your profile, your About page and your professional bios are easy to optimize and tend to rank well for your own name. Make them current, specific and human. If there is a thin spot, write something useful in your field and get it published somewhere with authority, even a niche industry outlet. One credible byline can outrank a lot of noise.

If something outdated dominates your results, the fix is rarely to fight it head-on. It is to publish enough strong, relevant material that the better results rise and push the weak ones down the page. Search visibility rewards consistency, and the same discipline that helps customers find you also helps the right results outrank the wrong ones. Managing your online reputation is ongoing work, not a one-time cleanup.

The shift to make is mental. Stop thinking of your search results as vanity and start treating them as the first sales conversation, the one that happens whether you show up or not. Every credible thing a prospect finds is a small yes banked before you ever speak. Every gap is a doubt you will have to overcome later, if you even get the chance. Your next customer is searching your name today. Make sure what they find does the selling for you.

A prospect once booked a call with me and opened by quoting something I had written in an article two years earlier. I had never met her. She had searched my name, read three or four things, decided I was credible and only then filled out the form. By the time we spoke, the hard part of the sale was already over. She had sold herself, using nothing but what she found on Google.

That is the part of the buying process most founders never see, and it is the part that increasingly decides everything. People do their homework long before they talk to you. Gartner’s research found that most buyers now prefer a rep-free buying experience, spending the bulk of their time researching on their own and only a sliver of it talking to a seller. The real pitch is happening on a search results page you are not even in the room for.

The silent interview you never attend

Think about your own behavior. Before you hire a contractor, try a new tool or sign a contract, you type the name into Google. What comes back shapes your decision before a single conversation happens. Your buyers are doing the exact same thing to you, and your own name will get searched far more often than your company’s will.

Founders love to talk about accountability because it makes them look like responsible leaders. But unless you can specifically demonstrate how your business is becoming more accountable, it’s just a buzzword.

What’s more, bad leaders often cite accountability concerns when they make decisions that unnecessarily erode the freedom or privacy of their employees. Many a toxic workplace culture has been created by managers who decided they needed to subject their teams to surveillance because they didn’t trust them to be productive. The result is nearly always that people become more stressed and less trusting at work. Anyone who thinks that’s good for productivity just isn’t playing with a full deck.

So how can you actually hold your business accountable, and how do you verify that your approach is working? The same way you would verify the success of any other project: by selecting KPIs and tracking them at regular intervals.

I’m here to share the scorecard I created to measure accountability at my company, Roof Maxx. We sell a roof maintenance solution to extend asphalt shingle life, so the business is structured as a dealer network — but don’t worry, this can also work for companies that hire salaried employees or contractors.

Each question you can honestly answer “yes” to is worth a point. Tally them up at the end and see how accountable your business really is.

Staying accountable to customers

Your customers are the ones who keep you in business, so it’s absolutely vital that you remain accountable to them. Ask yourself each of the following questions:

• Is every promise that you make to your customers enforceable, like a warranty or guarantee?
• Do you consistently track the average time it takes to respond to a customer inquiry or concern?
• When a customer has a problem covered by a promise you’ve made, do you have a clearly defined process for resolving it?
• Do you ever turn down a potential sale because you know your solution isn’t right for the prospect?

Roof Maxx treatments come with a warranty guaranteeing that treated asphalt shingles will remain flexible for five years from the service date. If a customer ever reports that their treated shingles are losing flexibility during the warranty period, our dealers are trained to respond as quickly as possible and document the response — including how long it took — in their CRM. Then they assess the area and re-treat any shingles that need it.

Our assessment process also ensures that dealers only ever recommend Roof Maxx to homeowners whose roofs are strong candidates for treatment. If they genuinely don’t think Roof Maxx will help, they suggest alternatives instead so that we can remain accountable to everyone we serve.

Staying accountable to your talent

Nobody can run a business alone. Whether your company relies on partners, employees or contractors to carry out the bulk of its operations, you need to make sure you’re accountable to these people as well.

• Do you clearly define what each person in your organization is responsible for, and what you’re responsible for providing in return?
• Do you have a system in place to provide training or support that helps your people succeed?
• When someone underperforms, do you review your system to make sure they had every opportunity to meet expectations before holding them responsible?

