When every opportunity is possible, knowing what deserves your investment becomes the strategy.

We've spent the last several issues of Selection Economy talking about how buyers choose. How they discover businesses, evaluate alternatives, decide whom to trust, and increasingly use AI to help them make those decisions.

But there's another side to selection that deserves just as much attention: the choices we make about what to bring to market, which customers to pursue, and where to invest our finite time, money, and attention.

Every decision to pursue an opportunity is also a decision not to pursue something else. That's the fundamental economic reality of building a business, and it's becoming more consequential as AI expands the number of things we can conceivably do.

Today, we can build a website in an afternoon, develop new products faster, create marketing campaigns with a fraction of the resources they once required, and test ideas that would previously have been too expensive to consider. The cost of execution is falling, and the menu of opportunities is growing.

But our time isn't expanding. Neither is our capital.

The ability to do more doesn't necessarily make choosing easier. It makes choosing well more important.

The problem with being good at solving problems

I'm a very good problem solver. It's one of the reasons I became an entrepreneur, and it's what I enjoy most about advising business owners.

Company not yet profitable? Grow revenue, reduce fixed costs, improve margins. Supplier not delivering? Find another one. Product not selling? Reconsider the price point, the merchandising mix, or the customer you're trying to reach.

There's almost always another move to make, and sometimes finding it is precisely what separates the businesses that succeed from those that don't.

I founded DMOS Pro Shovel Tools, an outdoor equipment company that developed award-winning products used by customers ranging from Navy SEALs to Toyota. It took us years to get the economics right, but we were getting there. We'd improved our margins, found better suppliers, refined our product mix, and right-sized most of our costs. We still had an expensive warehouse lease to work through, but the business was approaching the point we'd worked so hard to reach.

We were making it.

Then interest rates rose, and the cost of financing our inventory changed dramatically. After years of solving operational problems, we could no longer afford the working capital required to keep the business moving.

Ultimately, we completed a generous asset sale to a third-generation, family-owned business with deep experience in sporting goods and automotive accessories. Given how close we'd come to the edge, it was an extraordinary outcome.

Would I have been better off letting go earlier? I still don't know.

Some of the best business stories ever told include a chapter in which the founder keeps finding another way through until, finally, the breakthrough arrives. While you're standing on that razor's edge, however, you don't know which story you're in.

Are you one problem away from the breakthrough, or one problem past the point when you should have stopped?

The next investment is a new decision

The temptation is to evaluate a business, product, or strategy by how much we've already invested in it. But the money is spent, and the time has passed. Neither can be recovered by continuing.

The relevant question is what the next investment is likely to produce.

Would another $50,000 in advertising generate profitable customers? Would another six months developing a product materially improve its prospects? Is the market still attractive? Have the assumptions changed? What else could we do with those same resources?

This is where the time value of money and opportunity cost become very real.

An investment doesn't merely have to produce a return. It has to justify the time, capital, and risk involved relative to the alternatives available. A promising business may still be a poor use of resources if another opportunity offers a better risk-adjusted return.

And the cost isn't always financial. Founders invest years of their lives, professional reputations, relationships, and identities in the businesses they build. Those commitments matter, even when they don't appear on a balance sheet.

I don't regret the persistence that brought DMOS as far as it went. Our progress was real. But the experience made me appreciate how difficult it is to distinguish a business worth fighting for from one whose economics have fundamentally changed.

AI makes selection a leadership discipline

This is where the conversation returns to the Selection Economy.

Buyers are becoming more selective, with AI making it easier to research and compare alternatives. At the same time, businesses have more ways than ever to create products, develop offers, reach customers, and experiment with new markets.

That creates an interesting paradox.

As execution becomes easier, the risk of spending resources on the wrong things may actually increase.

You can launch an offer quickly without establishing that anyone wants it. You can produce a remarkable volume of marketing without making a compelling argument for why someone should choose you. You can pursue a dozen opportunities simultaneously and discover that none received the attention necessary to become a meaningful business.

The competitive advantage isn't simply the ability to produce more.

It's knowing what deserves to be produced, for whom, and why.

For the founders and business owners reading this, I'd suggest three questions worth asking before making your next meaningful investment:

If I weren't already invested in this product, business, or strategy, would I choose it again today?

Have the underlying economics changed, or am I simply in the difficult middle of something that still has real potential?

What am I choosing not to do by continuing to invest here?

None of these questions guarantees the right decision. The future is uncertain, and sometimes the unconventional founder who persists against the odds is exactly the one who succeeds.

But the questions force us to consider the alternatives rather than simply continue doing what we know how to do.

And that, increasingly, is what strategy requires.

Choosing is the work

The Selection Economy operates in both directions. Buyers decide what deserves their money, and businesses decide what deserves their investment.

