[State of AEO Call Recording] [State of AEO Slide Deck] [The AEO AI Readiness Guide] Julian surfaced the core challenge facing AEO practitioners: knowing about AI is not the same as using it at a level that changes business outcomes. The session mapped a realistic path from passive AI awareness to agentic proficiency — and why closing that gap matters now. 1. 📊 The Proficiency Gap: Community survey shows most members stuck at mid-level use — aware and prompting but not yet operating at an advanced or agentic level. 2. 🪜 The Proficiency Ladder: Three levels — chatbot prompting, workflow automation (n8n), and agentic coding (Claude Code) — each unlocking meaningfully different output quality and speed. 3. ⚡ AI as Culture: Like electricity in factories, layering AI onto manual workflows produces minimal gains — processes must be redesigned as AI-first from the ground up. 4. 🛠️ The Marketing Engineer: A hybrid role combining technical build skills with marketing judgment — the person who knows what's possible and, critically, what's worth building. 5. 🚀 Empowerment Over Headcount: Small businesses have the better opportunity — use agentic orchestration to scale capability exponentially without scaling cost or cutting team members. Thank you for making us a #1 bestseller! The revolution is officially here. [Link to The AEO Blueprint on Amazon]

Hey AEO Community! - 🎥 Here you'll find the latest "State Of AEO" call recordings. - ❓Also you'll be able to ask questions in advance! (Specially useful for people that cannot make it to the call!) So every week make sure to: 1️⃣ Check out the latest "State of AEO" call recording. 2️⃣ Send Us your questions to the next Call!

Hey everyone! 👋 Julian will be away until the end of May. In the meantime, we’ll keep things active here with valuable resources, course content, and practical AEO insights for you all. Feel free to stay engaged, ask questions, and share your thoughts and let’s keep the momentum going 🚀

[State of AEO Call Recording] [The AEO Semantic Entity Guide] The digital landscape is constantly evolving, and for businesses to thrive, we must anticipate the next wave. In our latest session at the State of AEO call, we reinforced a critical truth: the game has shifted. As Steve Jobs once said, we must "create relevance, not awareness." AI has placed itself directly in the middle of the customer discovery phase. Users are now delegating their research entirely to AI, which means our sole focus must be on the "moment of truth"—the exact instant AI decides which brand to recommend. Your website is no longer the final destination; it is a data source meant to feed information out to AI platforms. 1. 🔍 The "Answer Budget": How AI Discovers and Validates Brands Think of AI as a highly efficient, yet energy-conscious human researcher. It doesn't blindly go to a brand's website first to see if they are the best; instead, it follows a logical "Answer Budget" workflow: - Phase 1 - Research (The Blogosphere): AI does not go to your website first. It scans industry-relevant blogs, expert reviews, and comparison sites to identify which brands even exist in the marketplace for a specific solution. - Phase 2 - Validation (The Community): Next, AI looks for consensus. It scans review sites, Reddit, Quora, and social media to validate user opinions and ensure the brand's reputation is overwhelmingly positive. Even one outdated negative review can disqualify a brand here. - Phase 3 - Fetching (The Brand Site): Only after AI has made up its mind about recommending your brand does it finally go directly to your website to pull specific product details, pricing, and features. 2. 📱 The Modern SERP & The Future of Discovery The traditional search engine results page (SERP) as we knew it has permanently transformed.

[State of AEO Call Recording] [State of AEO Slide Deck] [The AEO Semantic Entity Guide] The digital landscape is constantly evolving, and for businesses to thrive, we must anticipate the next wave. Julian's latest session at the State of AEO call reinforced a critical truth: the game has shifted. Optimizing for the first page of Google is no longer enough. In the era of AI, we are running an influence campaign. Unlike traditional search, which ranks a few individual pages, AI has the capacity to pull from hundreds of different sources simultaneously to form an opinion about your brand. Our mission? To understand how AI synthesizes this massive ecosystem of data so we can engineer our businesses to be the undeniably recommended solution. 1. 🔍 The "Answer Budget": How AI Discovers and Validates Brands Think of AI as a highly efficient, yet energy-conscious human researcher. It doesn't blindly go to a brand's website first to see if they are the best; instead, it follows a logical "Answer Budget" workflow: - Phase 1 - Discovery (The Blogosphere): AI first consults industry-relevant blogs, review sites, and deep-dive content to gather a broad sample of brands that provide the solution to a user's problem. - Phase 2 - Validation (The Community): Next, AI turns to second-order websites to qualify those brands. It scans Reddit, community forums, social media, and directories to check public consensus, positive reviews, and real-world reputation. - Phase 3 - Fetching (The Brand Site): Only after AI has made up its mind about recommending your brand does it finally go directly to your website to pull specific product details, pricing, and features. 2. 📱 The Modern SERP & The Future of Discovery