What does Hexagon do?

Hexagon connects your catalog once, then makes products discoverable and purchasable across AI channels.

Which AI channels can we launch in?

Hexagon supports the AI channels merchants care about now, including ChatGPT, Gemini, Perplexity, Microsoft Copilot, and WhatsApp AI, with more added as new channels open.

Do we need a separate build for each channel?

No. Hexagon uses one integration to adapt your catalog and purchase flow for each AI channel.

How long does it take to get live?

That depends on your catalog, systems, and rollout scope, but Hexagon is built to get merchants live without turning channel expansion into a long rebuild.

Does checkout always happen inside the AI channel?

That depends on the channel. Hexagon keeps the path from discovery to purchase as direct as each platform allows.

How does pricing work?

Pricing depends on plan and rollout scope. Hexagon uses a subscription model, and transaction fees apply when Hexagon facilitates the purchase.

Hexagon Blog

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

authoritybrands

Decoded: How AI Search Engines Actually Evaluate E-Commerce Brand Authority—The E-E-A-T Framework for Generative Commerce

AI search engines don't rank brands the way Google does—they encode authority statically during training, creating a winner-take-most dynamic where 85% of product recommendations come from just 20 domains per category. This guide decodes the four pillars of E-E-A-T for generative commerce and shows e-commerce brands exactly how to build AI citation authority before the 2024-2025 window closes.

Sep 25, 2026

contenttraditional

From Keywords to Conversational Intent: Why Traditional SEO Ranking Factors Don't Work in Generative Search

What if everything your SEO team has optimized for over the past decade is now the wrong target? As generative AI reshapes how users find information, the gap between traditional search optimization and AI visibility is widening fast—and most brands haven't noticed yet.

Sep 23, 2026

contentregional

Global Generative Engine Optimization (GEO): Navigating AI Search Differences Across International Markets

By the end of 2025, over half of all global searches will involve AI-generated answers—yet most brands are optimizing for only one corner of a fragmented global AI search landscape. This guide reveals the regional ecosystems, regulatory realities, and technical strategies brands need to win in international GEO before competitors do.

Sep 20, 2026

brandschatgpt

Decoding the AI Search Algorithm Hierarchy: How ChatGPT, Perplexity, and Claude Actually Rank E-Commerce Brands in 2026

In 2026, AI assistants have become the dominant first touchpoint for product research—but ChatGPT, Perplexity, and Claude use fundamentally different ranking systems. Here's what e-commerce brands must understand to stop optimizing blindly and start winning platform-specific AI search visibility.

Sep 18, 2026

brandstraining

The AI Training Data Gap: Why 85% of E-Commerce Brands Are Missing from ChatGPT's Knowledge Base (And How to Fix It)

Eighty-five percent of e-commerce brands are structurally invisible to ChatGPT, Claude, and Perplexity—not because their products are inferior, but because they've never built the digital authority signals that AI training pipelines require. This guide explains the structural mechanics behind AI invisibility and provides a three-layer framework to close the gap before the next training cutoff.

Sep 17, 2026

brandstraining

The AI Training Data Gap: How 82% of E-Commerce Brands Got Excluded from ChatGPT's Knowledge Base (And the Fix)

An estimated 82% of direct-to-consumer e-commerce brands are effectively invisible to AI assistants—not because their products aren't good enough, but because of how AI models are trained. This guide explains the structural cause, the platforms affected, and the concrete steps to rebuild your brand's AI visibility before the window closes.

Sep 16, 2026

brandscitation

How We Analyzed 50,000 AI Product Citations to Discover the Hidden Patterns Behind Brand Authority in Generative Search

Fifty-eight percent of consumers under 45 now use AI assistants to discover products before buying—yet only 14% of brands have a documented strategy to get cited by these engines. Hexagon analyzed 50,000 real AI product citations to understand why. What we found challenges everything marketers thought they knew about search visibility.

Sep 15, 2026

citationbrands

The AI Citation Economy: How the Top 3% of E-Commerce Brands Capture 71% of Generative Recommendations (And How to Join Them)

The AI citation economy has a Gini coefficient of 0.82—more unequal than any nation on Earth. With $1.2 trillion in AI-influenced e-commerce revenue on the line by 2027, here's what separates the brands that get recommended from the brands that get ignored.

Sep 14, 2026

brandsbrand

Hexagon Analyzed 10,000 AI Product Recommendations to Reveal What Actually Makes E-Commerce Brands Discoverable in Generative Search

Hexagon's proprietary analysis of 10,000 AI-generated product recommendations across four major e-commerce verticals reveals a startling truth: traditional SEO success and AI discoverability operate on entirely different signals—and brands optimizing for only one are leaving trillions in revenue on the table.

Sep 13, 2026

contentsearch

Beyond SEO: The Four Pillars of Generative Engine Optimization That Traditional Search Experts Get Wrong

A Princeton-led study found that 68% of AI-cited sources don't appear in Google's top 10 results. Here's what that means for your search strategy—and how the 9% of enterprise teams with a documented GEO framework are quietly building a durable competitive advantage.

Sep 12, 2026

googlebrands

Beyond SEO: How AI Search Fundamentally Differs from Google—And Why Your Current E-Commerce Strategy Won't Work

AI search isn't a better version of Google—it's a completely different system with different rules, different winners, and different consequences for e-commerce brands that fail to adapt. Here's what the shift actually means, and what to do about it.

Sep 11, 2026

brandsbrand

How We Analyzed 50,000 AI Shopping Recommendations to Reveal What Actually Gets Brands Discovered in 2026

Hexagon's proprietary analysis of 50,000 AI-generated product recommendations across ChatGPT, Perplexity, and Claude reveals the three discovery pillars that explain 73% of all brand citations—and why most brands are optimizing for the wrong channel entirely.

Sep 10, 2026

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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.

Hexagon Blog | AI Marketing & GEO Optimization Insights