Heard the one about the brand that outsourced its own personality to AI?

I just read coverage on Tourism Malaysia’s Citrawarna 2026 promo — the one where a government tourism board generated an entire cultural festival with AI instead of pointing a camera at the real cultural assets all around it. AI dancers. AI wood carvers. An AI version of a public square that already exists and was, presumably, available for filming. They even managed to mirror-image their own national flag.

I read this the way you’d read about a restaurant hanging a stock photo of a steak on the wall instead of cooking one and taking a picture of it. It’s not that the photo looks bad. It’s that it looks inauthentic and people notice. (Yes, I know firsthand how much more difficult/expensive it is to take a great food shot than to use stock or AI.  But just go with me on this.)

Countries go to great lengths to preserve and promote their unique culture. It’s the most personal and authentic thing about them. So…WTF were they thinking?

Nobody Asked the Dancers

The clip went up on June 22, featuring the festival’s cuddly mascots, Wira and Manja, walking through an AI-rendered version of Dataran Merdeka, Malaysia’s storied, flag-raising Independence Square, alongside AI depictions of traditional dancers, communities in traditional dress and hand-stretched roti canai flatbread being made. It came down two days later. No statement, no explanation. Just gone, the way something disappears when the people who approved it would rather not discuss why.

One well-known Malaysian comedian put it plainly online: the country has actual cultural dancers, actual food, actual scenery and actual creative people who could have made this. What’s unsettling isn’t that a cost-saving call got made. It’s that someone looked at the AI cut and decided it was good enough to publish.

And as I always say: stock images create stock brands. (Ok. I don’t always say that. But it does sound like something I would say.) 

Nobody Rejected the Tool. They Rejected Being Cut from the Credit.

Here’s the part that should change how you think about this. Social-listening data on the backlash found that 84.6% of the negative sentiment was about authenticity — not opposition to AI as a technology. 

That distinction matters more than the outrage cycle around it. Audiences aren’t rejecting AI. They’re rejecting being told a fake thing is the real thing and rejecting brands that skip the people who’d have made it real.

This isn’t just a Malaysia problem. It’s a cautionary tale for us all.

• 87% of consumers say the best advertising still requires a human touch, and 70% say they can tell something’s missing from an AI ad, without being told why. Audiences don’t need a disclosure label. They just feel it.
• 71% of Gen Z and Millennial consumers now believe they’ve seen an ad made with AI, up from 54% just two years ago. That’s not a niche skill anymore. That’s most of your audience, watching closer than you think.
• Only 13% of consumers say they completely trust AI, full stop, meaning every AI-made campaign starts the relationship already in the red.

It Doesn’t Know Why the Real Dancer Matters

AI is genuinely good at the mechanical stuff like rendering, resizing, filling a brief exactly as written. What it can’t do is feel embarrassed that the dancer isn’t real or come close to understanding what it means to a culture to be represented by something that was never asked to show up. It executes. It doesn’t wince.

Two examples of the same failure in different outfits:

• Meta had to pull an Instagram AI feature within days of launch after it let users generate images from real people’s public photos without asking. Same root problem as Citrawarna: using someone’s likeness, or someone’s culture, without inviting them into the decision.
• Duolingo‘s CEO announced the company was going “AI-first” — cutting contractors, leaning harder on AI — and the backlash was swift: boycott threats, thousands of TikTok unfollows, growth slowing from 60% to 40% YoY. He later admitted he hadn’t explained what any of it meant for users. AI wasn’t new to Duolingo — they’d used it for years. What was new was announcing a decision about people’s future without a word to the people watching.

The technology isn’t the risk. The failure to understand that a brand is a relationship that has two very important and often distinct points of view, as well as the absence of a human raising their hand and asking “should we?” is the risk.

Consistency Is the Whole Point

Trust now shapes 92% of global buying decisions. And brands in the top trust quartile earn a 31% revenue premium over everyone else. Distinctiveness is what earns that trust — the specific, textured, unmistakably-you details that make a brand recognizable at a glance. That’s exactly what gets sanded off when AI fills in the gaps nobody double-checked.  In Tourism Malaysia‘s case, that was the foam on the tarik tea as its poured between two cups, or the woven-leaf texture of ketupat rice cakes steamed inside palm-leaf pouches. Small details. Whole brand identity made generic.