AI is changing the mechanics of both decisions, but it hasn't eliminated the need for judgment. If anything, it has made judgment more valuable.

As the cost of doing things falls, the opportunity cost of choosing the wrong things may become our most consequential expense.

The question isn't only whether you can make something work. It's whether making it work is still the best choice available to you.

I'm curious how other founders and operators approach this. Have you ever faced a decision where persistence and sound capital allocation seemed to point in opposite directions? How did you decide whether to keep investing or move on?

I'd love to hear what you learned.

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Your next customer could be asking AI whom to hire. Does your business make the shortlist?

That's the question I'm building my advisory and marketing agency around.

Some days I love what I'm building. Other days I think, "This sucks, and I should quit/get a job/hide from my friends."

This is me saying this. A person who's been said to have "no quit."

I've spent my career in strategy, product marketing, and business development. I've had four exits, including my own as a founder. I've spent millions on Meta and Google ads, and I know what it feels like to watch money leave an account faster than customers arrive.

Paid ads have their place. I use them for clients. But I'm tired of watching business owners "pay the man" without getting a return.

The promised land? Someone describes exactly what they need, and your business is recommended. A multi-day guided trip through Utah. An aesthetics practice on Maui. A strategic advisor who can actually implement the plan.

I want my clients in those answers.

Getting them there starts with something surprisingly basic. Can the systems making the recommendation read your website?

What you see on your screen isn't necessarily what a crawler can access. Service descriptions, credentials, and customer reviews that make your business worth considering may be hard for some search and AI systems to find.

Here are a few things worth checking:

Important copy that loads only through JavaScript in the browser, without a server-rendered or prerendered version.

Menus, pricing, or service descriptions available only as images.

Essential information inside third-party widgets, with no readable version on your own pages.

Content fetched only after someone clicks a tab or "load more."

Information you want discovered sitting behind a login.

Videos without accompanying text.

Hosting or security settings that block the search crawlers you want to reach.

These are things to inspect, not automatic disqualifiers. Having a booking widget or using JavaScript doesn't make your whole site invisible. But "it looks great on my phone" is not a discoverability test.

Sometimes the fix is straightforward. Sometimes rebuilding the site is the better option.

That's part of what I do: rebuild websites so people can understand why they should choose you, and search and AI systems can access the information that supports that choice.

With AI agents helping me build, I can move unbelievably fast. My years in strategy and marketing guide what we say, what we build, and what we ask a prospective customer to do next.

I love this part. I can take a business problem, work out the strategy, and actually build the thing. For someone who has spent her career getting things done, that's deeply satisfying.

Then the website launches. And the work continues.

Being readable doesn't automatically make you worth recommending. Your site needs to answer the questions your buyers ask. It needs to explain who you serve, what you offer, and why you're a good fit. Your claims need evidence.

The information elsewhere matters, too. Reviews. Relevant directories. Coverage in publications your industry respects. What sources come up when you research your category, and does your business have a presence there?

This is where strategy, content, and PR connect with the technical work.

The measurement is imperfect. We can track referral traffic from ChatGPT and resulting inquiries when tracking is in place. We can't reliably see every recommendation that influenced someone before they searched your name or picked up the phone.

I can identify barriers, improve the information available about a business, and track what changes. I can't guarantee that an AI will recommend it.

And this is where running the agency gets hard.

I'm explaining to business owners why a website they already paid for may need to be rebuilt. Why launching it doesn't mean they're finished. Why the reputation they've spent years earning may not come through when someone asks AI whom to hire.

I understand why they wish the answer were simpler. Some days, so do I.

I'm selling a service some people don't know they need, helping solve a problem they may not have noticed yet. And then I wonder why some days are hard.

The industry calls this GEO: generative engine optimization. You don't need to love the acronym. You do need to consider what happens when a prospective buyer asks for a recommendation, and your business isn't part of the answer.

That's the selection economy. A customer may be forming a shortlist before they ever visit your website.

I know how much work goes into building a business worth choosing. I want that work to count when someone asks, "Whom do you recommend?"

That's why I'm building this. Even on the days I want to hide from my friends.

Try this today. Ask ChatGPT or Claude, with web search enabled, to recommend a business like yours. Describe what your buyer needs—the service, location, and priorities—but leave your business name out.

Are you in the answer?

One answer isn't a verdict. But it's a useful place to start.

If you're missing, send me what you asked and what came back. Let's talk about how to make your business easier to find, and choose.

Until next time,

Susan Pieper

Founder, Claimed

Strategic Advisor & AI-Native Builder

susan@susanpieper.com

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Scroll LinkedIn for five minutes. Read five websites in any category. Everyone sounds the same now.

Same rhythm. Same "in today's fast-paced world." Same over-explaining. Same length: too long.

