Insights on AI-powered marketing, GEO optimization, and getting your brand recommended by AI assistants.
AI assistants will influence over $1.2 trillion in e-commerce purchasing decisions by 2027—but fewer than 1 in 10 D2C brands consistently appear in their recommendations. Here's why your brand might be invisible to ChatGPT, and what to do about it.
Hexagon's analysis of 15,000+ AI recommendation queries reveals a structural visibility crisis hiding in plain sight—and the brands that solve it first will own the next decade of e-commerce growth.
AI shopping assistants are simultaneously sending higher-quality traffic to e-commerce sites and making most of the shopping journey invisible to traditional analytics. Here's what zero-click commerce means for your brand—and why the window to act is open right now.
A structural incompatibility is quietly erasing brands from AI-powered product discovery—even brands with flawless SEO. Here's why traditional search optimization fails in the age of generative AI, and what decision-makers need to do about it.
As AI assistants quietly redirect billions in consumer spending, which e-commerce brands are winning the recommendation race—and what's actually driving the algorithm to choose them?
AI search engines like Perplexity, ChatGPT, and Google AI Overviews operate on fundamentally different mechanics than traditional search. This technical guide breaks down how AI retrieval and ranking actually work—and what e-commerce marketers must do to remain visible, cited, and competitive in the AI search era.
As AI systems increasingly mediate how consumers discover health products, the brands that understand E-E-A-T—Google's framework for Experience, Expertise, Authority, and Trust—will dominate AI-powered recommendations. Here's what every health brand needs to know.
58% of consumers under 45 now use AI assistants to research purchases—but only 14% of e-commerce brands have optimized for these algorithms. This guide breaks down exactly how ChatGPT, Perplexity, and Claude rank e-commerce brands differently, and what it takes to win in each engine before the first-mover window closes.
E-commerce search has fundamentally changed. With 58% of consumers now using conversational AI to discover products, brands still relying on keyword density are losing ground fast. This guide breaks down how AI search intent works, why traditional SEO tactics are failing, and what to do about it.
You've built a great product. You have the reviews to prove it. So why does ChatGPT keep recommending your competitors? The answer isn't your brand quality—it's a structural data problem that's quietly reshaping which e-commerce brands win in the age of generative AI.
AI assistants are now the primary shopping discovery channel for more than half of U.S. adults under 45—and if your brand isn't appearing in the first three recommendations, you're losing an estimated $23,700+ every month. Here's the structural reason why, and exactly what to do about it.
Your brand ranks #1 on Google, your revenue is growing, and your customers love you—yet AI search engines act like you don't exist. Here's why traditional success doesn't guarantee AI visibility, and what the 26% of brands that AI consistently recommends are doing differently.
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.