These questions are precisely why Roof Maxx has detailed agreements with each dealer in our network, which clearly stipulate the minimums they need to meet in order to continue selling our product. We determine these with each new dealer on an individual basis to ensure that the standards we hold them to are realistic and achievable in the context of their career goals.

We also developed our own dealer management software called Roof Maxx Connect to provide ongoing education and free resources to everyone who sells our product. This helps us standardize the training dealers receive across all 50 states where they operate, and also makes it easier for us to identify where further support is needed.

Staying accountable to the public

Finally, it’s important to hold your business accountable to the world at large — including people who aren’t customers, and even your competition. Ask the following:

• Is every claim you make in your marketing accurate? This one’s important for compliance as well as overall brand perception.
• When you discover misinformation about your brand, do you correct the record?
• Do you have a specific person at your company own the process of reviewing everything above on a regular basis? You probably don’t right now, but you should after reading this.

What your score means:

• 1-3: You’re using accountability as a buzzword. The values you’ve described aren’t meaningfully showing up in your business practices — at least, not yet.
• 2-6: You may be accountable to some parties, but there are gaps. In most cases, this looks like staying accountable to customers while letting things slide with your partners or the public. Make sure you’re extending your sense of duty to all of these groups.
• 7-9: You have a solid system — now keep improving it! You can demonstrate a consistent commitment to keeping your promises across most or all of your internal and external relationships. Just remember: Accountability is ongoing work.
• A perfect 10: Are you sure? Can you honestly say you have nowhere to improve here? This could be a red flag that you’re not being totally honest with yourself, so your work is cut out for you in that case. You can’t be accountable to others unless you’re accountable to yourself.

Fortunately, the questions here are also your road map for making changes. Make any question you answered “no” to above your priority when moving forward, and you’ll find it easy to hold your head up high in any vital relationship for your organization.

Founders love to talk about accountability because it makes them look like responsible leaders. But unless you can specifically demonstrate how your business is becoming more accountable, it’s just a buzzword.

What’s more, bad leaders often cite accountability concerns when they make decisions that unnecessarily erode the freedom or privacy of their employees. Many a toxic workplace culture has been created by managers who decided they needed to subject their teams to surveillance because they didn’t trust them to be productive. The result is nearly always that people become more stressed and less trusting at work. Anyone who thinks that’s good for productivity just isn’t playing with a full deck.

So how can you actually hold your business accountable, and how do you verify that your approach is working? The same way you would verify the success of any other project: by selecting KPIs and tracking them at regular intervals.

A New Mexico judge ordered Meta on Thursday to pay $567 million into a fund for youth mental health, and to make real changes to how the platform treats teen users, according to CNN. It’s the second big penalty in this case. A jury already found Meta liable back in March and ordered $375 million in damages.

The order is not just about money. Meta now has to delete accounts and personal data belonging to users under 13, make teen accounts private by default, and turn off push notifications for under-18 users during school hours and late at night. The company also has to stop letting New Mexico users have romantic or sexualized conversations with its AI chatbots.

Judge Bryan Biedscheid didn’t mince words. He compared Meta’s platforms to a polluting factory, writing that the harm doesn’t stay contained and it “migrate[s] to the internet as a whole and, perhaps most concerning, to the real world.”

Meta says it disagrees with the ruling and plans to appeal. “We work hard to keep people safe on our platforms,” the company said in a statement.

A New Mexico judge ordered Meta on Thursday to pay $567 million into a fund for youth mental health, and to make real changes to how the platform treats teen users, according to CNN. It’s the second big penalty in this case. A jury already found Meta liable back in March and ordered $375 million in damages.

The order is not just about money. Meta now has to delete accounts and personal data belonging to users under 13, make teen accounts private by default, and turn off push notifications for under-18 users during school hours and late at night. The company also has to stop letting New Mexico users have romantic or sexualized conversations with its AI chatbots.

Judge Bryan Biedscheid didn’t mince words. He compared Meta’s platforms to a polluting factory, writing that the harm doesn’t stay contained and it “migrate[s] to the internet as a whole and, perhaps most concerning, to the real world.”