That's because most of it is written by the same few copywriters: ChatGPT, Claude, Gemini, Jasper, Copy.ai. They're excellent writers. They're also writing for everyone.

The result is a lot of copy and very little clarity. I call it clear as mud.

Here's what to do about it:

Be clear. Clear isn't more words. It's fewer, better ones. If it takes a paragraph to explain what you do, you haven't decided yet.

Be succinct. Force the choice. If a buyer could remember only one thing about you, what would it be? Everything else is noise until that's settled.

Be bold. Have a voice. Say something only you could say.

At DMOS Pro Shovel Tools, we sold a shovel. The most commodity product imaginable. We didn't write paragraphs about steel gauge. We wrote:

Folds like a butterfly. Digs like a beast. Make Mother Nature cry uncle. Your Excalibur with teeth.

We built a brand around that shovel, and earned customers including Toyota and the Navy SEALs.

AI can give you a hundred options. Deciding what your brand stands for, and which words earn their place, is your job. That's the work.

Your expertise deserves more than generic copy. If you're struggling to explain why customers should choose you, let's clarify your message and give them a reason.

Let's talk →

Susan Pieper

Founder, Claimed

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I returned two weeks ago from hiking the Walker's Haute Route through France and Switzerland, and it was amazing. Highly recommend! One of the hallmarks of a great vacation is how deeply you unplug — actually touching grass, off the group chats, off the deadlines. The downside is what's waiting when you get back. Business doesn't pause for you, and you come home to a tidal wave. That's why I missed sending this last week.

But this one's worth the wait — it packs a lot of punch for its size. You won't want to miss it.

Ask ChatGPT who's the best in your industry. If your name doesn't come up, you have a growth problem — and you need to do AI visibility website work.

For twenty years, if your website was losing ground, you could see it — rankings dropped, traffic charts dipped, you had a signal. That's not reliably true anymore.

AI search and traditional search now run as two genuinely separate systems, with different rules for who gets surfaced. Only about 14% of URLs and 22% of domains rank in both. You can hold your position in Google's results and still be quietly losing ground in the system a growing share of your buyers are actually using to decide.

Here's the simplest test: if your website was built before 2022, it wasn't built for this. Not because it's ugly or outdated — because the thing it needs to do didn't exist yet as a requirement when it was built. What happens next depends entirely on the size of your business.

Large enterprises are already on it.

A wave of SaaS companies has emerged specifically to help businesses assess, monitor, and grow their AI visibility. I use and recommend Brand Capsule — it's the tool I've built my own practice around for tracking this with clients. Enterprise is already treating this as a board-level metric, not a marketing afterthought.

Mid-sized companies are the most exposed, and least equipped.

This work isn't a design job or a marketing-manager job. It needs someone with the experience, confidence, and skill to run an actual strategic review — sharpen positioning, pricing, and ICP, not just refresh a template — and that's a full-time hire most mid-sized businesses can't justify. A large company has a CMO for this. A mid-sized one usually has neither the budget for that hire nor anyone senior enough in-house to do it themselves.

Small, expert-led businesses have the real opportunity — if they take it.

AI rewards clarity over scale. A specialist with genuine depth in a narrow category can out-rank a much bigger competitor, because the old rule — budget wins — doesn't hold here. But the site still has to actually say, clearly and specifically, what the expertise is and who it's for. Most don't. The opportunity is real. Almost nobody's taken it.

Whatever size you are, the underlying problem is the same: the thing that decides whether an AI system can confidently describe you is exactly the thing most businesses have never made precise. LLMs are less forgiving of fuzziness than a human ever was. A person browsing your site fills in the gaps, infers your positioning from vibes, gives you the benefit of the doubt. A model synthesizing an answer from thousands of sources doesn't extend that courtesy. It just moves on to whoever was clear.

For twenty years, your website was your handshake. Now it's your reference check — happening in a room you're not in, given by someone who's never met you.

Let's talk →

Talk soon,

Susan

Founder, Claimed

Shipping the brands, websites, and growth systems that help you get chosen by the right leads

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How do we use AI?

It's an important question.

I just don't think it's the most important one.

The reality is that AI tools are becoming widely available.

Your competitors have them.

Your customers have them.

Soon, the technology itself won't be the advantage.

The advantage will come from something much harder to copy.

Being understood.

When someone asks AI to recommend a business, it isn't simply rewarding the companies that use AI.

It's recommending the companies it understands.

The ones with clear positioning.

Consistent language.

Visible expertise.

A strong digital record.

Trust.

Technology is becoming abundant.

Meaning isn't.

That's why I believe the next competitive advantage isn't AI itself.

It's becoming the company that is easiest to understand—and easiest to recommend.

I think we're entering a new era of business.

Not one defined by who has the best technology.

