The Verdict Economy

Everyone Is Optimising for AI. Almost Everyone Is Doing It Wrong.

The clutter says AI visibility is a tactics problem. It is not. It is a reputation problem. And for founder-led businesses, that is the best news in years. A treatise on how to get cited, found and hired in the AI search era.

The short version. Founder-led businesses get cited, found and hired by AI the same way they earn trust everywhere else: by building genuine reputation capital across every place a buyer, and an algorithm, looks. Not by gaming schema or stuffing FAQ blocks. AI does not reward the loudest brand. It rewards the most credible one. That means the brands that have done the hard work of building and nurturing their reputation over time will win the search game, and the asset that wins is the real, expert human at the centre of the business.

Introduction

There has never been more written about how to be found, and never less worth reading.

Open LinkedIn on any given morning and you will be told, with total confidence, that AI visibility is a matter of chunking your content, phrasing your headers as questions, adding FAQ schema, and refreshing pages every thirty days so the crawlers think you are alive. All of that is true. None of it is the point. It is the marketing equivalent of polishing the door handles and calling it architecture.

I have spent thirty years working on reputation for some of the most scrutinised brands in the world, including six years leading reputation across Africa for SABMiller, then a FTSE Top 20 company. I have watched a great deal of fashionable language come and go. So let me say the quiet part plainly. The race to "optimise for AI" has produced an enormous amount of noise and almost no thinking, because most of it starts from the wrong premise. It treats the machine as a channel. The machine is not a channel. It is a judge.

The old internet gave you links. The new one gives you a verdict.

Here is what actually changed, and it is bigger than anything a schema tweak will touch.

When a buyer used to search for you, they were handed a list. Ten blue links, a few adverts, and the dignity of deciding for themselves what to read and what to believe. The search engine was a librarian. It pointed. You chose.

Ask an AI assistant the same question and something very different happens. It does not hand you a shelf. It hands you a conclusion. It has already decided which sources look credible, which narrative deserves emphasis, and which competitor belongs on the shortlist and which does not. The buyer receives a verdict, not a set of options to weigh.

The Verdict Economy

Welcome to the verdict economy. It is the single most important shift in how businesses get chosen since the search box was invented, and the consultancy-class commentary is busy rearranging deck chairs.

The numbers behind this are not speculative. More than 2.5 billion people now encounter Google's AI Overviews every month. And the reputation research firm RepTrak has started measuring how AI itself rates companies, asking the machines the same questions they ask the public. When they did this for four major banks, AI scored them an average of nearly 23 points lower than the informed general public did. One bank scored 66.3 with human stakeholders and 43.6 with AI platforms, a gap of more than 22 points, enough to move it from "average" into "weak".[1]

Read that again. The same company. The same facts. A reputation gap of more than twenty points, depending entirely on whether you ask a person or an algorithm. If you are not measuring what the machine thinks of you, you are flying blind into the one room where your buyers are now forming their first impression.

And this is not only an AI-era problem. Brand new research from the Global Communications Search Partnership, surveying over 200 senior corporate affairs leaders worldwide, found that 81% believe their organisations are highly trusted by stakeholders. The external benchmarks tell a very different story: Edelman puts public trust in business at 64%, and the Ipsos Trustworthiness Index puts trust in business leaders at just 26%. The gap between how trusted companies think they are, and how trusted they actually are, has always been there. AI has simply made it impossible to ignore, and impossible to ride out.

AI is not a channel you broadcast into. It is a stakeholder with an opinion.

This is the reframe everything turns on, so I will be blunt about it.

Every previous medium got quietly folded into the old communications model. Press releases became media relations. Websites became owned media. Social became a channel to schedule alongside the rest. The instinct now is to do the same thing to AI: add a column to the spreadsheet, appoint someone to "own GEO", count the citations, declare victory.

That instinct is wrong, and it will cost people two or three years of wasted effort. AI does not behave like a channel because it does more than carry your message. It forms a view about you. It synthesises everything it can find into a point of view, and then it influences the behaviour of others on the strength of that view. That is not a channel. That is a stakeholder. And it is a stakeholder you cannot take to lunch, cannot brief, and cannot charm. You can only earn its respect the slow, unglamorous way, which is by being genuinely worth recommending.

You cannot game a judge with tactics. You can only present a credible case. Reputation is the case.

For founder-led businesses, this is good news

Here is where most of the AI-search discourse goes quiet, because most of it is written by and for large companies, and it has missed the most important implication of all.