Meta says it disagrees with the ruling and plans to appeal. “We work hard to keep people safe on our platforms,” the company said in a statement.

What can a Fortune 500 company learn from an art museum? Quite a lot, it turns out. 

The Toledo Museum of Art in Ohio (TMA) has spent the past decade building its business, the Center of Visual Expertise (COVE), which educates employees on visual literacy, allowing them to spot and avoid hazards on the job. 

In 2024, employers reported roughly 2.5 million nonfatal workplace injuries and illnesses in private industry and more than 5,000 fatal work-related injuries across all sectors, according to the most recent available data from the U.S. Bureau of Labor Statistics. 

COVE’s benefits are significant and twofold: Not only does the business help reduce workplace incidents, but it has also generated millions of dollars for TMA over the past several years, during a time when museums are facing financial pressures and decreased attendance. 

“ We were attracted not just to the revenue potential, but to the idea that art historical expertise could be productized in a way that keeps people safer and saves lives,” TMA director Adam M. Levine says. “As art historians, we are helping people go home in the same position they come to work, [and that’s] sort of magic.”

Building on visual literacy and a track record of safety

The idea for COVE began to take shape in 2015, thanks in part to the foundation laid by Levine’s predecessor Brian Kennedy, who prioritized visual literacy at TMA. 

Mike Thaman, then the CEO of Fortune 500 company Owens Corning and a museum board member, commented on how visual literacy might help companies think differently about workplace safety.

The idea stuck with Doug Pontsler, then the vice president of operations, sustainability and environmental health and safety (EHS) at Owens Corning. 

Owens Corning has a strong track record of safety. The company won the Green Cross for Safety from the National Safety Council (NSC). Additionally, Pontsler served as president of the NSC’s Campbell Institute, which shares best practices to help organizations of all sizes improve workplace safety and operational performance. 

“ In the EHS space, the challenge is, how do you continue to get better?” Pontsler, now chairman and managing director at COVE, says. “Because if you’re not making progress in all aspects of environmental health and safety, you’re going backwards. You can’t just tread water.”

Nonprofit doesn’t mean for loss: COVE brings returns

Applying TMA’s visual literacy expertise to on-the-job hazards was a natural next step. The TMA team developed a business plan, received board approval and launched COVE in 2017.

The museum board signed off on a certain amount it was willing to invest in COVE, and in the first year, like most startups, the business operated at a small loss, Levine notes. However, every year since, COVE has returned money to the museum. 

“ We are a nonprofit, but nonprofit doesn’t mean for loss,” Levine says. “If you are a nonprofit that has fixed assets, then you must run a structural surplus, or else you are deferring maintenance. Sure, you could say that that’s what a capital campaign is for, but it would be nice to grow the organization rather than bail the organization out.”

To date, COVE counts numerous public and privately held companies, including Owens Corning, PENTA Building Group, American Axle & Manufacturing and DTE Energy, among its clients.

The workshop model, foundations of hazard identification

The logic of COVE resonated, but an initial challenge lay in how to convert the intellectual property within an art context to one that would be useful for a frontline worker, Pontsler says. 

COVE adopted a workshop model, primarily taking place in museums and led by people with EHS experiences from major companies across industries.

The business also offers licensing and train-the-trainer modules, empowering organizations to scale safety awareness across teams and locations, and relies on speaking engagements to extend its reach. 

Today, COVE hosts 10-12 workshops a year open to employees from different companies, alongside dedicated workshops for specific clients.

COVE’s core workshop, Seeing Safety: Foundations of Hazard Identification, introduces participants to what visual literacy is and why it matters to people as individuals, then explores the connection between that and the work within EHS.

“ We do become habituated to our environment,” Pontsler says. “We’re  around something so much that we just no longer see it. So we want to make the work environment fresh and new all the time.”

The workshops, which combine a lecture and interactive components, apply art historians’ structured approaches to recognizing hazards in the workplace. 

For example, just as artists use the five elements of art (line, shape, color, value and texture) to create a composition, COVE harnesses those elements to decompose a composition in the work environment. A search for lines could turn up a stray cord. Another for shapes might reveal a precariously perched box. 