But by who communicates their value most clearly.

The businesses that invest in clarity today will become easier to discover, easier to trust, and ultimately, easier to choose.

And I suspect we're only at the beginning.

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I don't think that's the right question.

AI can read your website.

It can summarize your expertise.

It can compare products, pricing, and services.

It can identify patterns across thousands of companies in seconds.

But there are still things it can't experience.

It can't sit across the table from someone whose judgment has been earned over decades.

It can't understand the confidence that comes from working with someone who consistently keeps their promises.

It can't measure integrity.

Or resilience.

Or character.

Those qualities still shape every important business decision.

In fact, I think they matter even more.

The opportunity for leaders isn't to replace those qualities with AI.

It's to make them easier to discover.

For years, much of a company's reputation lived in conversations.

Today, part of that reputation also lives in its digital presence.

The businesses that thrive won't simply have better technology.

They'll do a better job of making the invisible visible—through their ideas, their expertise, their customer stories, and the trust they've earned over time.

Technology can help us discover.

People still decide whom to trust.

And I suspect they always will.

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"What do you do?"

Almost every answer starts the same way.

"Well... it's a little complicated."

I understand the instinct. Businesses evolve. They serve different markets, solve different problems, and develop layers of expertise over time.

But complexity creates a hidden cost.

It makes your business harder to understand.

For years, that wasn't necessarily a problem. A prospective customer could ask follow-up questions. A salesperson could clarify. A founder could tell the story in person.

Today, that first conversation increasingly happens somewhere else.

An executive asks AI for recommendations.

An investor compares several companies.

A buyer wants a shortlist before reaching out.

Those systems don't have a follow-up conversation.

They summarize.

They compare.

They recommend.

The businesses that are easiest to understand increasingly become the easiest to recommend.

That doesn't mean you should oversimplify your business.

It means you should be intentional about explaining it.

Clarity isn't the opposite of sophistication.

It's the result of doing the hard work to make sophisticated ideas understandable.

I think that's becoming one of the most valuable strategic advantages a company can build.

Because AI can't confidently recommend what it doesn't confidently understand.

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I don't think that's true anymore.

Increasingly, AI forms an opinion about your company before someone ever lands on your homepage.

A prospective client asks ChatGPT who the best executive coach is.

An investor asks Claude to compare two companies.

A buyer asks Perplexity which agency to hire.

The website hasn't disappeared.

Its role has changed.

It has become the source material AI reads before making a recommendation.

That means your website isn't simply a marketing asset anymore.

It's your digital record.

And digital records have a way of becoming reality.

The businesses that win over the next decade won't necessarily have the prettiest websites.

They'll have the clearest ones.

Not because humans demand it.

Because AI does.

If AI described your company tomorrow, would it sound like your CEO—or like a website you wrote three years ago?

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This week, it happened while I was preparing a speech.

For the next several weeks, I'm working with executive speaking coach John Bates as I prepare for a local TED-style speaking event. John isn't just another communications coach. He's spoken on the TED stage three times, delivered five TEDx talks, coached speakers for more than 35 TEDx events, and continues to coach TED Fellows. Simply put, he's one of the best in the world at helping leaders communicate ideas that move people.

During one of our sessions, he mentioned something almost in passing.

His business is growing faster than ever because prospective clients are asking ChatGPT who the best executive speaking coaches are.

I smiled.

Not because I was surprised.

Because this is exactly what I've been writing about.

For months, I've argued that we're moving from the Search Economy to what I call the Selection Economy.

For nearly three decades, the internet rewarded businesses that could win attention. We learned SEO. We chased rankings. We optimized for clicks.

Today, something fundamentally different is happening.

People aren't just searching anymore.

They're asking.

"Who should I hire?"

"Who's the best?"

"Who do you trust?"

The answer no longer comes from ten blue links.

Increasingly, it comes from AI.

That changes everything.

John isn't winning because he discovered some clever AI hack.

He's winning because AI understands exactly who he is.

His authority is clear.

His expertise is well documented.

His positioning is consistent.

When someone asks ChatGPT who the best executive speaking coaches are, AI has enough confidence to recommend him.

That's a profound shift.

For years, businesses asked, "How do I get found?"

Today, the better question is:

When someone asks AI who they should trust, does your name come up?

That isn't an SEO problem.

It's an authority problem.

It's a positioning problem.

It's a clarity problem.

In many ways, it's exactly what John has spent his career teaching from the stage.

Great speakers aren't memorable because they're louder.

They're memorable because they're clear.

Because they create emotional connection.

Because they communicate one unmistakable idea.

It turns out businesses work the same way.

The companies AI recommends aren't necessarily the ones spending the most on advertising.

They're the ones whose expertise is easiest to understand.

Whose point of view is unmistakable.

