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Wikipedia has become one of the quiet foundations of modern AI. In this episode, Daniel explores why large language models rely so heavily on Wikipedia, both as training data and as a real-time citation source. Its concise structure, dense linking, and topic-first writing make it ideal for machines, even as fewer humans read it directly. Daniel is joined by Bill Beutler, founder of Beutler Ink, who works inside Wikipedia’s rules to help organizations correct inaccuracies and navigate notability standards. Bill explains how Wikipedia’s volunteer model, conflict-of-interest policies, and reliance on independent journalism shape what appears there, and why most brands misunderstand how the system actually works. The conversation surfaces a deeper risk: if AI reduces traffic to publishers, the sources Wikipedia depends on may shrink, making verification harder over time. As AI leans more heavily on Wikipedia, the health of that knowledge pipeline becomes a shared concern. This episode looks past hype to examine how AI is reshaping truth, reputation, and the infrastructure we increasingly depend on but rarely see. 🔑 What You’ll Learn in This Episode ✅ Why Wikipedia is a top citation source in AI answers, and why that changed recently ✅ How Wikipedia’s conflict-of-interest rules actually work in practice ✅ Why “undisclosed paid editing” is so hard for the volunteer community to police ✅ What Wikipedia’s “notability” standard is really screening for ✅ How brands can improve accuracy without turning Wikipedia into marketing ✅ What might happen if AI hollows out the sources Wikipedia relies on🔗 Resources & Links 🏢 Beutler Ink: https://www.beutlerink.com 🔎 The Notability Company: https://thenotability.co 📚 Beutler Ink’s Wiki Resource Library: https://www.beutlerink.com/wiki-resou... 🤝 Connect with Bill on LinkedIn: / williambeutler 📩 Subscribe to the Artificial Insights newsletter for key takeaways: https://manary.haus/podcast/#haus 👉 Have a guest in mind? Reach out to Daniel at daniel@manary.haus💬 If your brand is being “summarized” by AI, pull up the citations and audit the Wikipedia trail. Share this episode with the person who owns reputation, comms, or search in your org.