And this compounds, because most brands aren’t being honest about how often it’s happening. Distrust of AI content roughly doubled in twelve months, while only 20% of brands always disclose when they’ve used it. That gap between what audiences want to know and what brands actually tell them is where the damage sits and grows.

What This Actually Means for Your Brand

Strip away the anecdotes and here’s what’s left — the key questions worth asking before AI touches anything customer-facing:

• Does this replace a person we could have credited instead?
• Have we disclosed that this is AI-made, proactively, before someone asks?
• If this claims to represent real people or a real culture, were real people in the room making it and not just approving it after the fact?
• Who in the loop has zero stake in the campaign and gets to say “this feels off” before it goes live?
• Is AI accelerating a decision a human already made, or making the decision for us?
• What should AI never ever be allowed to touch?

Don’t Become a Stock Brand

A stock photo isn’t wrong. It’s technically fine but emotionally empty, and it says nothing about the actual thing it’s supposed to represent. That’s what’s on offer every time a brand lets AI fill in the details nobody bothered to check — a technically competent version of yourself that could belong to anyone.

AI will never be embarrassed on your behalf. That’s still your job. Don’t let it turn you into stock.

Sources: Marketing-Interactive, July 2026, Canva, State of Marketing & AI Report, 2026, IAB, The AI Ad Gap Widens, 2026, Klaviyo, AI Consumer Trends Report, 2026, PwC, Consumer Intelligence Series, 2026, Fractl, AI Search Consumer Trust Study, 2026, TechCrunch, July 2026, Forbes, November 2025

If you’re into stories about how AI messes things up for marketers, you’re gonna love this.  

I just read a Business Insider piece on how Meta’s AI ad tools keep tripping over their own synthetic feet. 

Picture this. A menswear brand’s model got replaced by someone’s grandmother. A shoe company’s model ended up with a leg bent in a direction human legs don’t bend. An e-bike ad started talking about trunk space, which is a feature bikes famously do not have. 

Oh sure, we’re all familiar with these AI image distortions.  But the difference here is that this stuff actually ran!

I read this the way you’d read a police report about your own house being redecorated while you were at work, by a contractor you never hired, who let themselves in through a window they insist was already open.

Here’s what I can’t get past. AI still can’t be trusted anywhere near creative judgment. It’s a tool, not a colleague, and nobody promoted it to art director while the rest of us were asleep. Meta doesn’t much care whose brand gets mangled in the process, as long as the ad spend clears, because it turns out refunds cost more than reputations, and Meta has done the math on which one it’s willing to pay for. 

And any agency letting these features run on autopilot without checking the output isn’t managing your account. They’re collecting the fee and hoping you don’t read Business Insider.

Nobody Asked, Nobody Told

Quick primer, for anyone who doesn’t live inside Ads Manager. When a brand runs an ad on Meta, they don’t just upload a picture and a headline and walk away. They can turn on a suite of tools called Advantage+, Meta’s AI system that’s supposed to automatically improve the ad while it’s running live: testing different crops, swapping headlines, adjusting who sees it, all in the name of performance. In theory, it’s a machine quietly optimizing your ad. In practice, for a growing number of advertisers, it’s a machine quietly remaking your ad, and not always for the better.

True Classic, a menswear brand that sells almost exclusively to men 30-45, found this out the hard way. They had a top-performing ad running with their usual model, a fit millennial guy in a matching fleece set, exactly who their customers want to see themselves as. Advantage+ decided it had a better idea and swapped him out for a smiling grandmother sitting in an armchair. Not a subtle A/B test. A total cast change, mid-campaign, with zero heads-up. It ran for days before customers started asking the brand what, exactly, was going on. True Classic hadn’t approved the change. They didn’t know it happened until their own customers told them.

It gets better, or worse, depending on your appetite for irony. The CEO of Flat Circle, an agency that manages roughly $100 million a year in Meta ad spend, says the platform’s auto-edit settings re-enable themselves after being manually turned off. Not once. Repeatedly. His team now checks the settings several times a week, permanently, like they’re monitoring a patient who keeps pulling out their own IV.

Who’s Actually Driving

The old chain of command was simple. Agency creates, client approves, platform delivers. Everyone knew their job, and nobody’s job was “surprise.”