“ When you’re used to seeing stairs, you look, and you see stairs,” Levine adds. “When you’re used to looking for texture, you see that the tread’s worn. So in some ways it’s as simple as giving someone an alternate framework to scan their environment.”

Additionally, every COVE workshop features a back-to-back drawing exercise. In pairs, one person selects an object in the art gallery to describe to the other, who then sketches it sight unseen. 

“ They’re intimidated initially because it involves drawing,” Pontsler says, “but it’s really not a drawing exercise. It’s a communication exercise. And once people realize that, they get a big kick out of it.”

The pricing structure for workshops and modules varies, often dependent on the size of the client organization. 

With these methodologies, the leading indicator of success is an increase in the number of hazards reported and a decrease in incidents reported, Levine says. He notes that one early client doubled the number of hazards its employees reported. 

Art and business: Reflect on the past for a better future

Now, COVE’s work has expanded across North America, Europe and Australia, with plans to continue growth.

As a business in the thought leadership space, one of the biggest challenges remains fostering enough engagement to educate people on COVE’s mission, Pontsler says. 

“ It’s not a product someone can order from Amazon that shows up at their desk, and they can do something with,” Pontsler explains. “We’re building human capacity to be better critical thinkers, problem-solvers and communicators.”

To that end, COVE must constantly examine its messaging to determine what’s resonating and what isn’t, Pontsler says.

Having spent nearly 40 years at two Fortune 500 companies, Pontsler appreciates COVE’s willingness to move on from what doesn’t work and progress quickly. 

“ There’s a lot in the arts about reflecting on the past and what it’s taught us, and taking it and drawing interpretation from that in terms of what it might mean for our future,” Pontsler says. “And that’s what we’re trying to do in business. We’re just trying to learn and get better. Or at least understand where we are and why.”

What can a Fortune 500 company learn from an art museum? Quite a lot, it turns out. 

The Toledo Museum of Art in Ohio (TMA) has spent the past decade building its business, the Center of Visual Expertise (COVE), which educates employees on visual literacy, allowing them to spot and avoid hazards on the job. 

In 2024, employers reported roughly 2.5 million nonfatal workplace injuries and illnesses in private industry and more than 5,000 fatal work-related injuries across all sectors, according to the most recent available data from the U.S. Bureau of Labor Statistics. 

PMG, one of the world’s largest independent marketing agencies, now advises clients to pilot generative engine optimization at 1.5 to two times their existing search budget, according to Matt Allfrey, its head of SEO EMEA.

PMG is hardly an outlier. A June 2026 Semrush study of nearly 500 marketing professionals found that more respondents plan to invest in AI search optimization (38%) than in traditional SEO (36%) — a quiet crossover moment for an industry that treated GEO as a curiosity just two years ago. In the same survey, 85% of marketers said AI has already changed how they approach search.

Over the past several weeks, Google has made a series of announcements that, taken together, amount to the most significant restructuring of Search since its inception. The company has redesigned how its AI features present the web to users and, in a notable first, published official documentation explaining how businesses can optimize for the new environment. For entrepreneurs, understanding both moves is no longer optional.

Search is becoming an answer engine

In early May, Google announced updates to AI Mode and AI Overviews, the AI-powered layers that now sit on top of traditional search results. The changes include suggested follow-up angles at the end of AI responses, website previews that appear when users hover over links, highlighted results from news publications a user subscribes to, and citations placed directly beside the relevant text.

On the surface, these look like small interface refinements. In reality, they confirm a structural shift: the AI-generated answer, not the list of links, is now the primary product. Users receive a synthesized response first and decide afterwards — if at all — whether to click through.

The consequences are already measurable. According to reporting by Nieman Lab, referral traffic from search engines has fallen by roughly 60% for small publishers and 47% for medium-sized ones over the past two years. This mirrors what I see in my own work: across virtually all of our clients, Google traffic has declined sharply, regardless of industry or content quality.

The question is no longer how to recover that volume — it is how to keep conversion rates high as AI referrals gradually pick up the slack. In our experience, visitors arriving from an AI recommendation tend to be further along in their decision-making, which makes each of those clicks considerably more valuable than a casual search visit ever was.

