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Why reputation is one of your most valuable (and fragile) assets

Brand is the promise an organization makes to its audiences. Reputation is how well an organization keeps that promise. 

We say this to clients all the time.  But there’s a third concept, the most important of all, that every organization wants but not all of them have: Trust. 

Trust is what an organization earns (or loses) as a result of that promise and how well it’s kept.  

How do these three concepts interact?  

We think of trust as a bridge between brand and reputation. It’s built slowly over many years, even decades, through consistency, quality, and earned reputation. When what an organization promises and what it delivers are aligned, the bridge holds. But what takes years to build can collapse in a matter of seconds.  

And yet, many organizations still rely on instinct rather than data to tell them whether that bridge is holding. 

How trust is actually built (and why it’s so hard to do)

Every organization wants to be a trusted brand. They invest in building their brand and managing their reputation, assuming that if those two things are strong, trust will naturally follow. But it doesn’t work quite like that.  

Brand and reputation create the conditions for trust, but they don’t guarantee it. Brand is something you build and reputation is something you manage; but trust, that is something your audience decides. 

You can’t control trust directly, but that doesn’t mean you can afford to ignore how it is built or lost. To understand why, it helps to think about how trust forms at the most human level, and why organizations can’t replicate it the same way. 

With a person, trust is all about the relationship. Your interactions are personal, contextual, and forgiving: a trusted friend can have a bad day without significant consequences. In a brand context, whether it’s a company, public institution, government, or platform, external people rarely have access to decision makers in an organization. When intent isn’t visible, trust gets built through signals: what organizations say, how they act, policies, other people’s experiences, press coverage, delivery on their brand promise, and even who endorses them can all have impact. 

This is the challenge: trust has to be earned and built over time. And because institutional trust is built on foundations an organization can’t fully control, everything can be done correctly and you’re still one bad weekend away from watching that bridge collapse.  

Reputation is more fragile than most brands assume

Reputation can rupture in a split second. Some audiences are more forgiving than others, but history has taught us that pressure builds quietly, until a single decision, message, video or event undoes years of bridge-building.  

Reputation rupture event: a triggering moment that occurs when accumulated pressure on an organization’s credibility is suddenly exposed. In other words, when the bridge collapses. 

Today, these events can spread in seconds thanks to screenshots, reposts, X messages, Reddit communities, and un-trackable text messages. Social media has given audiences a plethora of platforms, and the motivation to speak up — sometimes anonymously, sometimes personally — faster than any communications team can respond. This turns into a bigger risk if that person has a considerable following of their own. 

This is why monitoring and tracking brand reputation and online presence is fundamental. And now, in an AI-driven environment, that job is more urgent and complex. This is not just social media listening or sentiment tracking. Most brands are measuring what’s loud, while pressure points are building tension over time. These pressure points are embedded across operations, employee experience, stakeholder trust and public perception, which are areas traditional monitoring usually overlooks. 

The warning signs are often subtle. Repeated complaints not escalated or employee reviews not addressed can cause small gaps between the brand promise and how well it’s maintained. Moments might seem isolated but point to something deeper. When tracked collectively, these signals begin to reveal patterns of declining confidence and legitimacy, long before they show up in traditional metrics.    

Reputation rupture events rarely come out of nowhere. In most cases, the pressure was visible, but wasn’t recognized. This is becoming a more prominent risk in an AI-driven world, with decisions amplified and interpreted at scale.  

In February 2026, two AI companies faced the same decision. One said no, one said yes. Both decisions were rooted in existing tensions around transparency, control and trust. The aftermath of those two events was a reputation rupture event that played out in real time. 

Chat, why are they losing so many users? — OpenAI’s reputation rupture event

In early March 2026, the Pentagon labeled Anthropic “a supply chain risk, effective immediately1” — a label usually reserved for US adversaries, never before applied to a US company2 . The designation was blocked by a US judge in March 2026, then reinstated on appeal in April3. Anthropic is currently excluded from Department of War4 contracts while the litigation continues. They also designated Claude “a national security risk5” after Anthropic refused to remove restrictions on two specific uses: mass domestic surveillance and fully autonomous weapons. The Department of War demanded the right to use Claude “for all lawful purposes6” without exception.
The US government making that designation should have been enough to cause a reputation rupture event and inflict massive damage to Anthropic’s reputation … but it wasn’t.  

The reason? Anthropic’s response to these requests. On February 26th, Anthropic CEO Dario Amodei published a statement pushing back on the DOW’s requests. Anthropic stood by their principles and didn’t budge. Many users online praised this decision, but the story wasn’t over. 

Hours later, OpenAI CEO Sam Altman published on X that his company had finalized a deal with the DOD to deploy models in the DOD’s classified network. That single message ignited a rupture event: 

  1. ChatGPT uninstalls jumped 295%7 within 24 hours.  
  1. One-star app reviews surged 775%8 the same day. 
  1. A Reddit post urging ChatGPT cancellation hit 30,000 upvotes9 before the weekend ended. 
  1. The QuitGPT movement gathered over 4 million10 digital participants and organized a physical protest outside OpenAI’s San Francisco HQ. 
  1. Claude topped the App store’s download11 charts. 

Same DOD contract, same weekend, opposite decisions, completely different trust outcomes. And yes, after the fact, OpenAI said that they were rushed, and that they were working on the terms and conditions, that the deal “looked opportunistic and sloppy”. But the reputation damage was done: trust was broken.  

We used our proprietary brand health measurement tool, ChangeMakers RepScore© to measure the impact in real time. Our Data Intelligence team identified a 34.3 point drop12 from OpenAI’s baseline within a single day. This volume of movement reflects how quickly reputation can rupture when expectations fall out of alignment. It appears sudden, but it’s usually the result of underlying pressures reaching a tipping point.  

Uninstalls, reviews, and protest movements are lagging indicators: they tell you the bridge already collapsed. The backlash caused OpenAI to subsequently amend the deal to add surveillance restrictions, which is the real evidence: the reputation rupture event forced a course correction, proving the trust damage was real enough to change corporate behaviour. 

The question for any organization is: do you have a way to predict and measure the damage in real time, and do you have a baseline to measure it against? 

What keeps the bridge standing

Most organizations treat trust as a sentiment; something they feel is in good shape until suddenly it isn’t. But the organizations that protect it effectively aren’t reacting to crises; they’re tracking the pressure points to avoid a brand reputation collapse.  

Understanding how your reputation is perceived (and where the gaps between your promise and your audience’s experience might be growing) is what keeps the bridge standing. These gaps are early indicators of trust erosion that can impact everything from customer behaviour to employee retention. It’s why we built the Reputation Score©: to give organizations a measurable read on the health of their brand reputation before it becomes a crisis, grounded in verifiable and relevant data points.  

When reputation is measured consistently, it becomes something brands can actively track. Knowing your Reputation Score© helps you respond to risk with intention instead of reacting under pressure, and spot opportunities to build trust proactively. 

A brand promise has little value if audiences do not trust it.  

In a world where a single decision can destroy years of earned reputation, treating trust as a passive outcome is no longer a strategy any organization can afford. 

About the authors
Christian Rosenthal / Director, AI
Hannah Langille / Senior Account Manager

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