The new chain of command is: platform edits, platform decides, and tells you afterward, if you’re lucky. The approval step didn’t get faster. It got skipped.

And this is happening at genuine scale. Global ad spend crosses $1 trillion in 2026 for the first time, with AI-generated creative now approaching 40% of all digital video ads, up from almost nothing two years ago.

Consistency Was the Whole Business Model

Consistency isn’t a design preference, it’s the entire business model. Brands like Rolex, LEGO and Coca-Cola haven’t changed their core visual identity in decades, because sameness is what makes them instantly recognizable at a glance, anywhere in the world. Nobody has to think twice about what they’re looking at. That’s not an accident, that’s decades of discipline.

Research from Lucidpress/Marq, a brand-management research firm, found companies with consistent brand presentation across channels average 10-20% revenue growth, with the most disciplined seeing up to 33%. That’s not a soft, feel-good branding stat. That’s real money, sitting on the table, waiting for a company to either earn it or let an algorithm give it away.

So, when an algorithm swaps your model, twists a product photo or rewrites your headline, as happened to Kirruna, a European footwear brand whose Meta-generated ad showed a model’s leg bent the wrong way, it’s not just an ugly image. It’s actively working against the thing that makes a brand worth more than its product.

It Doesn’t Know Why the Rule Exists

AI is genuinely good at the mechanical stuff: resizing, translating, testing variants. It’s bad at knowing why a rule exists in the first place, because it was never told the rule was a rule. It just saw a pattern and decided to improve on it.

Same reporting, another case: Meta’s AI generated an ad for Lectric, an e-bike company, and rewrote the copy to describe a car’s trunk space instead of the bike. Nobody approved it. Nobody caught it until it was already live and doing damage.

The pitch for using AI was “less work.” The reality is a new job: someone now has to check every AI-touched asset before it airs, and again after, because sometimes the settings drift back to ON whether you asked them to or not.

What This Actually Means For You

Strip away the anecdotes and this is what’s left: a short list of hard rules and the questions you should be asking before you let any of this near your brand.

An opt-out that doesn’t stay opted out isn’t a bug. Verify it weekly or assume it’s by default, on. Every AI-altered asset that airs unchecked is a small withdrawal from your brand’s recognition account. Before any AI tool touches customer-facing content, ask who’s accountable if it’s wrong in public, and if nobody can answer that in one sentence, you don’t have a policy. If a tool needs a full-time human minder, that’s a headcount cost. 

Here are six questions worth asking before you trust it:

• Which of our tools can alter creative without a human sign-off?
• Who’s personally accountable for approving what AI generates?
• Have we actually confirmed our opt-outs are still on this week?
• Do we audit outputs on a schedule or only after a complaint?
• Who makes the final creative call, a person or a settings menu?
• What should AI never be allowed to touch?

Who’s Watching the Software

For two years the fear was AI replacing creative people. Wrong worry. The real one: who’s watching the software when it starts making decisions?

Sources: Business Insider, July 2026; Crypto Briefing, July 2026; Lucidpress/Marq State of Brand Consistency Report; Dentsu Global Ad Spend Forecast 2026

The UK recently put M&M’s on trial. The popular candy-coated chocolate maker just learned that Britain’s new restrictions on advertising foods high in fat, salt and sugar that came into force on 5 January 2026 has teeth. Before that, the rulings under it have been rare enough that marketers were still waiting to see how far the law would reach. Now they know.

Mars ran a paid Instagram ad for M&M’s. No bag of candy in sight. No bite, no crunch, no product shot. Just two cartoon characters, a round green one and an oval yellow one, standing next to the words “For a truly unique event” and a link to the M&M’s website. Mars called this brand advertising, the kind explicitly exempted from the HFSS rules because it promotes an identity rather than a specific product.

Britain’s Advertising Standards Authority disagreed. Funny enough, the green character survived. The ASA ruled it represents a whole range of M&M’s flavors and colors, not one specific product. The yellow one did not. Its oval shape, the regulator found, identifies Peanut M&M’s specifically, a distinct HFSS product in its own right. Same ad, same campaign, same brand. One mascot cleared, one convicted. 