The machine triangulates. It does not take any single source at face value; it cross-checks what your website says against what others say, what the reviews say, what the press says, what your network says, and whether all of it points to the same expert human telling the same coherent story. Authenticity, in other words, has become a measurable signal. Not authenticity as a brand value to put on a wall. Authenticity as the thing that happens when every source agrees because the underlying truth is real.

This is precisely the asset a founder-led business already owns and a corporate spends millions trying to manufacture: a real person at the centre, with real expertise, who actually does the work. The machine is built to find exactly that. It rewards authority that traces back to a specific, credible human voice. The founder is not a liability to hide behind a corporate "we". The founder is the single most powerful visibility asset in the new buying environment, and most founder-led firms are sitting on it unused, hiding behind a logo, or simply never getting round to the work of making that person findable.

The large brands have scale. You have something they cannot buy. You are real, and the machine can tell.

Channels collapsed. The composite is all that is left.

The other thing the tactics crowd has not absorbed is what AI has done to the very idea of channels.

When someone asks ChatGPT, Claude, Perplexity or Gemini about your category, the answer is assembled, in real time, from a probabilistic blend of everything: your owned content, the press, the peer reviews, the LinkedIn posts, the community threads, the conference talk someone wrote up two years ago. One output, drawn from many inputs. No single channel produced it. The composite produced it.

A geeky sidenote on why this matters

It is worth being precise about where that warning comes from, because it is not a marketing aphorism, it is one of the most durable findings in systems thinking. The management theorist Russell Ackoff put it plainly: when the performance of the parts of a system is improved separately, the performance of the whole usually is not. A system, he argued, is never the sum of its parts; it is the product of their interaction, so improving one component in isolation can actively degrade the whole. That is exactly what AI search does to the old channel model. The answer a buyer receives is not produced by your best-performing channel. It is produced by the interaction of all of them, cross-checked against each other. Optimise the FAQ page in isolation and you have improved a part while the system that actually decides your fate, the composite, remains uncorroborated. The discipline that wins is orchestration, not local efficiency.

I think of it the way a great team plays. The teams that win are not the ones with the best isolated performer running the same play over and over. They are the ones in constant, orchestrated motion, where every part backs into a single shared outcome. Local optimisation, the systems thinkers warn, destroys global performance. A brilliant FAQ page on a website that nobody else on the internet corroborates is a beautifully optimised door handle on a building with no foundations.

So, the old org chart, the one with a person who "does SEO" sitting in a silo away from the person who "does PR", is now an active liability. The work that moves the needle is the work that makes every input say the same true thing about you, consistently, online and in the real world. That is not a channel skill. That is a reputation management skill. And it is exactly the skill that strategic communications has always been about, long before anyone needed an acronym for it.

This is what the Founder Visibility Stack is for

The Founder Visibility Stack™ is the online and offline reputation work that earns visibility across the places that now decide who gets shortlisted: AI assistants, search, the press, peer networks, LinkedIn, and the rooms where your buyers actually gather. It runs on a deliberately simple logic, and that logic is the whole company in three words.

Reputation. Visibility. Pipeline.

Reputation comes first because nothing downstream works without it. You build a clear, credible, defensible position grounded in what your business genuinely does and stands for. Visibility is what that reputation earns once it is orchestrated across every input rather than scattered across siloed channels. Pipeline is the point, the named, qualified, ready-to-buy clients who arrive because they found you, the machine recommended you, and the story held together under scrutiny.

Most of the market sells you one layer and calls it a strategy. The technical AEO agencies sell you the plumbing. The traditional PR firms sell you the press. The freelance writers sell you the words. None of them, at a price a founder-led business can actually reach, connect reputation to visibility to a measurable pipeline as a single system with senior strategic awareness of how AI search now works. That intersection, senior reputation strategy, AI visibility, and a founder-accessible price, is the gap It's a Shovel intends to fill.

If you want to know where you stand right now, the honest place to start is the free AI Visibility Audit: a one-page picture of how the machines currently see you, delivered within two working days. From there the work is structured, not improvised: a Discovery and Strategy project to set the position, a Foundation refresh to make your owned presence earn its keep, and a Growth engine to keep the whole stack working month after month.

Reputation was always the answer. The algorithm just made it non-negotiable.

If the verdict economy feels new, the underlying truth is anything but. Reputation has always driven performance. The machine has simply made the link impossible to ignore and impossible to fake.

