⭐ State of AEO 01/15 – Brand Representation in the Age of AI
[State of AEO Call Recording] [State of AEO Slide Deck] [The AEO Semantic Entity Guide] Julian continued this week by moving from Indexability to the second pillar of the BRAIN framework: Brand Representation. While ensuring AI can access and understand your content is foundational, truly becoming the recommended answer requires building a robust, machine-readable brand identity. The shift is from merely being seen to being recognized, understood, and trusted by AI. 1. 🤖 Branding for Machines: Facts, Not Feelings Gone are the days when branding was solely about human emotion and connection. For AI, a brand is a collection of factual, verifiable data points. Corroboration is Key: AI builds "trust" through corroboration. If a fact about your brand is consistently found across multiple, validated sources, AI gains confidence in its accuracy. The Knowledge Graph: Google's Knowledge Graph is a prime example of this. Brands gain entry and authority by demonstrating a sustained, validated presence across the internet, historically through curated sources like Wikipedia, and now through an ever-expanding web of interconnected data. Structured Data as the Language: Visual persuasion for humans is no longer enough. AI agents interpret the world through structured data (Schema markup), which is the "only way they get to understand, classify, index, retrieve, and send information back to the user." 2.🛍️ Brand Density: Your Footprint in the AI Landscape Julian introduced the concept of Brand Density—a measure of how much space your brand occupies in the digital places that matter for AI. Volume & Weight: It's not just about how many mentions you have, but also the authority and relevance (weight) of those mentions.