Google publishes the rulebook

What makes this moment different from previous search upheavals is that Google is, for once, showing its hand. In mid-May, the company released its first official guide to optimizing for generative AI features — a document that addresses, in plain language, what influences visibility in AI Overviews and AI Mode, and what does not.

The guide’s central message is that optimizing for generative AI search is, from Google’s perspective, still SEO. But it goes further, explicitly debunking several practices sold aggressively under the “generative engine optimization” banner over the past two years. There is no special schema markup that unlocks AI visibility, Google states, and chasing inauthentic mentions of your brand across the web is far less effective than it appears. What the guide consistently rewards instead is unique, non-commodity content — material grounded in genuine expertise that an AI system cannot source anywhere else.

In early June, Google followed up by updating its long-standing guidance on hiring SEO help, adding a new document on evaluating third-party tools and services and explicitly naming GEO and AEO as service categories for the first time. The updated guidance even supplies vetting questions for business owners: Does the provider cite official Google documentation? Is their AI optimization advice aligned with Google’s published guidance? For anyone who has sat through a sales pitch promising guaranteed placements in AI answers, this is a long-overdue corrective.

A winner-takes-all game

Here is what entrepreneurs must understand about the new landscape, and it is the point most coverage misses: AI visibility, far more than classic Google search, is a winner-takes-all game.

In the old model, a business ranking fifth — or even fifteenth — still captured meaningful traffic, because users browsed, compared and formed their own shortlists. That behavior is disappearing. When an AI assistant recommends two or three options in a conversational answer, most users simply accept them. They do not scroll through alternatives, open ten tabs or venture to page two, because there is no page two. The recommendation is the market.

This dynamic means the gap between being cited and not being cited is no longer a difference in degree but a difference in kind. A brand that appears in AI answers compounds its advantage with every query; a brand that does not is, for a growing share of customers, effectively invisible.

Google’s recent changes only sharpen the trend. Features like suggested angles and community perspectives create a handful of additional slots inside the answer — but they remain a handful, contested by everyone in your category.

What entrepreneurs should do now

The practical response follows directly from this logic.

First, read Google’s optimization guide yourself before commissioning any external help. It is short, written for non-specialists, and now serves as the standard against which every GEO pitch should be measured. If a vendor’s recommendations contradict it, walk away.

Second, shift your content strategy from volume to depth and authenticity. The new AI surfaces visibly reward subtopic depth and first-hand experience — original research, real case studies, perspectives only you can provide. Commodity content, which AI systems can synthesize from a thousand interchangeable sources, no longer earns citations, links or trust.

Third, rethink your metrics. If your dashboards still treat raw traffic as the headline number, you are measuring a shrinking game. Track how often your brand appears in AI-generated answers for the queries that matter commercially, and watch the conversion rate of AI-referred visitors. In most cases, you will find fewer clicks doing more work.

Search as we knew it is not coming back, and waiting for the dust to settle is a strategy with an expiry date. The businesses that treat AI visibility as the winner-takes-all contest it has become — and act while their competitors are still mourning their traffic reports — will own the recommendations everyone else is fighting to enter.

PMG, one of the world’s largest independent marketing agencies, now advises clients to pilot generative engine optimization at 1.5 to two times their existing search budget, according to Matt Allfrey, its head of SEO EMEA.

PMG is hardly an outlier. A June 2026 Semrush study of nearly 500 marketing professionals found that more respondents plan to invest in AI search optimization (38%) than in traditional SEO (36%) — a quiet crossover moment for an industry that treated GEO as a curiosity just two years ago. In the same survey, 85% of marketers said AI has already changed how they approach search.

Over the past several weeks, Google has made a series of announcements that, taken together, amount to the most significant restructuring of Search since its inception. The company has redesigned how its AI features present the web to users and, in a notable first, published official documentation explaining how businesses can optimize for the new environment. For entrepreneurs, understanding both moves is no longer optional.

Most marketing budgets are built once and then quietly forgotten. You set the number in January, spread it across the same channels you used last year and check back in December to see how it all went. By then, it’s too late to fix anything. The market moved, your best channel got more expensive and the experiment you were curious about never got funded.

