AI Trust and Context: Publishers' New Competitive Advantage

Advertising has spent years worrying about whether consumers trust it. There may soon be another audience to worry about: AI. A new ANA analysis asked seven leading AI models how they perceive the advertising industry. The result is striking. Economic importance: 9.0/10 Trust: 5.2/10 That gap deserves attention. Because AI is increasingly becoming an intermediary between brands and consumers — helping people research products, compare alternatives and decide what to buy. Which raises a new question for the advertising industry: What happens when the systems influencing consumer decisions don't fully trust the ecosystem producing the information? This is where transparency becomes more than a compliance exercise. Clear provenance. Consistent campaign definitions. Verifiable measurement. Transparent methodologies. Reliable first-party information. These may increasingly influence not only how humans evaluate advertising, but how machines interpret the credibility of the signals surrounding a brand. For years, media transparency has largely been discussed as an advertiser problem: Can we see where our money went? The next version may be broader: Can both humans and machines understand where the information came from, how it was measured, and whether it should be trusted? In an AI-mediated internet, data governance may ultimately become part of brand reputation. Source: https://lnkd.in/dsTpt_QG? #MediaTransparency #AI #DataGovernance #Advertising

Where can AI make advertising smarter, more relevant and more accountable? In The Current’s Advertising Week NY 2026 preview, Infolinks Media CEO Bob Regular calls for a more practical AI conversation focused on what the technology can deliver for marketers today. As search and discovery evolve, he highlights an opportunity for the open internet to demonstrate its value through better signals, smarter technology and stronger measurement that help advertisers reach people in the moments that matter. Read his perspective: https://lnkd.in/g3VBjvtF

The New York Times, AFP and The Economist joined a coalition to control how AI uses their content. On 12 October, they joined SPUR (Standards for Publisher Usage Rights). It now has 80+ members across 20+ countries, including the FT, BBC and AP. What it's building: → Shared standards so publishers can track and control how AI firms use their work → Easier licensing deals → A telemetry standard meant to get AI agents to log and report their use of content, so creators can be paid Why marketers should care: 1. Content is becoming a priced asset, not free fuel. 2. Reach you don't own is fragile. Google organic referrals to 2,500+ sites fell 33% globally between Nov 2024 and Nov 2025 (Reuters Institute, Chartbeat data). 3. Original data, expertise and a direct audience are the hardest things to replace. Source: Reuters via The Star, 13 Oct 2026 Would you rather be paid or cited when AI answers draw on your work? #AI #ContentStrategy #Marketing #Publishing #GenerativeAI

AI is recommending brands. Is it recommending yours? Large Language Models are changing how consumers discover, evaluate and engage with brands.   Drawing on discussions from ISBA’s Digital Performance Steering Group, our latest report explores what this means for advertisers, from understanding visibility and influence to measuring business impact.   Swipe through the key findings below - link to the full report in the comments.

Latest News from UK Tech News: “The Real AI Problem in Marketing is Organisational, not Technical” warns Advertising Production Consultancy Head https://lnkd.in/ea6VeiN4

Before rushing to make deals with AI companies, publishers need to properly evaluate the value of their content. Sajeeda Merali, PPA CEO, sets out what publishers should consider first, including: 🔍 Identify the content audiences value most and can't find elsewhere 🔒 Specialist analysis, proprietary data, and any material that isn’t easily replicated need to be protected and should be priced the highest ⚖️ Distinguish between training rights and retrieval rights 🛠️ Review crawler rules and decide what stays open or restricted 🤝 Choose the route that matches your leverage: bilateral deals, collective licensing, or marketplaces There is no single blueprint, but trusted brands, differentiated content, and direct audience relationships remain the strongest foundations. Read the full feature in InPublishing: https://lnkd.in/eTgeK46m PPA members can access a practical diagnostic framework to identify the most appropriate strategic pathway for their business. Take a look: https://lnkd.in/e7EmA6zC 💡2026 Insight report - navigating the strategic, legal, and commercial challenges posed by large language models. The report draws on a deal tracker covering 73 publicly known AI licensing agreements, a survey of PPA members, expert interviews, and scenario modelling validated by industry experts. Download now: https://lnkd.in/dY4hGjvn #AILicensing #TrustedEditorialBrands #MagazineMedia #MakeItFair

It’s really interesting and, dare I say it, encouraging, to see talk of deals between publishers and AI companies emerging. I risk sounding naive but surely new, original, engaging, factually correct, editorially sound content will be king and queen in the long run, as indeed it always has been. In a world of slop, is the challenge not to be distinctive? Hold your nerve, lean into your brand promise and meet your audience wherever it may be.

AI is changing how audiences discover content — and publishers are being forced to rethink how that content creates value. EMARKETER looks at the different ways publishers are responding to AI-driven traffic loss, from blocking crawlers to new monetization models. We believe there’s another important part of that transition: bringing the AI experience into the publisher’s own environment. Keep the content. Keep the audience relationship. Keep the monetization that already works — and add new revenue opportunities around the conversation. The shift from pages to answers doesn’t have to mean giving up the economics of publishing. Worth a read. https://lnkd.in/dNbsAAZx

AI shopping tools steer buyers to big-box retailers 94% of the time. Lightspeed's CEO Dax Dasilva explains why small businesses are disappearing from AI results, and how better prompts and new AI tools could help local shops fight back in the next wave of commerce.

How do Publishers grow revenue in the age of AI? Supertab and Bertelsmann SE & Co. KGaA will weigh in at International Summit in London on Nov 5. Join us!