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.

brandsbrand

Decoded: The Hidden Algorithm Behind AI Shopping Recommendations (What 100,000 Citations Reveal About Brand Discovery in 2026)

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.

Jul 14, 2026

productbrands

Understanding AI Search Ranking Factors: What Actually Drives E-Commerce Brand Recommendations in 2026

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.

Jul 14, 2026

brandsbrand

The AI Search Training Data Crisis: Why Your E-Commerce Brand Is Missing from ChatGPT

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.

Jul 14, 2026

brandscitation

Analyzed 100,000 AI Citations: The Hidden Patterns That Determine Which E-Commerce Brands Win in Generative Search

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.

Jul 13, 2026

brandhttps

What Makes a Brand 'Discoverable' in AI Search: The Hidden Factors Beyond Keywords

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.

Jul 13, 2026

trainingbrands

The AI Search Training Data Problem: How Most E-Commerce Brands Get Excluded from Generative Engines

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.

Jul 13, 2026

brandbrands

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

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.

Jul 12, 2026

productcontent

How AI Search Engines Work: A Technical Overview for E-Commerce Marketers

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.

Jul 12, 2026

brandsbrand

How Generative AI Search Engines Actually Decide Which Brands to Recommend

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.

Jul 12, 2026

brandscitation

How We Analyzed 50,000 AI Product Recommendations to Decode What Actually Makes Brands Discoverable

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.

Jul 11, 2026

brandtraining

AI Training Data Gaps: Why 80% of E-Commerce Brands Are Missing from ChatGPT (And How to Fix It)

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.

Jul 11, 2026

recommendationbrand

How AI Search Engines Decide Which Products to Recommend: The 2026 Algorithm Breakdown

When a customer asks an AI assistant which product to buy, your brand either appears in the answer—or it doesn't. This guide reverse-engineers the multi-factor recommendation algorithm that determines which products win in AI search, and what marketing teams need to do right now to be among them.

Jul 11, 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 7