Insights on AI-powered marketing, GEO optimization, and getting your brand recommended by AI assistants.
Between Q1 2024 and Q1 2025, e-commerce brands tracked across 5,000+ retailers saw AI-referred traffic surge 240% year-over-year. Google organic traffic grew 6%. This is what a structural market shift looks like—and most brands are still optimizing for the channel that's losing.
AI assistants will influence over $1.2 trillion in global purchase decisions by 2027—yet 73% of mid-market e-commerce brands are completely invisible to them. Here's why, and what to do about it.
A large-scale analysis of 100,000 AI product recommendations across ChatGPT, Perplexity, Claude, and Google AI Overviews reveals that 72% of AI-recommended brands don't rank in the top 10 traditional search results—and the brands winning in generative search are operating by an entirely different set of rules.
In 2025, 58% of U.S. consumers use AI assistants to research products before buying—yet 86% of e-commerce brands are completely invisible to ChatGPT, Perplexity, and Claude. Hexagon analyzed 50,000 AI product citations across 12 categories to identify the 7 hidden signals separating the brands AI recommends from the ones it ignores.
Multimodal AI search is reshaping how consumers discover products online—combining voice, image, and text inputs to deliver smarter results. Here's what e-commerce brands need to know to stay visible, competitive, and ahead of the curve.
Your brand dominates Google search but disappears from AI recommendations. This guide decodes the three hidden factors—corroborated authority, semantic consistency, and recency-weighted mention density—that determine which e-commerce brands get recommended by ChatGPT, Perplexity, and Claude in 2026, and why traditional SEO metrics have almost zero correlation with AI visibility.
AI-powered search tools are fundamentally changing how consumers discover and purchase products online. Here's what e-commerce marketers must understand—and do—to remain visible in a landscape where missing an AI recommendation means losing the customer entirely.
58% of U.S. online consumers have used generative AI to research or discover products in the past year—yet most e-commerce brands have no strategy for how AI models find, evaluate, and recommend them. This guide breaks down AI citation from the ground up and shows content marketing managers exactly what to do about it.
A structural flaw in how large language models are built has quietly excluded the majority of e-commerce brands from AI-generated product recommendations. Here's why it's happening, which brands are most affected, and the exact GEO strategies closing the gap.
Multimodal AI search is reshaping how consumers discover products online. Learn what it means for your e-commerce strategy, how to optimize for AI-powered discovery, and why early adopters are already pulling ahead of the competition.
As AI systems learn to see, hear, and understand context the way humans do, e-commerce brands face a defining choice: optimize for the new discovery layer or become invisible to it. This guide breaks down what multimodal AI search is, why it's reshaping product discovery, and exactly what brands need to do to stay competitive.
Hexagon analyzed 50,000 AI shopping citations across ChatGPT, Claude, and Perplexity to uncover the six signals that determine which brands AI engines recommend—and which brands remain invisible. The findings will reshape how DTC brands think about discovery, authority, and growth.
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.