Your content isn’t your competitive advantage anymore

Thanks to AI, customers have all the information they want. The challenge now is giving them a reason to trust you.

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    Your best prospective customer just fired up an AI tool and asked for everything about your category and which product it should pay attention to. The information was free and ridiculously easy to find. 

    It’s the same information your marketing team spends its budget producing, packaging, and putting out, thinking it’s irresistible and entirely compelling.

    It isn’t. 

    No matter how the information is conveyed, you remain unchosen. Was the information wrong? No. Was it factual? Yes. But the key problem is this: Information was never what would determine the choice.

    For decades, marketing has run on the assumption that the job is to deliver “the right message, to the right person, at the right moment.”  Rational Unique Selling Propositions. 

    An entire discipline is built on it. SEO, content marketing, “thought leadership,” value-add, programmatic targeting: all of it is machinery for moving information more efficiently. But it’s just information. It has no emotional allure. 

    That comes from brand meaning. Today, without that, you’re invisible.

    To paraphrase the “Godfather of Effectiveness,” Peter Field, the performance marketing revolution spent a decade telling everyone that brand building was old-fashioned and that the smart money belonged in last-click activation. 

    Then AI made that machinery’s core output free and infinite. When anyone can get a (usually) competent answer instantly, information stops being a differentiator. 

    Which leaves one uncomfortable conclusion. Now that AI gives everyone the same information for free, the only thing left to compete on is who’s trusted to deliver it. 

    We are moving from an information economy to a trust economy. That’s unfortunate, as marketers have invested in transactions, not trust, for 20 years.

    Decisions never ran on information

    Information was never doing the initial work. Daniel Kahneman’s two-system model has been marketing orthodoxy for years: People decide based on feeling and then find information to justify the choice they’ve already made. 

    The marketing-specific proof is just as old and just as ignored. Binet and Field’s analysis of the IPA databank found that emotional campaigns are almost twice as likely to drive top-tier profit growth as rational ones.

    Information people pay attention to always arrives wrapped in human signals: tone, congruence, the specificity of lived experience. The brain weighted the emotional, then back-filled with the rational. 

    AI reproduces the rational facts. It cannot reproduce the emotional wrapper.

    That’s why the prospect who has the factual answer still doesn’t move. What’s missing isn’t knowledge. It’s a reason to trust the source enough to act on it. 

    In the language of my book, “Appreciated Branding,” information is expected. Everyone says, “This is why our product is great.” “This is what our product does.” “This is why our product is different.” 

    Today, that isn’t marketing. It’s noise. And AI is picking it apart like a machine.

    Only the human layer, where relevance, interest, and surprise live, gets you chosen. That is the gap between a brand that’s making noise and one that’s earning trust. Transmit information alone, and you stay exactly where most brands live: the Plateau of Indifference.

    The market is already re-pricing trust

    The data shows this change. In Edelman’s 2025 Trust Barometer, for the first time, trust now ranks equal to price and quality in purchase decisions, and 80% of people say they trust the brands they already use, versus 54% for government and 55% for media. 

    At the same time, trust in social media has fallen to an all-time low of 42%, compared with 63% for search engines, and the share of people who believe business leaders deliberately lie jumped 12 percentage points in a single year. 

    Audiences are getting better at detecting the absence of a human behind a message. And critically, worse at forgiving it.

    Look at what audiences actually reward, and the same signal appears. The BBB National Programs/NAD Influencer Trust Index found that authenticity, as much as I hate the word applied to marketing, is the cornerstone of trust.

    And standard “#ad” disclosures barely move it. Why? People aren’t reacting to the information they’re reading. They’re reacting to the human delivering it.

    To be clear, this is not “people trust creators more than brands.” In some studies, influencers are trusted less than general advertising, and 76% of consumers say they would trust an AI influencer for a product recommendation. 

    But that cuts the same way: the instant a human signal can be manufactured at scale, audiences start hunting for the genuine, and a backlash builds against anything that feels like a shortcut. The unit of advantage isn’t “video” or “creator” as a format. It’s relatability and lived specificity, the qualities that can’t be synthesized durably. That’s exactly what makes them scarce. 

    And scarcity is what gets priced.

    The CFO question

    This is the part for the finance team. AI has commoditized the information layer, the one most marketing budgets are still built to win. But almost no one is investing in the human-signal layer, and that’s the layer that impacts decisions.

    The ad holding companies are doubling down on media buying and performance, even as what moves people remains stubbornly human. 

    The bold truth for CFOs: You are spending to win a race that’s already over, and under-funding the only one left.

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    This is not a case for abandoning performance marketing. The 60:40 split was never meant to be zero on either side. It is a case where the ratio quietly inverted, that “transactions, not trust” describes where two decades of budget actually went. 

    AI just made the bill come due.

    The fix isn’t more content. The internet has more content than anyone wants, which is why trust is so low. The fix is to spend against the one thing AI can’t produce: credible evidence that a specific human stands behind what you’re saying.

    In an earlier column, I said that AI surfaces the brands with the clearest meaning. That’s the machine side of this shift. Now we are talking about the is the human side, and it lands in the same place. When everyone has the same information, the brand that’s trusted to deliver it wins. 

    The marketers who grasp that will compound trust while their competitors compound content. 

    The rest will learn the hard way that the fastest route to becoming replaceable is to spend more money to sound exactly like the machine that works for free.


    Contributing authors are invited to create content for MarTech and are chosen for their expertise and contribution to the martech community. Our contributors work under the oversight of the editorial staff and contributions are checked for quality and relevance to our readers. MarTech is owned by Semrush. Contributor was not asked to make any direct or indirect mentions of Semrush. The opinions they express are their own.

    Reid Holmes
    Founder, CEO, speaker, author, consultant

    Reid Holmes is TEDx speaker, an award-winning creative director, best-selling author, award-winning keynote speaker, and founder of House of Holmes Idea Labs.

    With over 30 years of experience in branding and creative strategy, he’s worked with some of the world’s most iconic marketing leaders at brands like Burger King, H&R Block, and Mayo Clinic and others. His work has been recognized by most every award show in advertising, but more importantly, it has driven results. 

    Throughout his career, Reid has seen how CMOs are not set up to win. Their success is measured by the sales curve, yet the sales team reports directly to the CEO; customer Service is reporting to Operations; or most critical, paid performance marketing leaves no room for top of funnel investment. 

    Reid’s mission is to change this for CMOs so they can drive the results their CEOs expect. Particularly as AI enters the chat and brand marketers are left to figure out how yet another tool must deliver results. 

    This is why he wrote the book Appreciated Branding. It’s all about small bets that earn appreciation in the marketplace and in the algorithms long before asking for the sale. Proactively solving bigger problems for consumers makes the brand and its values understood, cared about, “surfaced” in AI and customers motivated to act long before the inevitable “call to action.’

    Having raised three children, Reid lives in the twin cities with his wife Katy, a dog and a cat with attitude problems. 

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