By Guest commentary Friday, July 17th, 2026

By Starr Hall 

I’ve spent more than three decades helping brands build credibility, navigate media scrutiny, and survive moments they never saw coming. This week, I found myself managing three separate reputation crises at the same time. Two of them had something in common that didn’t exist just a few years ago.

Artificial intelligence.

Not AI as a productivity tool. AI as a weapon. I’m calling it AI Fakery.

AI Fakery is the growing wave of AI-generated false claims, manipulated content, fake conversations, fabricated screenshots, cloned voices, impersonation, and synthetic narratives designed to damage a person’s or organization’s reputation before the truth has a chance to catch up. 

The dangerous part isn’t just the fake content; it’s the speed. Within minutes, false information can spread across social media, blogs, forums, AI search results, and even begin influencing journalists who are racing to verify what they’re seeing.

For business leaders, this creates a new kind of vulnerability. A company no longer has to make a mistake to find itself in the middle of a crisis. A fake screenshot, a fabricated quote, a cloned voice, or an anonymous claim can create confusion before an organization even knows what happened. 

The challenge is that AI Fakery often looks believable enough to spread, but vague enough to be difficult to immediately disprove. That is what makes it so dangerous. It creates a gap between perception and verification, and in that gap, reputations can take a hit.

This is no longer just a communications issue; it is a leadership issue, a legal issue, a trust issue, and increasingly, a business continuity issue. 

Boards, executives, founders, nonprofits, public agencies, and small businesses all need to understand that the next reputational threat may not come from something they did. It may come from something someone created.

Traditional crisis communications weren’t built for this; today’s reputation management requires an entirely different playbook. While every situation is unique, here are three principles I rely on when helping clients navigate AI-driven reputation attacks.

DON’T FIGHT THE NOISE, FIND THE SOURCE

One of the biggest mistakes organizations make is trying to respond everywhere at once. Instead, identify where the false narrative began, how it is spreading, and which sources actually influence public perception.

Start with the basics: search the exact claim, the names involved, and any unusual phrases being repeated. Use reverse image search for photos, screenshots, and graphics. Check timestamps, usernames, repost patterns, and whether the same language is appearing across multiple accounts or websites. Media monitoring and social listening platforms can also help identify spikes in sentiment, volume, and visibility.

Some tools can assist with this process, including media monitoring platforms, social listening dashboards, reverse image search, fact-checking databases, metadata review, and emerging deepfake detection tools. 

But no tool should be treated as the final answer. Even AI detection and watermarking systems have limits, especially when content has been edited, cropped, reposted, or stripped of context.

The goal is to separate noise from influence. Focus on the content and platforms that are driving visibility, search results, or media attention. Document what you find with timestamps and screenshots before anything changes or disappears.

Not every post deserves a response. Some deserve documentation, others deserve legal review, many deserve nothing at all. Knowing the difference can determine whether a story dies or grows.

MOVE FASTER THAN NARRATIVE

In reputation management, silence isn’t always strategic. When AI-generated misinformation begins spreading, every hour matters. That doesn’t mean reacting emotionally or rushing out incomplete statements.

It means activating a response plan, verifying facts quickly, preparing messaging, briefing leadership, monitoring sentiment, and communicating with precision before speculation becomes accepted as fact.

For example, imagine a fabricated screenshot begins circulating online claiming your CEO made a controversial statement that was never said. 

If your team spends 24 hours debating whether to respond, the screenshot may already have been shared thousands of times, picked up by bloggers, or referenced by journalists seeking comment. 

A timely statement confirming the image is fabricated, paired with clear facts and consistent messaging, can often slow the spread before the false narrative gains credibility.

Speed without strategy creates chaos. Strategy without speed creates headlines.

You need both.

PROTECT TRUST, NOT JUST REPUTATION 

Reputation isn’t simply about removing negative information; it’s about reinforcing credibility. During a crisis, people watch how leaders respond more than the crisis itself. Transparency, consistency, and factual communication create confidence. 

The goal isn’t to win an argument online. The goal is to preserve trust with the people who matter most: customers, employees, investors, partners, donors, and the media.

For example, if false information begins circulating about your organization, don’t let employees or key stakeholders learn about it from social media. Brief your internal team first, acknowledge what is known and what is still being verified, and provide clear, consistent talking points. 

Then communicate externally with the same factual message across your website, social channels, media responses, and customer communications. 

Even a simple statement such as, “We’re aware of the claims, we’ve verified they are inaccurate, and we’ll continue to share updates as facts are confirmed,” demonstrates leadership and transparency without amplifying the misinformation.

People are remarkably understanding when organizations communicate honestly and consistently. What erodes trust isn’t always the crisis itself — it’s confusion, silence, or conflicting messages.

REPUTATION RISK IN THE AI ERA

Every organization should assume it’s not a matter of if AI-generated misinformation will emerge, but when. 

That means building systems to respond before a crisis occurs, knowing who has authority to speak, establishing internal verification protocols, monitoring for unusual activity and preserving evidence.

Train leadership to recognize synthetic content. And ensure legal, communications, and executive teams are aligned before they are tested in real time.

The organizations that will navigate the AI era most successfully won’t necessarily be the ones with the biggest communications departments. They’ll be the ones that prepare before the first false narrative appears. 

The future of crisis communications has already arrived; AI Fakery is no longer a theoretical risk. It’s an emerging business risk, one that every organization should begin planning for today, and AI Fakery is just getting started.

• Starr Hall has over 25 years of experience in PR, branding and marketin.. She is the founder of Starr Hall Media in Santa Barbara.