Insights on AI-powered marketing, GEO optimization, and getting your brand recommended by AI assistants.
Cross-border e-commerce is projected to reach $1.3 trillion by 2026—yet most global brands are completely invisible in non-English AI search results. Here's what international GEO actually requires, and why the window to act is closing faster than most marketers realize.
Only 2% of e-commerce brands capture 60% of all AI search citations. Here's what separates them from everyone else—and how your brand can close the gap before the window shuts.
A customer asks an AI assistant about your best-selling product. The AI confidently recommends a variant that doesn't exist, at a price you've never charged. The customer blames your brand. Here's what every brand leader needs to know—and do—right now.
Emerging e-commerce brands are winning on Google—and losing to competitors in AI. Here's why training data exclusion is already costing brands millions in redirected purchase intent, and what to do about it today.
In late 2024, Hexagon analyzed over 100,000 AI-generated product recommendations across ChatGPT, Perplexity, and Claude. The finding was stark: only 3–5% of e-commerce brands received consistent citations—yet 58% of consumers now use generative AI to research products before buying. This guide reveals the citation patterns, why they matter, and the specific moves that separate the cited few from the invisible majority.
AI-assisted product discovery has overtaken traditional search as the fastest-growing e-commerce channel—but most brands are still optimizing for the wrong engine. Here's what generative AI actually looks for when deciding which products to recommend, and how to build a content strategy that wins at every stage of the AI search journey.
AI crawlers from OpenAI, Perplexity, and Anthropic are visiting your e-commerce site daily—but over 60% of your product data is completely invisible to them. Here's the technical guide marketers need to turn product pages into AI-visible assets that drive brand mentions in ChatGPT, Perplexity, and Gemini responses.
What separates the brands AI confidently recommends from those it ignores entirely? Hexagon analyzed more than 100,000 individual AI citations across ChatGPT, Perplexity, Claude, and Google AI Overviews to find out—and the findings should reshape how every DTC marketer thinks about content, PR, and discoverability.
What if the SEO playbook that built your organic traffic over the last decade is now actively irrelevant—not broken, not diminished, but architecturally invisible to the engines your audience is increasingly using to find answers?
Google's quality framework has quietly become the blueprint for AI-powered discovery. Here's what marketers need to know about optimizing E-E-A-T signals for both traditional search and generative AI engines—and why the brands that invest now will dominate the next era of search.
Hexagon analyzed 50,000 AI shopping queries across ChatGPT, Perplexity, and Claude to identify the ranking factors driving product recommendations in 2026. The findings fundamentally contradict traditional SEO logic—and only 8% of DTC brands are prepared.
Your product ranks #1 on Google—but AI assistants are recommending your competitor instead. Here's what generative engines actually evaluate when deciding which products to recommend, and how product managers can close the gap.
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.