Read that twice. A cartoon character with a face and arms just got treated as a proxy for a product ingredient list. Brand assets are becoming the product in the eyes of regulators, and this is not confined to confectionery. Similar arguments are already surfacing around alcohol, gambling and vaping, categories where the mascot, the color palette or the typeface can carry as much regulatory weight as the thing it is selling.

A Peanut Walks Into A Courtroom.

The complaint came from Bite Back, the food campaign group founded to push for tighter marketing rules on unhealthy products aimed at children. That is the enforcement model now. Advocacy groups file complaints, regulators adjudicate, and the resulting rulings become precedent that reaches well past the original brand. Consumer groups, environmental organizations and health advocates play the same role in Australia, Europe and North America. The complaint is the trigger. The ruling is the weapon.

Mars was not the only brand in the crosshairs of this particular round of rulings. Morley’s Woking, a London chicken chain, got the same treatment for an Instagram meal deal ad showing burgers, wings and fries. Uber Eats, by contrast, walked away clean on ads featuring Burger King, KFC, Domino’s and Papa Johns, because the ASA decided the food shown was not visually tied to one specific HFSS product. The line between promoting a brand and promoting a product now runs through individual pixels, and it moves case by case.

There is something almost absurd about a cartoon candy having its shape cross-examined by a regulator. Highly stylized characters with arms, legs and personalities, deployed on merchandise, clothing and partnerships that have nothing to do with food, being read as product depictions anyway. Absurd, and also entirely real. Creative symbolism has become regulatory evidence, and the brands that dismiss this as a quirky one-off are the ones most likely to be next.

The Writing’s On The Wrapper.

The UK is not moving alone. Chile restricts cartoon characters on unhealthy food packaging and advertising. Mexico has front-of-pack warning labels and advertising reform. Quebec has banned commercial advertising directed at children for decades. Australia is cracking down on greenwashing claims. The US Federal Trade Commission continues to pursue deceptive influencer marketing. The UAE and Saudi Arabia have both tightened rules on influencer disclosure, health claims and misleading advertising. The EU keeps pushing digital advertising transparency and platform accountability further.

Different legal systems, different politics, different starting points, same direction of travel: health claims, environmental claims, influencer marketing, advertising to children, financial promotions, misleading advertising. All converging toward the same demand, that a brand be able to prove what it says and defend what it shows.

The scale of what is driving this is not small. More than one billion people worldwide now live with obesity, according to the WHO and the Lancet’s 2024 global analysis, a milestone reached faster than the World Health Organization’s own projections anticipated. When the underlying public health numbers move like that, advertising law moves with them, and it does not move back.

More Than A Mouthful.

Marketers used to build for three audiences. Consumers, competitors, media. That list now runs longer: regulators, advocacy organizations, politicians, activists, courts, platforms. Every one of them can read a campaign and reach a different verdict than the one your creative team intended.

Reputation and compliance are no longer separate departments. The global influencer marketing industry is now worth more than $32 billion a year, per Influencer Marketing Hub’s 2026 figures, a channel built almost entirely on personal trust and light-touch disclosure. Regulatory scrutiny of environmental claims keeps climbing across Europe, Australia and North America. Enforcement actions involving influencers, greenwashing and undisclosed endorsements keep landing.

AI Has Turned Up the Heat.

The old enforcement model ran on complaints. Someone had to notice, someone had to care, someone had to file. That is changing. AI is increasing the scale and speed of advertising monitoring, which means regulators depend less on the public showing up with pitchforks and more on systems that scan everything, all the time. That does not necessarily mean more regulations. It means more routine investigations under the regulations already on the books, faster identification of misleading claims, undisclosed influencers, inconsistent messaging across markets and cross-border violations that used to slip through because nobody was watching every jurisdiction at once.

Read The Label Before You Print It.

Legal and compliance review needs to happen earlier, not as a final checkpoint before launch but as part of the creative process itself. Brand assets, symbols, implied claims and disclosures all deserve the scrutiny that used to be reserved for the product claims themselves. Before a campaign ships, four questions are worth asking every time.

1. Could a regulator interpret this differently than we intend. 
2. Could another market reach a different conclusion than this one. 
3. Could a brand asset itself become the product, the way an oval yellow candy just did.
4. Could this campaign become tomorrow’s precedent, the case study some other brand’s compliance team cites two years from now.

