Insights on AI-powered marketing, GEO optimization, and getting your brand recommended by AI assistants.
An estimated 85% of mid-market e-commerce brands are systematically invisible to AI assistants that now influence 58% of consumer purchase decisions. Here's the structural reason why—and a four-phase roadmap to close the gap before the competitive window closes.
AI shopping assistants are actively parsing, synthesizing, and ranking your customer reviews to power product recommendations. Here's what brands need to know—and do—to win in the $1.2 trillion AI commerce opportunity.
Fifty-eight percent of young U.S. consumers now use AI assistants to research products before buying—yet most e-commerce brands have zero control over how AI systems represent them. Learn how llms.txt closes that gap and why early implementation is a competitive advantage that's closing fast.
When customers ask AI assistants for product recommendations, the same handful of brands appear again and again—not by accident, but by design. Here's what's driving the most concentrated marketplace in e-commerce history, and the strategic playbook for emerging brands to compete before the window closes.
Most e-commerce brands are optimizing for a search paradigm that's already obsolete. Here's what multimodal AI search actually rewards—and how to build the content foundation that wins AI-driven discovery.
AI recommendation engines are projected to influence $1.2 trillion in e-commerce revenue by 2026. Here's what e-commerce marketers need to understand about AI search user intent—and how to structure content that earns recommendations at every stage of the customer journey.
In 2025, generative AI has become the dominant product discovery engine for consumers aged 18–45—yet just 2% of brands capture approximately 80% of all unprompted AI recommendations. This post breaks down why the citation economy works the way it does, which authority signals drive it, and what CMOs must do in the next 18 months before competitive positions lock in permanently.
In 2024, AI tools reshaped how consumers discover and buy products online—but the hidden engine powering those recommendations is one most brands are still overlooking: customer reviews. This guide decodes exactly how AI systems analyze, rank, and act on review data, and what e-commerce brands must do to win visibility in AI-mediated commerce.
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.
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.