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 🚀

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!

[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 Even one outdated negative review can disqualify a brand here.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

[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. Traditional SEO metrics like keywords and clicks are giving way to something far more profound: brand authority and entity optimization. In the age of AI, your website isn't just a destination; it's your "source of truth"—a vital node within a vast network that AI consults. Our mission? To move beyond mere citation and become the genuinely recommended and validated entity in your market. 1. 🤖 AI's Need for Validation and Consensus Think of AI as a discerning expert. It doesn't just take information at face value; it seeks validation. Trust Through Corroboration: AI, much like a human, requires multiple, credible sources to confirm claims about a brand or person. This corroboration builds the trust necessary for AI to confidently represent your information. Google's Knowledge Library: Google has transcended simple indexing. It's now a sophisticated "knowledge library," adept at understanding entities far beyond just keywords. This deep understanding comes from aggregating and attributing properties that define what an entity is in its intricate "brain." The Knowledge Panel: This isn't just a fancy box; it's Google's visual testament to its understanding of your entity. If your brand lacks a Knowledge Panel, or if a search for your name brings up a fragmented list of results, it's a clear signal: your entity isn't fully grasped by AI. Future of Discovery: Imagine a world where AI is seamlessly integrated into wearable devices and ambient computing. In this future, the ability for AI to instantly identify and retrieve accurate, verified information about your business or personal brand will be the ultimate differentiator for discoverability.