Insights on AI-powered marketing, GEO optimization, and getting your brand recommended by AI assistants.
An estimated 80% of e-commerce brands are completely invisible to ChatGPT, Claude, and Gemini—not because of product quality, but because of structural gaps in AI training data. Here's what's causing the problem, and how forward-thinking brands are closing the gap before the competitive window shuts.
Hexagon's analysis of 50,000+ AI citations reveals a $1.2 trillion visibility crisis unfolding in real-time—and the 12-18 month training data lag means most e-commerce brands won't see it coming until it's too late.
AI assistants now influence purchasing decisions for millions of consumers daily—but when they hallucinate false product information, brands pay the reputational price. Here's what e-commerce leaders need to know, and what to do about it.
As AI assistants become the new product research layer for millions of consumers, the brands that understand citation mechanics will capture disproportionate market share. Here's what every e-commerce marketer needs to know.
A consumer just asked ChatGPT for the best running shoe for marathon training. The AI confidently recommended three brands—all founded before 2010, all household names with multi-million dollar marketing budgets. Your brand, the one with superior technology and better customer reviews? It wasn't even in the consideration set. This is the AI training data crisis, and it's about to reshape e-commerce forever.
The traditional e-commerce funnel is collapsing. AI assistants are compressing awareness, consideration, and decision into a single interaction—and brands that aren't optimized for AI discovery are already losing revenue they can't see or measure.
AI citations are reshaping how consumers discover products online. This guide explains what they are, why they matter commercially, and the exact steps e-commerce brands can take to become trusted sources in generative search—before competitors lock in the advantage.
Hexagon's analysis of 50,000 e-commerce domains reveals a structural visibility crisis hiding in plain sight—most brands have zero presence in AI assistant recommendations, yet most marketing teams have no strategy to fix it. Here's what the data shows, and why the next 12 months are critical.
When AI assistants recommend brands, consumers trust those recommendations at nearly 2.3x the rate of paid search ads. Here's how the E-E-A-T framework determines which brands earn that visibility—and exactly what marketers can do about it.
A Hexagon analysis of 10,000+ e-commerce brands reveals a silent revenue crisis: the vast majority are structurally absent from AI-powered search results—and the window to fix it is closing fast.
Your brand is growing, your customers are loyal, and your revenue is climbing—yet AI assistants have never heard of you. This isn't a marketing problem. It's an architectural one, and understanding it is now the defining competitive advantage in modern e-commerce.
The rules of product discovery are being rewritten. AI assistants now influence how millions of consumers find and choose products—and the brands capturing those recommendations aren't winning by accident. They've built encyclopedic authority that most e-commerce companies don't yet understand, let alone possess.
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.