Insights on AI-powered marketing, GEO optimization, and getting your brand recommended by AI assistants.
As AI shopping assistants reshape how consumers discover and buy products online, one question is becoming urgent for every e-commerce brand: are you visible where your highest-intent customers are already looking?
AI-powered shopping recommendations are projected to influence $194 billion in U.S. e-commerce spending by 2026—yet only 27% of brands will receive a single citation. Here's what separates the visible from the invisible, and how to close the gap before the window closes.
You've invested in SEO, content marketing, and paid social—but when potential customers ask ChatGPT for product recommendations in your category, your brand doesn't appear. Here's why 85% of DTC and emerging e-commerce brands are structurally absent from AI knowledge bases, and the actionable roadmap to fix it before the window closes.
An estimated 85% of e-commerce brands are systematically excluded from AI-generated product recommendations—not because of product quality, but because of structural mechanics in how LLMs are trained, filtered, and deployed. As the AI-assisted e-commerce market races toward $36 billion by 2030, the window to close this visibility gap is narrowing fast.
Three percent of e-commerce brands dominate 71% of AI product recommendations. Here's what's driving that concentration, why the commercial stakes have never been higher, and exactly how emerging brands can still claim their share before the window closes.
A measurable, structural hierarchy now determines which e-commerce brands get recommended by AI assistants—and which ones don't exist. Here's the diagnostic framework to find out where your brand stands, and what to do about it.
Hexagon analyzed 50,000 AI citations across ChatGPT, Perplexity, and Claude to uncover the exact signals driving e-commerce brand recommendations in the generative search era—and the results challenge everything most brands assume about search visibility.
When a consumer asks ChatGPT to recommend the best sustainable running shoe brand, does your company even exist in the answer? For the vast majority of e-commerce brands launched in the past two years, the answer is a silent, invisible no—and the clock to change that is already ticking.
Hexagon's analysis of 50,000 AI-generated shopping recommendations across ChatGPT, Perplexity, and Claude reveals that the brands winning in AI-powered discovery aren't the ones with the biggest SEO budgets—they're the ones who understood the rules changed first.
AI search is projected to influence $54 billion in U.S. e-commerce revenue in 2026—but only four platforms are generating meaningful sales. Here's the data-driven framework brands need to stop spreading resources thin and start capturing disproportionate AI recommendation share before the first-mover window closes.
An estimated 82% of e-commerce brands are completely invisible to AI assistants like ChatGPT, Perplexity, and Gemini—not because of product quality, but because of a structural training data crisis that's about to get worse. Here's what's causing it, who's most at risk, and exactly how to fix it before the 2026 training cycle locks you out permanently.
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.
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.