Whose authority has been earned—and clearly expressed.

Watching this happen from the inside has been deeply validating.

For the past year, I've been helping businesses become more understandable—not just to customers, but to AI.

That's why we obsess over positioning.

Why we rewrite websites.

Why we clarify messaging.

Why we structure content so both humans and large language models immediately understand what a company does, who it serves, and why it's different.

This isn't about gaming AI.

It's about removing ambiguity.

Because AI cannot confidently recommend what it cannot confidently understand.

That's the Selection Economy.

The winners won't simply be the loudest brands.

They'll be the clearest.

The most trusted.

The easiest to explain.

AI doesn't create authority.

It reveals it.

Credit where it's due.

John, thank you for sharing your experience so openly—and for helping me become a better speaker. Listening to you describe how AI is changing buyer discovery in your own business was one of those rare moments when a theory becomes tangible.

If you've ever wanted to become a more compelling communicator, there's a reason so many leaders trust John to help them tell the stories that change careers, companies, and lives.

— Susan

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I let AI pick my hotel in the 3rd arrondissement of Paris.

My stay in Paris will be brief, but I want it to be the reward after I hike the Walker's Haute Route from Chamonix to Zermatt—137 miles and roughly 49,000 feet of elevation gain over 11 mountain passes.

After eleven days in the Alps, those two nights won't simply be a place to sleep. They'll be the luxury part of the experience.

Getting the hotel right is table stakes.

Who I'll be sharing those two days with raises the bar even higher.

My friend Connie will meet me there.

Connie and I met last summer through the Women's Entrepreneur Program at Kiln in Park City. We weren't networking. We weren't pitching each other. We simply kept showing up.

Month after month.

After each meeting, a group of us would wander over to Hill and Hearth for dinner. We'd talk about our businesses, our families, our travels, and whatever else was happening in our lives.

Somewhere around that dinner table, we stopped being fellow entrepreneurs and became friends.

Connie is a CEO and an internationally recognized design firm. She designs custom furniture, fixtures, and interiors for luxury hotels, resorts, senior living communities, and hospitality brands around the world. Beautiful spaces aren't just something she appreciates—they're what she creates.

Which meant choosing a hotel in Paris suddenly felt like more than a travel decision.

It felt like setting the stage for two days I'd been looking forward to for months.

So I started planning.

I wanted a boutique hotel. Not ultra-luxury, but not budget either. Somewhere walkable to the Marais. A real hotel with sophisticated design influences—not an Airbnb—because I need to ship a package there before I arrive.

Five years ago, I know exactly what I would have done.

Google.

Booking.com.

TripAdvisor.

Forty browser tabs.

Hundreds of reviews.

Analysis paralysis.

Instead, I opened ChatGPT.

I typed:

"Recommend a boutique hotel in the 3rd arrondissement. Refined rather than luxurious. I need a front desk that can receive a package before I arrive."

Within seconds, I had a thoughtful shortlist.

Not hundreds of options.

Three recommendations.

Each with a reason.

And that's when I realized something.

It wasn't just the technology that had changed.

It was me.

Five years ago, I trusted myself more than the machine.

Today, I trust the machine to do something I no longer want to do.

Somewhere along the way, AI crossed a threshold.

It stopped being a better search engine.

It became a capable decision partner.

Search helped me find information.

AI helped me make a decision.

That may sound like a subtle difference.

I don't think it is.

For nearly thirty years, the internet has been organized around search.

We searched.

We clicked.

We compared.

We decided.

Search reduced the cost of finding information.

AI is beginning to reduce the cost of judgment.

Instead of asking Google for links, we're asking AI for recommendations.

"Who's the best accountant for a founder-led business?"

"What's the best med spa in Maui?"

"Which vehicle camping platform should I buy?"

Those questions don't produce ten blue links.

They produce a recommendation.

I believe we're witnessing the biggest shift in how customers choose businesses since Google transformed how they found them.

We're moving from a Search Economy to a Selection Economy.

Businesses won't compete only to rank.

They'll compete to be understood.

Trusted.

And ultimately, recommended.

That doesn't mean SEO disappears.

Or websites.

Or content.

It means they all serve a different purpose.

The goal is no longer simply to attract a click.

It's to earn a recommendation.

But here's what surprised me even more as I planned those two days in Paris.

ChatGPT can help me choose a hotel.

It can't tell me where Connie's daughter celebrates birthdays.

It can't tell me which café has the perfect table tucked into the corner.

It can't tell me why the chocolate mousse is worth walking twenty minutes in the rain.

That comes from someone who knows.

Someone I trust.

And that's the paradox I keep coming back to.

As artificial intelligence becomes better at helping us make selections, authentic human relationships become even more valuable.

AI helps us narrow the field.

People help us experience the world.

Then I realized something else.