The M&M’s ruling joins a growing pile of reminders. Greenwashing investigations keep hitting major global brands. Influencer campaigns across the GCC and beyond face rising scrutiny over disclosure. None of these started as headline news. They started as one ad, one complaint, one ruling that nobody outside the legal team read closely enough at the time.

The Sweetest Lesson Of All.

Treat the M&M’s ruling as an early indicator, not an isolated curiosity. The global regulatory environment is tightening steadily, with legal scrutiny of brands rising across industries and jurisdictions, and with different political and legal systems converging, oddly, on the same stricter standards.

The M&M ruling is not really about candy. It is an early warning that marketers everywhere are entering a more heavily regulated era in which distinctive brand assets, once considered marketing strengths, are increasingly becoming legal liabilities.

For over forty years I get paid to find the words that make a product sound irresistible. Biggest, smallest, fastest, new & improved. Also: light, diet, low-fat, sugar-free, natural, organic. And now: sustainable, carbon-neutral, and, currently trending, AI-powered. Every generation of marketers invents its own magic words because every generation of customers falls for different bait. There’s nothing sinister in that. It’s just the business.

What’s changed is that nobody’s treating those words as just marketing anymore. They’re treating them as evidence. And evidence, unlike copy, has to hold up in court.

Recycled, Reused, Re-Litigated

In June 2026 the UK’s Advertising Standards Authority banned ads from Adidas, Calvin Klein and Uniqlo for using the word “recycled” in ways they couldn’t back up. 

Adidas advertised a “recycled shoe range” it turned out didn’t exist. Uniqlo’s fleece was recycled in the parts you could see and not recycled in the parts you couldn’t. Calvin Klein got dinged for implying an entire collection was made from preferred materials when the real number ranged from 20% to 100%. 

Six months earlier the same regulator had done the exact same thing to Nike, Lacoste and Superdry. Six brands. Two rulings. One word. The lesson isn’t about fashion. It’s about the word “recycled” no longer surviving close contact with a lawyer.

The Robot Reads the Fine Print Now

Here’s the part that really changed the game. The ASA didn’t catch any of this from a customer complaint. It caught it with an AI system called Active Ad Monitoring, which scanned nearly 60 million ads in 2025 alone and now accounts for close to half the regulator’s total workload. That intelligence helped resolve more than 40,000 complaints covering over 25,000 ads, resulting in more than 22,000 amendments or withdrawals. 

The old model was: someone gets annoyed, someone complains, someone investigates. The new model is: the machine reads every ad on the internet before breakfast and flags the liars. For decades marketers worried about focus groups. Now we should be worrying about a bot with better reading comprehension than all compliance departments put together.

Every Brand Should Take Notice

Lufthansa, Air France-KLM, Etihad and Virgin Atlantic have all had ads banned for implying that flying with them was somehow kinder to the planet than flying with anyone else. None of these airlines were faking their sustainability investments. Sustainable aviation fuel is real, offset programs are real. What wasn’t real was the insinuation that any of it added up to guilt-free air travel. Progress is not the same thing as permission to round up.

Healthcare Suffers the Same Scrutiny, with Sharper Teeth. In early 2026 the FDA sent Novo Nordisk two separate warning letters in the space of a month for misleading ads by Ozempic and Wegovy, their diabetes and chronic weight management drugs. One of them literally implied superiority over other GLP-1 drugs with no data to support it. Weeks later the agency issued warning letters to 30 telehealth companies for misleading marketing of compounded GLP-1 products, part of a six-month enforcement wave that produced more warning letters than the entire previous decade combined. Meanwhile in France, regulators fined Novo Nordisk close to €1.8 million and Eli Lilly over six figures for “disease awareness” campaigns that never named a drug but, according to the regulator, didn’t need to. Everyone in the room already knew which drug they meant.

Even the Category Name Is a Claim Now

Just to prove the trend has no borders and no mercy, India’s food safety regulator recently issued notices to Red Bull, Sting, Monster and several other brands for calling themselves “energy drinks” (a category that, as it turns out, doesn’t officially exist under Indian food law). Marketers get so comfortable with category language that we stop noticing it’s actually a claim. Apparently regulators noticed for us.