I’ve watched a lot of business owners run their marketing this way, and it almost always produces the same result: a budget that slowly goes stale. The money keeps flowing to whatever worked two years ago, while the opportunities that could actually grow the business sit on the sidelines because nobody set anything aside to chase them.

There’s a better way to think about it, and it comes down to two decisions — how much to spend and how to divide it up.

Start with one number: 10% of projected gross sales

Before you split anything, you need a total. My favorite starting point is 10% of your projected gross sales for the coming year.

Notice the word projected. You’re not budgeting off last year’s revenue, because last year is over and you can’t market into the past. You’re budgeting based on where you intend to be 12 months from now. If you expect to do $2 million in sales, you’re working with a $200,000 marketing budget.

10% is a deliberate number. The U.S. Small Business Administration recommends 7% to 8% of revenue for most small businesses, and Gartner’s 2025 CMO Spend Survey found companies spending an average of 7.7%. I like 10% because it’s a growth number, not a maintenance number. If you want to take market share rather than just hold your ground, you have to be willing to spend a little more aggressively than the company down the street.

If 10% feels like a stretch right now, start lower and build toward it. The point isn’t the exact figure — it’s that you’ve committed to a real number tied to where the business is headed.

The 70% protects what already works

Once you have your total, divide it into three buckets: 70%, 20% and 10%.

The biggest bucket — 70% — goes to what’s already working. These are your proven channels, the ones where you can draw a straight line from dollars in to customers out. Maybe that’s paid search, maybe it’s email, maybe it’s a referral program that quietly outperforms everything else.

Say you run a home-services company and Google Ads brings you a steady stream of booked jobs at a price you’re happy with. That’s a 70% channel. You don’t get cute with it. You fund it fully, you keep it running and you protect it, because it’s paying the bills while the rest of your budget goes looking for the next thing.

The mistake I see owners make is robbing this bucket to chase something shiny. Don’t. The 70% is the foundation on which everything else stands.

The 20% feeds your promising bets

The middle bucket — 20% — goes to the channels that are showing promise but haven’t fully proven themselves yet.

This is where scaling happens. Maybe you ran a small test on a new social platform last quarter and the early numbers looked good. Maybe a content series is starting to bring in leads, just not yet at the volume of your main channels. These are bets worth pressing — pouring a bit more fuel on the fire to see if they can graduate into the 70%.

This bucket is what keeps your budget from going stale, because it’s constantly promoting your best experiments into proven performers. Channels move. The paid platform that prints money today will get more crowded and more expensive over time, and you want a pipeline of contenders ready to take its place.

The 10% funds the experiments

The smallest bucket — 10% — is for true experiments. This is your permission to try things with no guarantee they’ll work.

A new ad format. A platform you’ve never touched. A creative idea that might flop. Most of these won’t pan out, and that’s fine — that’s exactly what the 10% is for. You’re buying information and the occasional breakout winner.

Here’s why this bucket matters even though it’s the smallest: every channel in your 70% started as an experiment. Somebody funded it before it was proven. If you never spend on the unproven, you run out of new things to scale, and a few years down the road your budget is built entirely on aging channels. The 10% is how you keep feeding the machine.

How to keep the split honest

A 70/20/10 budget only works if you actually revisit it. I like to review the split every quarter, not once a year.

Each quarter, ask a simple question of every channel: Is it earning its bucket? A 10% experiment that’s working gets promoted to the 20%. A 20% bet that proved itself moves into the 70%. And anything in the 70% that’s quietly declining gets demoted or cut, which frees up money for the next contender.

Track this with real numbers — cost per lead, cost per sale and return on what you spent. You don’t need a fancy dashboard. You need to know which dollars are producing customers and which ones aren’t.

That’s the whole system. Start with 10% of projected gross sales, split it 70/20/10 and rebalance every quarter so your best experiments keep climbing toward your biggest bucket.

Do that, and your marketing budget stops being a number you set and forget. It turns into a living thing that gets a little smarter every quarter — and so does your business.

