Insights on AI-powered marketing, GEO optimization, and getting your brand recommended by AI assistants.
Your brand ranks on Google, drives traffic, and converts customers—yet AI assistants act like you don't exist. This isn't a visibility problem. It's a structural training data problem, and understanding it is now a commercial imperative.
AI-powered product discovery now influences over $1 trillion in annual e-commerce revenue—yet 85% of brands receive zero mentions when consumers ask AI assistants for recommendations. This isn't a product quality problem. It's a training data architecture problem, and understanding it is the first step to solving it.
In 2024, AI engines quietly rewrote the rules of brand discovery. Hexagon's analysis of 100,000 citation instances reveals the exact trust signals separating the 7% of brands capturing 64% of all AI recommendations—and the actionable framework to join them.
For the first time, a systematic analysis of 100,000 AI citations across ChatGPT, Perplexity, Claude, and Google AI Overviews reveals the authority signals that determine which e-commerce brands AI recommends—and which it ignores.
A structural economic phenomenon is quietly reshaping how consumers discover products. AI recommendation concentration has reached a Gini coefficient of 0.82—more unequal than U.S. household income—and the brands that act now will build moats that compound for years. Here's what every CMO needs to understand before the window closes.
Your e-commerce brand is invisible to AI—and the clock is ticking. This guide breaks down exactly why 85% of post-2020 DTC brands have zero representation in major AI language models, and delivers the specific six-month playbook to fix it before the next training run locks in the competitive landscape for years.
Hexagon analyzed 100,000 citations across ChatGPT, Perplexity, and Claude to uncover the measurable signals driving brand authority in generative search—and found a 38% optimization gap that most brands haven't even identified yet.
A six-month analysis of 50,000 AI shopping recommendations across ChatGPT, Perplexity, and Claude reveals that brand visibility in generative AI is determined by seven measurable, replicable signals—not ad spend or company size. Here's what separates the brands winning AI recommendations from the 92% that remain invisible.
68% of e-commerce brands under $50M are effectively invisible to ChatGPT—but invisibility has a diagnosis and a cure. This five-layer audit reveals exactly where your brand stands and what to do about it before the Q4 2026 training window closes.
AI search is now a $142 billion revenue channel—and the brands winning it aren't using traditional SEO. Here's what the algorithms actually reward, platform by platform.
A systematic analysis of 10,000 AI citations across ChatGPT, Perplexity, and Claude reveals a stark concentration problem: 72% of AI-generated product recommendations draw from fewer than 20 domains per category. Here's what separates the brands that make the shortlist from the ones that don't.
A proprietary analysis of 75,000 AI-generated recommendations reveals the 12 citation authority patterns separating brands that dominate AI search from those that remain permanently invisible—and the 90-day playbook to close the gap.
Hexagon helps brands optimize for AI search engines and get recommended by ChatGPT, Perplexity, Claude, and Gemini. Our blog covers Generative Engine Optimization (GEO), AI marketing strategies, and how to improve your brand's visibility in AI-powered search results.