Patriotism, Audited

The FTC launched a “Made in the USA” enforcement sweep in April 2026, settling with sellers of flags, entertainment systems, and footwear for claiming products were American-made when they were partly stitched together in the Dominican Republic and Brazil. One company advertised boots as “handcrafted 100%” domestically while sourcing components from two other countries. “Made in,” “Built in,” and “Designed in” sound interchangeable in a brainstorm. They are not interchangeable to a federal regulator with a customs manifest.

The Cancel Button Is Also Copy

And it’s not just the ad anymore. The FTC’s $2.5 billion settlement with Amazon ($1 billion in penalties, $1.5 billion back to roughly 35 million affected customers) was about Prime enrollment and cancellation flows, not a single banner ad. The checkout screen, the “are you sure?” pop-up, the maze between “cancel” and “confirm cancel,” all of it is now marketing communication, and all of it is now litigable.

The AI Doesn’t Forget What You Deleted

Then there’s the part that actually raises the stakes. BCG found that shopping-related generative AI use grew 35% between February and November 2025. Capgemini found that a quarter of consumers already used generative AI shopping tools in 2025, with another 31% planning to. That matters because an AI assistant doesn’t just repeat your tagline back to you: it cross-references it. It notices when your sustainability page says one thing and your annual report says another. It remembers the claim you quietly walked back last year. Marketing used to compete for attention. It’s now competing for something much harder to fake: consistency across every document you’ve ever published.

Trust Is the New Adjective

Edelman’s latest Trust Barometer puts it plainly: 88% of consumers say trust is an important factor in deciding whether to buy from a brand. That’s not new information: trust has mattered since the first merchant sold the first not so fresh fish. What’s new is how fast it can now be tested, by a regulator, a journalist, a competitor or a chatbot, often within the same week the campaign launches.

What This Actually Means for the Work

The job hasn’t gotten smaller. It’s gotten more interesting. The old question was “how can we make this sound better?” The new question is “how can we make this true enough that nobody, not a regulator, not a rival, not an algorithm, can take it apart?” That’s a harder brief. It’s also, frankly, the brief we should have been writing to all along.

What Marketers Should Actually Do About It

• Treat every claim as something that will eventually be read by a regulator, a competitor, a journalist, and an AI model, because it will.
• Replace the adjective with the number. “Sustainable” is an opinion. “40% recycled polyester, independently certified” is a fact.
• Assume nothing about a fashionable word’s meaning. “Recycled,” “natural,” and “AI-powered” all mean whatever a regulator decides they mean this year.
• Remember that the checkout page, the cancellation flow, and the subscription terms are marketing copy too, and they get read in court.
• Build the proof before you write the headline, not after someone asks for it.
• Get legal and compliance into the room during the creative process, not after the campaign’s already shot.
• Write claims that will still be true in five years, not just until the next sales meeting.
• Stop asking how good your copy sounds. Start asking how fast someone else could prove it wrong.

Sources: European Commission, Green Claims / greenwashing study; UK Competition & Markets Authority; UK Advertising Standards Authority (ASA/CAP), including the ASA and CAP Annual Report 2025 and Active Ad Monitoring briefing; U.S. Federal Trade Commission; U.S. Food & Drug Administration; France ANSM (Agence Nationale de Sécurité du Médicament et des Produits de Santé); India FSSAI (Food Safety and Standards Authority of India); Boston Consulting Group (BCG); Capgemini Research Institute; Edelman Trust Barometer

For forty years, our agency has managed numerous issues for some of the world’s biggest brands across a wide range of industries, from pharmaceutical efficacy challenges to airline disasters, and more.

Our experience spans all kinds of crises: company missteps, consumer activism, corporate attacks, media negativity, and every other imaginable category. From the print media era, through CNN’s introduction of the “all news, all day” news cycle, to the internet’s 24/7 information barrage, we have always navigated the media landscape throughout its evolution.

Today, we’re facing a new threat—one unlike anything we’ve seen before—the rise of misinformation. Of course, there have always been bad actors manipulating the masses through propaganda and media manipulation. But that was before “alternative facts” and “fake news”. It was before everyone became a source for information via social media. Today’s antagonists are far more nefarious. Now they are aided by advanced technology capable of creating highly believable fiction supported by very convincing fake imagery. And this threat is made all the more dangerous by its accessibility—anyone with a computer device can now produce fabricated content.