The most rigorous recent work on this comes from Burson, whose January 2026 study, validated by the University of Oxford's Saïd Business School Centre for Corporate Reputation, put a number on it. Reputation, they found, is now a $7.07 trillion asset class. Companies that lead on reputation earn an additional 4.78% in annual shareholder returns over those that lag, and the gap between the leaders and the laggards, what the study calls the Great Divide, runs to nearly 14 points.[2] Edelman's 2026 Trust Barometer tells the same story from the other side: trust, not reach, is the currency that moves people to act.[3] And the buyer research is now unambiguous. B2B decision-makers are using AI assistants as a genuine part of how they research, compare, and shortlist suppliers, well before any salesperson gets a look in.[4]

The data has finally caught up to what good practitioners have always known. Reputation is not the soft, after-the-fact polish on a hard commercial machine. Reputation is oil that makes sure the machine works at all.

We said this in 2018. The world has caught up.

I will allow myself one moment of told-you-so, because it matters to the argument.

I first wrote about Reputation and Purpose in May 2017. The following year, Larry Fink's now-famous letter to chief executives argued that companies needed a social purpose to prosper. Over two years later, in August 2019, the Business Roundtable redefined the purpose of a corporation to serve all its stakeholders, not just its shareholders. The idea that reputation, purpose and commercial performance are bound together was, at that point, treated as faintly radical.

It is not radical now. It is the operating system. And the framework has evolved with the world it describes. Reputation with Purpose was always about connecting what a business does, stands for, and says into one coherent, credible whole. The Founder Visibility Stack is what that becomes when the most important judge of your credibility is no longer only a journalist or a buyer, but also a machine that reads everything, forgets nothing, and rewards the businesses whose story is true all the way down.

The thread running through both, then and now, is authenticity. Not as a slogan. As a strategy. In a verdict economy, the only durable advantage is being genuinely, demonstrably, traceably worth recommending. There is no shortcut around that, and thank goodness, because it means the businesses that deserve to win finally can.

Jessica Whitcutt MCIPR on the Founder Visibility Stack

So how do you actually get cited, found and hired?

You stop chasing the algorithm and start earning the verdict.

You make the founder visible, because the machine is hunting for exactly that kind of credible, specific, human authority. You build a reputation that is real enough to survive cross-examination from a system that checks every source against every other. You orchestrate, rather than silo, so that everything a buyer or a machine finds says the same true thing about you. And you treat AI not as a channel to broadcast into, but as a stakeholder whose respect you have to earn.

That is reputation work. It is what I have done for FTSE-level brands for thirty years, and it is what It's a Shovel now does, personally and at a price founder-led businesses can actually reach. If your business is founder-led, expert, and has something genuinely useful to offer, the door handles can wait. Let us build you something with foundations.

Start with the free AI Visibility Audit. Or, if you would rather understand the thinking first, read why I built It's a Shovel and follow the rest of our Insights.

Frequently asked questions

What is the difference between AI visibility and SEO? SEO earns you a position on a list of links that a person then chooses from. AI visibility earns you a place inside the answer itself, the verdict an AI assistant hands a buyer who never sees the underlying list. They overlap, but AI visibility depends far more heavily on whether your wider reputation, across press, peers, reviews and your own credibility, corroborates what your website claims.

Can you optimise a business so AI recommends it? Not by tactics alone. AI assistants cross-check sources, so the reliable route to being recommended is to build genuine reputation capital that holds together under scrutiny, anchored to a credible, visible expert. Technical signals like clear structure and current content help retrieval, but they cannot manufacture authority that is not there.

Why does a founder being visible matter for AI search? AI rewards authority that traces back to a specific, credible human voice. A founder-led business already has that real expert at its centre, which is precisely the signal the machines are built to find. Hiding behind a corporate "we" throws away the strongest visibility asset the business owns.

Where should a founder-led business start? With an honest diagnostic of how AI currently sees you. It's a Shovel offers a free AI Visibility Audit delivered within two working days, which gives you a one-page picture of where you stand before you commit to anything.

[1]RepTrak, 2026 Global RepTrak and AI as a Stakeholder analysis: AI platforms scored four major banks an average of nearly 23 points below the Informed General Public, with one bank showing a 22.7-point gap (66.3 vs 43.6). https://www.reptrak.com

[2]Burson, The Global Reputation Economy (January 2026), validated by the University of Oxford Saïd Business School Centre for Corporate Reputation: reputation valued as a $7.07 trillion asset class; reputation leaders earn an additional 4.78% in annual shareholder returns; the "Great Divide" between leaders and laggards is 13.8 points. https://www.bursonglobal.com

[3]Edelman, 2026 Edelman Trust Barometer, Global Report. https://www.edelman.com/trust/2026/trust-barometer

[4]Omniscient Digital and Wynter, How B2B Decision-Makers Buy in an LLM Age (2025). https://www.omniscientdigital.com‍ ‍