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.

brandscontent

Why 73% of E-Commerce Brands Remain Invisible to AI Search Engines: A Data-Driven Analysis

A structural visibility crisis is quietly reshaping e-commerce. With $1.2 trillion in revenue set to flow through AI assistant recommendations by 2027, the brands that fail to appear in ChatGPT, Perplexity, and Claude responses aren't losing clicks—they're being excluded from an entirely new discovery channel. This analysis reveals why most brands are invisible to AI search, what signals actually drive AI citations, and the specific strategies that move brands from invisible to indispensable.

May 25, 2026

searchbrands

The Economics of AI Search for E-Commerce: How Generative Recommendations Are Reshaping Revenue Models

AI search is rewriting the rules of e-commerce discovery—and the brands that understand the new economics first will capture a disproportionate share of $194 billion in AI-influenced transactions by 2026. Here's the financial case for acting now.

May 25, 2026

brandsbrand

Why Most E-Commerce Brands Remain Invisible to AI Search Engines: The Hidden Barriers Explained

Less than 7% of mid-market e-commerce brands appear in AI assistant recommendations — even when they rank on page one of Google. Here's why AI invisibility is a structural problem, not an SEO problem, and what the hidden barriers actually are.

May 25, 2026

searchgoogle

AI Search vs Traditional SEO: Understanding the Fundamental Differences

Your Google rankings are working—but they're invisible to 58% of consumers who now use AI assistants to discover products. Here's what's really happening, why it matters, and how to close the gap before your competitors do.

May 24, 2026

brandsbrand

Why 78% of E-Commerce Brands Are Invisible to AI Search Engines: The Data-Driven Truth

Traditional SEO success is masking a dangerous blind spot. Here's what the data reveals about AI search visibility—and why the brands acting now will be nearly impossible to displace.

May 23, 2026

brandmodels

The AI Training Data Problem: Why Your Brand Might Be Invisible to ChatGPT and Perplexity

In 2024, more than half of all consumers turned to AI assistants before making a purchase decision. If your brand isn't in the training data, it doesn't exist in their results—no matter how well you rank on Google. Here's what's really happening, and what brands can do about it.

May 23, 2026

searchgoogle

What Makes AI Search Different from Traditional Google Search: A Complete Breakdown

Only 9% of brands recommended by ChatGPT overlap with top Google Shopping results. If your SEO strategy stops at Google, you're already invisible to the fastest-growing search channel in e-commerce. Here's what's changed—and what to do about it.

May 23, 2026

brandsbrand

The AI Search Visibility Crisis: Why 73% of E-Commerce Brands Remain Invisible to ChatGPT and Perplexity

Hexagon's analysis of 50,000+ AI shopping queries reveals a compounding revenue crisis hiding in plain sight—and most brands don't even know it's happening to them.

May 22, 2026

brandtrust

How AI Search Engines Prioritize Trust and Authority Signals (E-E-A-T for AI)

What does it take for a brand to earn a recommendation from an AI engine—and why are the rules fundamentally different from traditional SEO? The answer lies in a trust architecture that AI systems have quietly inherited, refined, and made more demanding than anything marketers have faced before.

May 22, 2026

searchengines

What Are AI Search Engines and How Do They Differ from Traditional Google Search?

AI search is no longer a niche experiment. With 13% of U.S. adults now using AI chatbots as their primary search tool—and that number climbing fast—e-commerce brands that ignore AI search optimization are already losing customers to competitors who don't.

May 22, 2026

healthproduct

The Role of AI-Powered Personalization in Driving Health & Wellness Product Recommendations

Seventy-one percent of consumers expect personalized brand interactions—yet most health and wellness companies are still delivering generic experiences. Discover how AI-powered personalization is reshaping product discovery, driving 35% higher conversion rates, and positioning forward-thinking wellness brands for dominance in a $188 billion market.

May 22, 2026

brandssearch

The AI Search Revolution: Why E-Commerce Brands Must Adapt Now (Not Later)

AI-powered search is already reshaping how 180 million+ weekly users discover and buy products. Here's why e-commerce brands that don't adapt their strategy in 2024-2025 risk becoming invisible to their highest-intent customers—and what to do about it.

May 21, 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 - Page 2