That means we must alter our tactics and learn how to fight the fake.

The old rulebook for crisis management is no longer sufficient. To survive in the misinformation age, brands need a new playbook, one that not only reacts but also proactively counters the fake narratives before they become a real threat. We need a comprehensive framework that combines new-age and traditional tactics, creating an all-encompassing strategy.

Stay Ahead of the Game – AI-Driven Fact-Checking and Monitoring
The sheer volume of misinformation circulating today means that brands can’t just sit back and hope their messages stick and wait for threats to appear. In a digital age overrun by deepfakes and fake news, sophisticated tools are essential for staying ahead. This is where AI and machine learning platforms such as Brandwatch and Alethea Artemis step in. They serve as your eyes and ears, monitoring for any unusual spikes in activity or patterns that signal a brewing misinformation storm. According to a 2023 report by Forrester, 67% of companies employing AI monitoring systems reported a significant reduction in the spread of false information regarding their brands.

However, no amount of AI wizardry is enough on its own. Pairing these tools with traditional monitoring and PR programs is critical. It’s about merging cutting-edge technology with reliable social listening and maintaining a positive public profile. Press releases, consistent positive media stories, and effective media relations remain the bedrock of defending against misinformation. That’s because the best defense against fake narratives is a continuous flow of real, credible, and positive storytelling that keeps your authentic message front and center.

Be War-Room Ready – Deepfake Response Strategies
When the deepfakes arrive—and they will—brands need strategies that blend tech, timing, and tact. Preemptive digital watermarking is an excellent start. By embedding watermarks into videos or photos, brands ensure there is irrefutable proof of authenticity. This tactic has already been adopted by Reuters and Associated Press, both of which watermark their content to combat the proliferation of manipulated images and footage.

But when the crisis hits, you need more than just watermarked content. A solid response requires a Crisis War Room—a multidisciplinary team that includes PR pros, legal experts, and social media strategists, all ready to respond at the drop of a hat. Importantly, this response team must function as part of an ongoing PR strategy that emphasizes regular engagement, positive media coverage, and public reinforcement of the brand’s values. It’s also just as important to learn when the best response is no response at all—strategic silence can often be more effective than giving legs to a story that may otherwise fizzle on its own. But even in such cases, we must be ready to respond if the threat surges.

Rally the Troops Before the Storm – Build a Pre-Crisis Influencer Network
Influencers have a unique ability to cut through the noise, especially when misinformation starts to spread. Establishing a network of trusted influencers before a crisis hits is like preparing a fire department before there’s smoke. In 2023, Adidas faced allegations about scaling back their sustainability commitments. They didn’t directly engage with the rumors; instead, they activated a network of influencers who shared authentic behind-the-scenes content of ongoing sustainability initiatives, effectively quelling the storm.

But influencers alone aren’t enough. Brands must also cultivate relationships with credible third-party advocates, such as industry experts, analysts, and respected journalists. When Coca-Cola faced backlash over water usage in India, it was independent hydrology experts who helped restore balance to the conversation. Traditional media figures lend authority and add a necessary layer of credibility, reinforcing the message with the weight of established reputations.

Drill for Skills – Simulate Misinformation Scenarios
Practicing responses to misinformation before it happens is the difference between chaos and control. Running misinformation drills—complete with bot attacks and mock fake content—ensures your team knows exactly how to respond, without the panic that comes from improvising. Microsoft implemented these drills in early 2024 to evaluate how prepared their teams were for orchestrated misinformation attacks, identifying gaps and reinforcing protocols.

A “Shadow Crisis Team,” also known as a Red Team, can further stress-test the brand’s defenses by acting like adversaries. Their role is to think like the bad actors: fabricate fake news, release it internally, and measure how the actual team responds. It’s a proactive step that helps identify vulnerabilities, all without the high stakes of a real crisis.

Empathy Wins Over Facts – Counter Biased Manipulation
To counteract misinformation effectively, it’s vital to understand the human tendencies that drive it. Cognitive Bias Training becomes an essential strategy here. People are inclined to believe what aligns with their pre-existing beliefs, which is why false information often spreads like wildfire. We need to craft empathetic messages that recognize these biases. Rather than simply issuing corrections, it’s more impactful to begin by acknowledging, “We understand why this concern has come up, but here’s the truth.” This approach respects people’s perspectives while guiding them towards accurate information.

