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.

brandscitation

The AI Search Citation Economy: How We Analyzed 100,000 Recommendations to Reveal What Actually Drives Brand Authority

In late 2024, Hexagon analyzed over 100,000 AI-generated product recommendations across ChatGPT, Perplexity, and Claude. The finding was stark: only 3–5% of e-commerce brands received consistent citations—yet 58% of consumers now use generative AI to research products before buying. This guide reveals the citation patterns, why they matter, and the specific moves that separate the cited few from the invisible majority.

Jul 17, 2026

contentintent

Understanding AI Search Intent: What Generative Engines Are Actually Looking For When Recommending Products

AI-assisted product discovery has overtaken traditional search as the fastest-growing e-commerce channel—but most brands are still optimizing for the wrong engine. Here's what generative AI actually looks for when deciding which products to recommend, and how to build a content strategy that wins at every stage of the AI search journey.

Jul 17, 2026

productcrawler

How AI Crawlers Actually Read Your E-Commerce Website: A Technical Guide for Marketers

AI crawlers from OpenAI, Perplexity, and Anthropic are visiting your e-commerce site daily—but over 60% of your product data is completely invisible to them. Here's the technical guide marketers need to turn product pages into AI-visible assets that drive brand mentions in ChatGPT, Perplexity, and Gemini responses.

Jul 17, 2026

brandscontent

Analyzed 100,000 AI Citations to Reveal What Actually Drives Brand Authority in Generative Search

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.

Jul 16, 2026

searchkeyword

From Keywords to Conversations: Why Keyword Density and Backlinks Don't Work for Generative Engines

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?

Jul 16, 2026

signalssystems

The E-E-A-T Framework for AI Search: Building Experience, Expertise, Authority, and Trust

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.

Jul 16, 2026

brandsproduct

Analyzed 50,000 AI Shopping Queries: What Actually Drives Product Recommendations in 2026

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.

Jul 15, 2026

productrecommendation

How Generative Engines Interpret Product Intent: What Makes a Product Recommendation-Worthy

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.

Jul 15, 2026

brandproduct

Why AI Hallucinations Happen in E-Commerce: Understanding False Product Recommendations and Brand Protection

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.

Jul 15, 2026

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

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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