Insights on AI-powered marketing, GEO optimization, and getting your brand recommended by AI assistants.
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.
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.
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.