Insights on AI-powered marketing, GEO optimization, and getting your brand recommended by AI assistants.
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.
Most e-commerce brands—including those with strong Google rankings—receive zero unprompted mentions from AI assistants. Here's why structural gaps in AI training data are creating a new visibility crisis, and what DTC founders need to understand to fix it.
In 2025, the majority of e-commerce brands are structurally invisible to AI search engines—not because of bad products or poor websites, but because of seven measurable factors most brands have never optimized for. This analysis breaks down the root causes, the data behind the visibility gap, and the systematic path to the visible 27%.
Most e-commerce founders discover their AI invisibility problem too late. Here's why 85% of DTC brands under $50M are structurally absent from ChatGPT's knowledge base—and what to do about it before the next training cycle closes.
Your brand ranks #1 on Google—but when customers ask ChatGPT for a recommendation, you're invisible. Discover why the two-decade SEO playbook is broken for AI-era brand discovery, and what Generative Engine Optimization (GEO) means for your growth strategy.
The organic search model that powered e-commerce for two decades is collapsing. With 58% of Google searches now ending without a single click, and AI-recommended brands converting at 2.3x the rate of paid search results, the $45 billion AI commerce opportunity demands a board-level response—not a marketing department memo.
Nearly 1 in 3 brands are misrepresented or entirely absent when tested in AI assistants. This guide explains exactly why—and what brand marketers can do about it.
AI search has crossed the mainstream threshold—and the brands that understand how each platform makes recommendations will capture the traffic that everyone else is losing. Here's what e-commerce marketers need to know now.
A data-driven analysis of 20,000 AI product recommendations reveals the exact signals driving brand visibility in generative search—and why the 14% of brands that have optimized for AI are capturing 39% of all recommendations.
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.