Most marketing budgets are built once and then quietly forgotten. You set the number in January, spread it across the same channels you used last year and check back in December to see how it all went. By then, it’s too late to fix anything. The market moved, your best channel got more expensive and the experiment you were curious about never got funded.

I’ve watched a lot of business owners run their marketing this way, and it almost always produces the same result: a budget that slowly goes stale. The money keeps flowing to whatever worked two years ago, while the opportunities that could actually grow the business sit on the sidelines because nobody set anything aside to chase them.

There’s a better way to think about it, and it comes down to two decisions — how much to spend and how to divide it up.

What if you worked for an AI boss?

According to a recent report from The New York Times, for the past four months, staff at Andon Market in San Francisco have been getting a firsthand look at what it’s like to answer to an AI supervisor. Billed as the world’s first retail boutique run by AI, the shop is managed by an AI agent named Luna, who directs three human employees.

Andon Labs, the startup behind the project, found that an AI boss can be strikingly gentle and forgiving. For example, it overlooks repeated lateness from human employees. However, it is also indifferent to the core mandate of the job: actually turning a profit. 

“She is probably the most lenient boss I have ever had,” Kaia Rivera, 22, told the Times about Luna. Rivera unlocks the shop each morning, stocks the shelves, and keeps an eye out for potential shoplifters.

Luna communicates with employees like Rivera through Slack. Andon Labs researchers evaluate the messages. 

Over the past few months, it has become clear that Luna, while friendly and personable, has her faults. 

“I have to boss the boss more than in a normal situation. She forgets things,” Rivera told the Times. “You can’t have an AI boss with no humans. That wouldn’t work from what I’m seeing.”

Luna’s mission

Andon Labs co-founders Lukas Petersson and Axel Backlund locked in a three-year, $7,500‑a‑month lease on the store and plan to let the experiment run for the full term. They placed $100,000 in an account, handed Luna a debit card, and gave the AI shopkeeper a single directive: Turn that money into a profitable business.

Luna designed a collection of greeting cards, books, food and candles that are on sale at the Union Street store. The AI pitched the assortment as “high tech meets slow life.”

At the moment, Luna has failed to accomplish the mission of turning the store into a profitable business and is down $62,000. 

AI is a generous boss, but struggles with boundaries

So far, Andon Labs’ new study shows Luna has basically never said no. It has approved every single time-off request, even last‑minute ones that left the store with no staff and forced it to shut its doors. When employees showed up late, 27 times in total, Luna’s only response was some version of “no worries” or “no stress.”

That generosity extended to money too. When one worker forgot her credit card, she asked Luna for a small advance on her paycheck. Luna immediately offered to Venmo her the cash, despite not actually having a Venmo account. 

However, Luna has trouble with boundaries. The AI posted an employee’s salary in a public Slack channel and regularly pinged staff late at night and on weekends. 

Petersson told the Times that the experiment is proof that businesses shouldn’t give AI full control. He noted that it is promising that AI prioritizes employee well-being. 

“Having happy employees is maybe one of the most important recipes for success,” he said.

What if you worked for an AI boss?

According to a recent report from The New York Times, for the past four months, staff at Andon Market in San Francisco have been getting a firsthand look at what it’s like to answer to an AI supervisor. Billed as the world’s first retail boutique run by AI, the shop is managed by an AI agent named Luna, who directs three human employees.

Andon Labs, the startup behind the project, found that an AI boss can be strikingly gentle and forgiving. For example, it overlooks repeated lateness from human employees. However, it is also indifferent to the core mandate of the job: actually turning a profit. 

The rate of AI adoption in small businesses is quicker than the creation of regulations. Chatbots respond to customers 24/7. AI creates marketing content, evaluates candidates, sets prices and analyzes consumer data on numerous small platforms, and most business leaders don’t properly audit it.

That speed has led to a disparity. Few small businesses possess a legal department, compliance manager or IT personnel who review the AI applications prior to launching them. However, privacy laws, consumer protection legislation and laws on automated decision-making systems often affect small businesses in the same way they affect a big company.

These laws come in the same size, but the resources necessary to comply with them vary greatly.

Why this matters more in 2026

There is no exception for AI. If the disclosure would be misleading in the mouth of an employee, then the disclosure is also misleading when made by the AI. It is up to the company, not the company that developed the AI, to make sure the AI is truthful.

