Insights on AI-powered marketing, GEO optimization, and getting your brand recommended by AI assistants.
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.
An estimated 85% of e-commerce brands are structurally invisible to AI recommendation systems—not because of poor marketing, but because of how large language models are trained. Here's what's happening, why it's accelerating, and how forward-thinking brands are closing the gap.
A six-month analysis of 100,000 AI product recommendation citations across ChatGPT, Perplexity, Claude, and Google AI Overview reveals a brutal market reality—and a clear, actionable path for e-commerce brands willing to move first.
AI-powered product discovery is no longer a marketing experiment—it's a structural shift in e-commerce unit economics. Brands achieving top-3 AI recommendation positioning report 72% lower customer acquisition costs, 3.5x higher average order values, and customer cohorts that stay 28–35% longer. Here's what CFOs and growth leaders need to understand before the 2027 inflection point arrives.
Visual search is no longer a novelty feature—it's becoming the default discovery channel for the highest-spending consumer demographics. This guide breaks down how multimodal AI systems read, rank, and recommend products, and exactly what e-commerce brands must do to capture disproportionate AI recommendation share before competitors do.
What if the SEO strategy that took years to build is now invisible to the channel where your next customer is already searching? For a growing number of e-commerce brands, that isn't a hypothetical—it's the reality of AI-powered search in 2025.
In Q2 2025, 63% of U.S. online shoppers used an AI assistant for product research in the past 90 days. By end of 2026, these interactions will influence $80 billion in e-commerce revenue. The citation hierarchy is forming now—and 74% of all AI-driven referral traffic flows to just 3 brands per product category. This is not a 2027 planning issue. It's a current-quarter revenue problem.
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.