Equally crucial is Traditional Persuasive Storytelling. It’s not just about debunking falsehoods—it’s about overshadowing them with real, powerful, and inspiring stories about your brand. Testimonials from real customers, consistent positive media coverage, and public relations that emphasize the genuine values and experiences of your brand all play key roles in outshining any fake narratives. The truth told well is still the most persuasive tool in the arsenal.

Quash Myths, Quicker – Rapid Rebuttal Hubs
Since misinformation has a habit of travelling faster than truth, brands need rapid rebuttal hubs. Consider setting up microsites for myth-busting—dedicated platforms that serve as the single source of verified information. Platforms like BrandNameTruth.com give your audience somewhere to turn for the facts. And let’s not forget the classics: press releases and media kits still matter. When Pfizer faced vaccine misinformation, their myth-busting FAQ page was complemented by consistent, clear, and factual press releases, which became a key reference for both consumers and journalists alike.

Live interaction also plays a role. Hosting Crisis Response Webinars to directly address consumer concerns can humanize the brand while correcting misinformation. It’s about being transparent and providing an authoritative voice when confusion arises.

Fast Track the Truth – Platform Collaboration for Content Takedown
Misinformation spreads like wildfire on social platforms, so brands need to be proactive partners. Register your brand as a “trusted flagger” with platforms like Facebook and YouTube, which can expedite the removal of harmful content. Twitter (now X) has a similar mechanism to prioritize legitimate takedown requests from trusted sources.

Yet, when things escalate, it’s essential to maintain traditional media relations. In 2023, when Nestlé was targeted by a viral hoax about product contamination, it was the swift response from established media partners that set the record straight. Established relationships with respected journalists can be the difference between a baseless claim spiraling or being quickly squashed.

Trust Through Transparency – AR and VR for Verification
Imagine being able to take your consumers on a virtual tour of your factory, showing them exactly how your products are made. AR transparency campaigns make this possible, allowing consumers to scan a QR code and witness the production process firsthand. L’Oréal uses AR technology to offer virtual ingredient sourcing tours, providing an immersive way to verify the sustainability claims of their products, adding a new layer of trust.

Similarly, VR factory tours can demystify your supply chain. Allowing consumers to virtually “walk through” your facilities offers a form of transparency that’s difficult to fabricate, ensuring that the real story always stands out.

Mobilize the Masses – Crowdsourced Fake News Detection
Your most loyal customers are also your best allies in combating misinformation. Empowering your audience to report fake news with incentives such as exclusive content or vouchers can be highly effective. When Samsung offered rewards to customers who identified false information about the brand, they successfully curtailed several damaging rumors in 2023.

A Community Defense Network can also be powerful. Equipping employees and brand advocates with ready-made, shareable content allows them to counter misinformation within their own networks. It’s the brand equivalent of neighbors looking out for each other—giving people the right tools to defend the brand they love.

Tell the Truth, Win the Heart – Emotional Storytelling as a Counter-Narrative
Nothing beats a good story—especially when fighting falsehoods. Emotional storytelling should be at the core of your counter-narrative strategy. Real-life testimonials, like those shared by Airbnb hosts during the 2024 pushback on platform safety concerns, can sway perceptions far more effectively than a faceless corporate rebuttal. These stories put a human face to the brand, which is a powerful antidote to faceless misinformation.

And remember, always acknowledge concerns. Instead of immediately dismissing misinformation, start by addressing the underlying fears: “We understand why some may feel uncertain about…” It’s a softer, more nuanced way of inviting the public to hear your side of the story, making them more likely to believe the truth over the lies.

Final Words: Fierce Fake Fighting
In a world where anyone can create convincing fake content, preparing for misinformation is more important than ever. Brands must proactively counter fake narratives using a blend of traditional tactics and a growing arsenal of new-age technology. Leveraging AI tools, engaging influencer networks, empowering communities, sharing emotionally compelling content, and maintaining a thoughtful, ongoing public relations program are all crucial elements. The strongest response to the fake and the negative is an ongoing campaign of the real and the positive, ensuring that the truth about your brand is always heard above the lies.