THE THREE-MINUTE SEARCH THAT CAN MAKE OR BREAK A BUSINESS DEAL
Somewhere between initial interest and formal approach, a decision is already being made about you. Before the introduction, before the deck lands in an inbox, before anyone picks up the phone, the person on the other side of a potential deal has typed your name into a search engine or an AI platform and formed a view. The whole process takes about three minutes. What it produces is shaping deal outcomes in ways most business leaders have never considered.
The Search That Happens Before the Meeting
The informal search has always been part of how serious people evaluate one another. What has changed is the quality and character of what it now returns. Ten years ago, a name search produced a list of results that required interpretation. The reader had to weigh sources, consider dates, and draw their own conclusions. Today, AI platforms do that work for them. Tools such as ChatGPT and Google’s AI Overviews synthesise information from across the web into a single, coherent-sounding portrait, presented without source hierarchy, chronological context, or any indication of what may be missing or wrong.
This is a qualitatively different problem from a poor LinkedIn profile or an outdated website. Those are visible and correctable. The AI portrait is neither. It is generated dynamically, drawn from whatever has accumulated about a person across the internet, and it presents itself with a confidence that discourages interrogation.
“Most of the founders and executives we work with have never run a search on themselves through an AI tool,” says Tony McChrystal, Founder and Managing Director of Pavesen, which advises and manages reputations for professionals. “When they do, they are often surprised. Not by anything scandalous, but by what is missing, what is wrong, or what is simply out of date. The AI is not lying. It is just working the available information.”
Why Reputation Has a Measurable Price
The commercial consequences are well-documented at the institutional level. The CEOWORLD CEO Reputation Index 2026 identifies leadership perception as a quantifiable driver of enterprise value, with the most trusted executive profiles concentrated in technology, banking, and consumer sectors. Trust, the index concludes, is not a soft metric. It is priced into how businesses are valued and how leaders are received.
A 2019 study by Pfister found that reputational damage produces a measurable increase in the future cost of equity within six months of an adverse event. For founder-led businesses, where the individual and the enterprise share a single reputational surface, the exposure is direct.
What AI Actually Returns
The mechanism through which reputation is now formed has shifted substantially. The Spear’s Reputation Survey 2026 found that people are routinely using AI chatbots to research individuals, with those tools compiling information from multiple sources without verification. The portrait that results may draw on a profile written three companies ago, a speaking engagement no longer representative of a current focus, or a business association from an earlier chapter of a career. None of this is contextualised. None of it is dated. It simply appears, presented as a current and complete account of who someone is.
“The issue is rarely something catastrophic,” McChrystal observes. “It is the subtle misrepresentation that does the damage. An outdated sector focus. An early-career association that no longer fits the business. A significant pivot that never made it into the AI’s picture. That is enough to set the wrong tone before a conversation has even started.”
How Impressions Travel Through Deal Networks
The speed at which those impressions travel compounds the problem. According to the Altrata World Ultra Wealth Report 2025, there are now 510,810 ultra-high-net-worth individuals globally, with the average UHNWI maintaining direct relationships with more than 70 peers. In the deal networks where this matters most, private equity, family office capital, founder-led M&A, reputational impressions move quickly and rarely travel alone.
The deeper difficulty is that this process is entirely invisible to the person being researched. No one discloses that a search took place. No one explains what it returned or why a conversation did not progress. The counterparty simply moves on, and the individual attributes the silence to timing or competition. The opportunity was shaped, and then lost, in a window they never knew existed.
This Is an Accuracy Problem, Not a Vanity Problem
This is not an argument for personal marketing or curated self-promotion. It is an argument for accuracy. It is a distinction that sits at the heart of the work Pavesen does with founders and executives navigating high-stakes transactions. The relevant question is not whether a business leader’s online presence is impressive, but whether the information currently available about them is correct, current, and coherent with who they actually are and what they have built. Those are operational questions, not reputational vanity.
“We tell clients that the informal search is the first meeting,” says McChrystal. “It happens without you in the room. The only question is whether what it presents reflects your actual position and track record, or whether it is a composite of old information that no longer serves you.”
The starting point is straightforward. Search your own name in Google. Then search it in ChatGPT. Read both results as a counterparty would, with no prior knowledge and no reason to give the benefit of the doubt. What comes back is the first impression you are currently making on people who may never tell you they looked.