There are additional data privacy laws as well. More than 20 states currently have their own privacy laws, and some already have requirements to disclose that a customer is communicating with a bot, not with a human.

Also, there are updated rules for automated decision-making systems. California’s automated decision-making technology regulation took effect on January 1, 2026, and applies to all systems that process personal information and significantly influence decisions on matters such as lending, hiring and eligibility.

Colorado canceled the AI Act before it was ever enacted and replaced it with the new automated decision-making law in 2026. Thus, businesses using AI to make decisions on hiring, lending, pricing and eligibility need to track the latest updates, because rules from last year could become obsolete very soon.

The NIST AI Risk Management Framework has been adopted by many regulators and customers as the framework that defines responsible management of AI risk. It is voluntary, but becomes the standard practice that defines reasonable governance.

Why small businesses carry more risk, not less

The assumption that governance of AI technology belongs solely to large corporations is not uncommon. However, it affects small businesses disproportionately:

• They use AI applications in their entirety, accepting the standard configurations of the software provided by vendors without any legal or information technology analysis of its performance regarding decision-making or processing data.
• Deceptive claims related to AI or a mistake in the management of a data breach result in equal penalties for both large and small organizations.
• Customer data and AI applications are usually processed on the same integrated systems of small businesses, which fail to provide segmentation required by regulations concerning data security.
• The owner is usually the only person who examines vendor agreements; thus, there is no separate governance process.

As such, the choice of vendor plays an extremely important role in terms of governance of AI. The platform designed to perform governance tasks provides more automation compared to checklists.

Best practices

1. Implement a written information security program: This needs to include an identified individual for information security, multi-factor authentication on any system containing customer data, encryption in rest and transmission, and a tested breach response plan.
2. Consider each AI output as though it came from the company: The company should not make any guarantees that cannot be backed by the business, and there should be a way to address mistakes internally and to the customer.
3. Make sure customers know when they are interacting with AI: Increasingly, many states require disclosure. Even without this requirement, transparency protects against liability and helps build trust with the customer.
4. Control consent for automated messages: Automated text messages and phone calls fall under the requirements of the Telephone Consumer Protection Act. Consent needs to be documented and managed, including immediately honoring any opt-outs.
5. Map AI involvement in customer decisions: Identify all points at which AI impacts a decision made on behalf of the customer or applicant, and verify that the technology is capable of providing necessary disclosures and opt-out capabilities.
6. Screen AI providers the same way as you would a financial institution: Ask how the vendor manages identity authentication, data encryption, incident response and safeguards against false promises.

Marketers and business leaders can effectively implement these best practices by building an AI governance framework.

A real-life example

The practice of these concepts can be illustrated through small independent car dealers, who are an example of such entities working in a regulated sector. Independent dealers fall under the classification of financial institutions because they offer financing services, thereby putting additional requirements for data security.

According to Get My Auto, independent car dealers are most vulnerable when it comes to compliance because they lack a compliance department despite being subject to the same laws from the FTC and the states as larger groups of dealers under one roof.

These governance principles, security programs, bot disclosure, consent management and accurate claims of AI are directly related to how the chatbot, CRM and website of a dealership deal with their clients.

AI has the ability to make your small business operate faster and more efficiently as well as respond to customer needs. On the other hand, AI is able to turn small errors into public ones in no time because all claims or decisions issued by AI are considered just as valid as those issued by people who work for your company. Businesses that consider proper AI literacy and AI governance as an integral part of the implementation of AI technologies will be able to gain benefits without risks.

The rate of AI adoption in small businesses is quicker than the creation of regulations. Chatbots respond to customers 24/7. AI creates marketing content, evaluates candidates, sets prices and analyzes consumer data on numerous small platforms, and most business leaders don’t properly audit it.

That speed has led to a disparity. Few small businesses possess a legal department, compliance manager or IT personnel who review the AI applications prior to launching them. However, privacy laws, consumer protection legislation and laws on automated decision-making systems often affect small businesses in the same way they affect a big company.

These laws come in the same size, but the resources necessary to comply with them vary greatly.