Brandi AI Launches New Visibility Framework
Brandi AI has launched a new framework to help brands navigate AI-driven search. The GEO Framework defines Search Engine Optimization (SEO), Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO) as distinct but connected layers of a unified AI visibility system. The company states this approach is a response to the shift in search from simple rankings to more complex, AI-generated answers.
The Brandi AI framework breaks down AI visibility into three distinct layers. First is traditional Search Engine Optimization (SEO) to ensure content is indexed, followed by Answer Engine Optimization (AEO), which structures content for direct answers in snippets and voice search. The final layer is Generative Engine Optimization (GEO), designed to make content a trusted source for AI models like ChatGPT and Google's AI Overviews to cite and synthesize. This layered approach addresses the decline in organic traffic from "zero-click searches," where users get answers directly from AI summaries without visiting a website. While AEO targets concise, factual queries to appear in featured snippets, GEO focuses on creating in-depth, authoritative content on complex topics that large language models will reference. The goal of GEO is not just to rank, but to be cited as a source within an AI-generated narrative. The company's co-founder and CEO is Leah Nurik, a marketing veteran who has worked with over 400 growth-stage software companies. She states that if a brand isn't mentioned in an AI-generated answer, it essentially doesn't exist to the buyer, as AI responses don't just list options—they pick winners. This shift is critical for B2B marketers, as Forrester reports that 95% of B2B buyers intend to use generative AI in a future purchase. These buyers often arrive at vendor websites more informed and with higher purchase intent after interacting with AI tools. Success now depends less on keyword volume and more on becoming part of the AI's "source of truth." Brandi AI's platform provides competitive intelligence to see how often a brand and its rivals appear in AI answers. It offers an actionable framework to identify and fix content gaps, aiming to increase citation rates by improving machine readability without requiring a complete content overhaul.