Insights on AI-powered marketing, GEO optimization, and getting your brand recommended by AI assistants.
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.
What if the brands spending millions on SEO, paid social, and influencer campaigns are simultaneously becoming invisible to the fastest-growing discovery channel in e-commerce history—and have no idea it's happening?
An estimated 85% of e-commerce brands receive zero AI citations when consumers ask ChatGPT, Claude, or Perplexity for product recommendations. The reason isn't product quality—it's training data cutoffs. Here's what every e-commerce brand needs to understand before the 2026 window closes.
What separates the brands that dominate AI-generated product recommendations from the thousands that never appear—and what the data reveals about the rapidly closing window to build a durable competitive moat in generative search.
ChatGPT processes over 10 million product-related queries every single day—but there's an 80% chance your brand won't appear in a single one of them. Here's the structural reason why, and the exact roadmap to fix it before the window closes.
A new large-scale analysis of 50,000 AI product recommendations across ChatGPT, Perplexity, Claude, and Google AI Overview has uncovered 12 measurable signals that explain 85% of why certain brands get recommended—and why most brands remain completely invisible. Here's what the data reveals.
AI search engines are rewriting the rules of digital visibility. With 58.5% of searches now ending without a single click, brands clinging to legacy SEO playbooks are losing ground fast. Here's what generative engine optimization (GEO) actually requires—and why the window to move first is closing.
Your brand dominates traditional search rankings—but when B2B buyers ask AI assistants to recommend vendors in your category, you don't exist. This is the GEO visibility gap, and it's already costing you revenue.
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.