How did Connie become someone I trust enough to help shape two precious days in Paris?

Not because an algorithm recommended her.

Not because we had mutual followers.

Not because LinkedIn suggested we connect.

We met because we both kept showing up.

Month after month.

Conversation after conversation.

Dinner after dinner.

Trust wasn't built in a single meeting.

It was built by being present.

By listening.

By sharing our lives.

Those evenings at Kiln and Hill and Hearth eventually led to two friends meeting in Paris.

I don't think that's a coincidence.

I think it's a reminder.

Technology changes.

Human nature doesn't.

The internet was built for search.

AI is being built for selection.

But life is still built on trust.

And trust is still earned the old-fashioned way.

By showing up.

That's why I believe the businesses that thrive in the AI era won't simply have the best technology.

They'll be the businesses people trust enough to recommend—to one another and, increasingly, to AI.

And perhaps the same is true in our personal lives.

As information becomes abundant and recommendations become instantaneous, genuine human relationships become something even more valuable.

They become platinum.

Welcome to The Selection Economy.

I have a feeling we're going to be exploring this idea together for a long time.

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School. Business. Meetings. Big presentations.

Preparation has always been one of my strengths.

But there was one day in Jackson Hole when I got it completely wrong.

I had signed up for my Avalanche Level 1 course with Jackson Hole Mountain Guides. We met at the trailhead before heading into Grand Teton National Park for a long day in the backcountry.

Everyone else looked calm and dialed.

I did not.

I had bought my avalanche beacon the day before and was standing there trying to figure out how to put the batteries in.

My backcountry setup had never been tested. Instead of touring skis, I had decided to use foldable approach skis that I planned to carry on my backpack while snowboarding down. Between the snowboard, skis, bindings, and pack, I was carrying far more weight than anyone else.

While the group was ready to start climbing, I was still trying to assemble my equipment.

I wasn't incapable.

I wasn't inexperienced in the mountains.

I had simply shown up unprepared for the environment I was about to enter.

That memory came back to me this week because I think it's exactly where many founder-led businesses are today.

Not bad businesses.

Successful businesses.

Businesses with loyal customers, great products, and years of hard-earned experience.

They're simply arriving at a new trailhead carrying equipment designed for the last mountain.

For the last twenty years, the internet rewarded visibility.

If someone searched Google and found your website, you were in the game.

Search didn't reward clarity.

It didn't reward consistency.

It didn't reward trust.

It didn't even necessarily reward quality.

It rewarded being found.

You could have an outdated website.

A confusing value proposition.

Five different descriptions of what your company actually does.

An incomplete LinkedIn profile.

A brand that no longer reflected the business you had become.

And most of the time, it didn't matter.

Eventually, someone met you.

Eventually, they had a conversation with you.

Eventually, your experience, judgment, and credibility had a chance to shine through.

A human could rescue a weak digital first impression.

That is changing.

Increasingly, AI is making introductions before you ever enter the room.

Before a prospect schedules a meeting.

Before a recruiter reads your résumé.

Before an investor takes your call.

Before a customer visits your website.

AI is already reading, comparing, summarizing, and evaluating what it can learn about you.

It's looking for evidence.

It's looking for consistency.

It's looking for expertise.

It's looking for signals it can trust.

It's trying to answer a fundamentally different question than Google ever did.

Not: "Who exists?"

But: "Who should I recommend?"

That's the Selection Economy.

And it's why so many remarkable businesses are about to discover that their digital presence no longer reflects the quality of their real business.

Some of the most talented founders I know are dramatically underestimated online.

Not because they aren't exceptional.

Because their digital presence hasn't kept up with their real business.

Their company evolved.

Their expertise deepened.

Their point of view became clearer.

Their customers became more loyal.

Their business became better.

But their digital presence froze somewhere five or ten years ago.

It's the equivalent of standing at the trailhead with a brand-new avalanche beacon...

...and no batteries.

You made it to the mountain.

You showed up.

But you weren't prepared for the conditions.

That's the difference between Search and Selection.

Search rewarded showing up. Selection rewards being ready.

Your business didn't suddenly become less impressive.

The environment changed.

The businesses that thrive over the next decade won't necessarily be the ones with the best products.

They'll be the ones whose digital presence most accurately reflects how good they already are.

Your goal isn't to look better than you are.

Your goal is to make sure your digital presence finally tells the truth about how good you already are.

That's what AI is evaluating.

And increasingly, that's what the market will choose.

How I Help

The problem isn't that your business isn't good enough. The problem may be that your digital reputation no longer reflects your real reputation. I help founder-led businesses become easier to understand, easier to trust, and easier to choose—in the Selection Economy.

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Eighteen months ago, I did something I never imagined I'd do.

I applied for jobs.

