Insights on AI-powered marketing, GEO optimization, and getting your brand recommended by AI assistants.
AI hallucinations aren't a future risk—they're actively damaging brand equity today. Learn why consumers blame your brand (not the AI) for false product recommendations, and how to build a comprehensive protection strategy before the damage compounds.
In 18 months, AI shopping assistants have become the dominant new discovery channel in e-commerce—driving $194 billion in transactions while 86% of brands have no strategy to rank in them. This guide decodes the 12 ranking factors that actually determine AI visibility, explains the 83% gap between traditional SEO and AI recommendations, and shows exactly how to build the claim infrastructure that generative engines reward.
AI search is now a mainstream product discovery channel—and it operates on a completely different signal hierarchy than Google. This guide breaks down the 12 factors that actually drive AI brand recommendations, backed by data from 5,000 analyzed recommendations, so e-commerce brands can prioritize the right optimizations before competitors do.
An estimated 80% of e-commerce brands receive zero mentions when AI assistants recommend products—not because of poor marketing, but because of how LLMs are trained. Here's what's driving the gap, and how to close it before the next retraining cycle.
After analyzing 100,000 AI citations across ChatGPT, Perplexity, and Claude, Hexagon identified the precise signals that separate discoverable e-commerce brands from the invisible majority—and the replicable strategies any mid-market brand can use to close the gap before 2027.
Your brand ranks on page one of Google—but when someone asks ChatGPT for a recommendation in your category, you're nowhere to be found. This guide breaks down the hidden AI discoverability factors that traditional SEO completely ignores, and exactly how to fix them.
Your e-commerce brand could be doing everything right—and still be completely invisible to the AI assistants that are rapidly becoming the dominant product discovery channel. Here's why structural training data bias is creating an unbreakable competitive moat, and what forward-thinking brands can do about it before the window closes.
With 58% of U.S. consumers now using AI to research products before buying, brand invisibility in AI systems isn't a technical inconvenience—it's a revenue crisis. Here's why most e-commerce brands are structurally excluded from AI training data, and how to achieve real visibility within weeks.
AI crawlers now account for 18% of all web traffic—and they're reading your product pages completely differently than Google does. Here's the technical survival guide for e-commerce marketers who've mastered traditional SEO but haven't yet prepared for the AI search era.
When a customer asks ChatGPT to recommend the best wireless earbuds, only a handful of brands make the cut—and the rules determining who gets recommended have nothing to do with your Google ranking. Here's what e-commerce brands need to know about the algorithms reshaping product discovery.
A Hexagon study of 50,000 AI-generated product recommendations reveals a stark 82/18 visibility split—and the specific, measurable authority signals separating brands that get cited from those that simply don't exist in the AI-driven discovery landscape.
With 55% of U.S. consumers now using AI to discover products, e-commerce brands invisible to ChatGPT are losing customers to a structural data problem—not a marketing failure. Here's what's causing it and exactly how to fix it.
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.