Six months earlier, I had sold my company. It wasn't the kind of exit founders dream about. The transaction was complex, the negotiations were long, and by the time it finally closed, I was exhausted.

For the first time in my career, I remember thinking,

"Maybe the easier path is just to get a job."

So I updated my résumé.

Refreshed my LinkedIn profile.

And started applying.

Mostly...

Nothing happened.

Applications disappeared into applicant tracking systems. Occasionally I'd receive an automated response. Most of the time, I heard nothing at all.

At the time, I thought I was looking for a job.

Looking back, I think I was getting my first lesson in something much bigger.

I was learning what it feels like to be filtered before another human being ever knows you exist.

That experience has stayed with me.

Not because I desperately wanted one of those jobs. I didn't.

But because once I noticed it in hiring, I started seeing the same pattern everywhere.

Executives tell me AI summarizes their inbox before they ever read it.

Executive assistants use AI to filter inbound email.

Investors use AI to research founders before deciding who deserves a first meeting.

Buyers ask ChatGPT which companies they should consider before they ever visit a website.

Different situations.

The same underlying question.

Who gets chosen—and why?

For most of my career, I believed the best opportunities came through relationships.

Looking back, I still believe that's true.

Every meaningful opportunity in my life came through another person.

A conversation.

An introduction.

Someone willing to make a call.

Not an algorithm.

A person.

But I also think something is changing.

Increasingly, AI influences who gets considered before two people ever have the chance to meet.

It doesn't make the final decision.

People still do.

But it increasingly shapes the shortlist.

That feels like one of the defining business shifts of our time.

Ironically, my response wasn't to build a better sales pipeline.

It was to build a better relationship system.

Over the past few months I've built my own Executive Engagement CRM—not to track deals, but to help me stay connected with people I've worked with, learned from, admired, and genuinely care about.

Because I still believe relationships are where the best work begins.

And yet...

I've noticed something I can't quite explain.

Despite having more ways to communicate than ever, it feels harder to actually connect.

Emails go unanswered.

Messages disappear.

Everyone seems busy.

It makes me wonder if we're living through a strange paradox.

Just as AI becomes increasingly involved in how we're discovered and selected...

The human relationship may be becoming even more valuable.

Not less.

That's why I've started calling this The Selection Economy.

Not because AI is replacing people.

Because it's changing how people find each other.

And I suspect we're only beginning to understand what that means.

— Susan Pieper, Founder, SHIFT CEO | Claimed™

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Today, something much more significant is happening.

AI is transforming research.

That fundamentally changes how companies are evaluated—and ultimately selected.

When someone asks ChatGPT, Claude, Gemini, or Perplexity, Who's the best commercial real estate attorney in Denver? What CRM should a 50-person SaaS company use? Which accounting firm specializes in founder-led businesses? they aren't searching. They're researching.

Increasingly, AI is conducting that research on their behalf—reading, comparing, synthesizing information, and making recommendations. That changes the role of your website. It is no longer simply a digital brochure designed to persuade a human visitor; it is becoming one of the primary ways AI learns who you are, what you do, and whether you deserve to be recommended.

And that means one thing has become more valuable than ever:

Unambiguous meaning.

For years, buyers tolerated ambiguous headlines, broad messaging, and polished brand speak because they did the work of interpreting what companies actually meant. We've all seen the copy:

"We provide innovative, customer-centric, end-to-end solutions that empower organizations to unlock transformational growth."

It sounds impressive, but it leaves the most important questions unanswered. What does the company actually do? Whom does it serve? What problem does it solve? What outcome does it create?

If a prospective customer—or an AI—cannot answer those questions within seconds, your brand has an ambiguity problem. And ambiguity has become expensive.

This shift will not affect every industry equally. AI research will matter most where buyers already invest significant time comparing alternatives, evaluating expertise, and establishing trust before making a decision: healthcare, wellness, financial services, legal services, professional services, B2B software, travel, education, home improvement, and other high-consideration purchases. These are not impulse purchases. They are judgment purchases.

The research already points in this direction. In its October 2025 report, New Front Door to the Internet: Winning in the Age of AI Search, McKinsey found that half of consumers already use AI-powered search and projects that AI could influence $750 billion in U.S. consumer spending by 2028. Bain reports that 30–45% of U.S. consumers already use generative AI to research and compare products. Gartner found that 45% of B2B buyers used generative AI during a recent purchasing decision, while 69% still relied on sales representatives to validate AI-generated insights before making a final decision. AI is increasingly shaping the shortlist—even when humans make the final choice.

Healthcare may be the clearest example. Consumers are already using AI to research symptoms, treatments, providers, and alternatives before ever scheduling an appointment. Deloitte has documented both the rapid adoption of generative AI for health information and consumers' growing expectation that providers will be transparent about how AI is used. McKinsey has similarly argued that AI will reshape healthcare by improving personalization, engagement, and access to information. For med spas, longevity clinics, functional medicine practices, aesthetics, and other trust-based health businesses, this shift is already underway.

The companies that thrive in the AI era will not necessarily have the largest marketing budgets or publish the most content. They will be the companies that communicate with the greatest strategic clarity.

Every company should be able to answer five simple questions:

What do we do? Who do we do it for? What problem do we solve? What outcome do we create? Why are we the best choice?

Those are not marketing questions.

They are strategic questions.

For years, positioning was about differentiation. Today, it is equally about comprehension. AI cannot confidently recommend a company it cannot confidently understand.

That is why I believe we are entering The Selection Economy.

In the Search Economy, success came from being found.

In the Selection Economy, success comes from being understood well enough to be chosen.

— Susan Pieper, Founder, SHIFT CEO & Claimed Agency

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The answer was almost always the same.

"We're working on it. Q3."

Everyone nodded and moved on.

The gap between what the company had become and what its website still said was simply accepted. The vision was always a few months ahead of the digital record. That was the cost of moving quickly.

Today, that gap has become far more consequential.

What Changed

When a prospective customer, partner, investor—or increasingly, an employee—asks an AI about your company, the model doesn't ask your CEO what the business is becoming.

It reads your digital record.

What it finds is what it learns. What it learns is what it recommends.

If your clearest thinking lives in your head, in a board meeting, in your sales deck, or in last Tuesday's leadership offsite—but not on your website, your LinkedIn profile, or your published content—that thinking is effectively invisible.

The strategy moved forward.

Your digital record didn't.

And the AI recommends the version it can see.

The Lag Used to Be Harmless

For years, this wasn't much of a problem.

People filled in the gaps. A prospective customer would talk to someone in the industry, ask for a referral, meet your team, or have a conversation that revealed who you really were.

Human judgment bridged the distance between your digital presence and your actual business.

AI doesn't bridge that gap.

It reasons from the evidence available.

The lag that once cost you very little can now cost you the recommendation.

Why This Matters

It's tempting to think this belongs to the marketing team or whoever manages the website.

I don't think it does.

This is a leadership discipline.

It reflects how quickly an organization's best thinking makes its way into the public record. Companies evolve every week. Positioning sharpens. Customers change. New language emerges that explains the business more clearly than it did six months ago.

In the Selection Economy, that language is a strategic asset.

And like any strategic asset, it loses value when it isn't deployed.

The companies that will be easiest to discover—and easiest to choose—won't necessarily be the ones with the best products.

They'll be the ones whose digital record keeps pace with their thinking.

A Confession

I've been thinking about this a lot because I'm living it myself.

I lead two businesses—SHIFT CEO and Claimed—that help founder-led companies become easier to discover, trust, and choose in an AI-first world.

Ironically, my own websites don't yet reflect my best thinking.

The language I've developed over the past several months—the ideas behind the Selection Economy, digital authority, and the strategic implications of AI—is far more visible in this newsletter and on LinkedIn than it is on either website.

That's my lag.

— Susan Pieper, Founder, SHIFT CEO | Claimed™

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A customer had a problem.

They searched.

Google returned options.

The customer did the work of evaluating, comparing, and selecting.

An entire economy emerged around that process.

A $350 BN SEO market. Content marketing. Review sites. Directories. Marketplaces. Comparison engines.

All designed to help buyers find options.

But something fundamental is changing.

Increasingly, buyers aren't searching.

They're asking.

What's the best CRM for a 20-person company?

What's the best med spa for botox in Jackson Hole?

Which wealth advisor in Park City should I trust?

What software should my team use?

And instead of receiving ten blue links and spending an hour researching, they're receiving recommendations.

This is not a search story.

It's a buyer selection story.

For decades, marketers have been trying to build systems that help buyers make decisions faster and with more confidence.

Now AI is becoming that system.

The implications are enormous.

When AI becomes a primary driver of buyer selection, visibility changes.

Authority changes.

Trust changes.

Brand strategy changes.

The question is no longer: "Do customers find you?"

The question becomes: "Does AI include you in the selection set?"

That shift is already underway.

Venture capital firms are investing hundreds of millions of dollars into companies focused on AI visibility and AI discovery. Enterprise brands are beginning to measure how they're represented inside AI-generated recommendations. Meanwhile, many founder-led businesses don't yet realize the rules of customer discovery are changing beneath them.

That's why I'm writing The Selection Economy.

Not to chase AI trends.

To understand what happens when the systems buyers use to discover, evaluate, and choose companies fundamentally change.

Because every business depends on being selected.

And the businesses that understand this shift early will have an advantage over those who discover it after their growth slows.

Welcome to The Selection Economy.

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