42%
better conversion from AI-referred shoppers vs. non-AI traffic
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Win where agents decide. AI is changing how people discover, compare, and buy. Pattern helps brands win across every AI channel.
Pattern's fulfillment network was built for speed.
37%
higher revenue per visit from AI-referred sessions
35%
of product pages are invisible to LLMs
AI is already shaping how people buy. Two forces are driving it.
01
Search based shopping
Consumer starts on marketplace → buys on marketplace
02
Agentic discovery
Consumer asks an LLM → LLM recommends → buys on marketplace or DTC
03
Agentic shopping
Consumer asks an LLM → LLM selects, negotiates, and completes the purchase
Pattern is built for what's next.
The work you do on discovery today is the foundation for agentic shopping tomorrow. You're not choosing between them. You're building toward both.
"On Amazon, you can rank page 1 across 30+ listings. On an LLM, you have 2–3 shots. You MUST win the prompt."
Dave Wright, CEO, Pattern
How Pattern approaches agentic commerce.
Pattern is building across three layers of agentic commerce. Here's where we're focused and why it matters for your brand.
Now
Pattern for Marketplaces
Agents inside Amazon, Walmart, and other major platforms are already evaluating your brand. We optimize how you compete in AI-powered marketplace search right now.
Accelerating
Pattern presence
We help your brand show up on ChatGPT, Gemini, Microsoft Copilot, and Meta AI across Facebook, Instagram, and WhatsApp.
On the horizon
Pattern A2A
Agent-to-agent transactions are still early, but we're building the infrastructure now so your brand is ready when volume arrives.
Every interaction teaches the Buying Agent whether to come back — or shop elsewhere.
Discover accuracy
AI agents rank what they can read. Your product content score determines whether you show up or get skipped before the search even starts.
Fulfillment reliability
Agents factor in what you promise, not just what you ship. Your delivery promise score tells them whether you're a safe recommendation.
Post-purchase performance
Returns and claims leave a record. Your return and claims score reflects how often your product matches what the agent sold.
Service resolution
Recovery matters as much as the original experience. Your CX recovery score signals whether problems get solved or escalated entirely.
SEO got you here. GEO gets you there.
AI is rewriting the rules of discovery, decision, and purchase. The brands agents recommend will win. The ones they can't read will disappear.
Why Pattern.
Data is the difference. Pattern is the largest marketplace accelerator in the world. That scale gives us data no single brand can access alone: pricing signals, inventory feeds, and recommendation patterns across hundreds of brands and 70+ marketplaces. While you have one person on this part-time, we have whole teams running experiments every day.
#1
Marketplace seller globally
70+
Global marketplaces
$2B+
Global revenue 2025
91T+
data points in
Pattern
Intelligence
We grow brands 2x faster
Frequently asked questions
Pattern's approach to winning in AI-driven shopping. It covers the four factors agents use to evaluate your brand: Traffic (discovery and GEO), Conversion (retailer presence), Price (channel parity), and Availability (real-time inventory).
Agentic discovery is when an agent recommends and sends the buyer to a retailer. Agentic shopping is when an agent buys autonomously — not mainstream yet, but coming fast. Discovery is happening now. The credibility you build there is the same foundation agents will use for transactions tomorrow.
SEO targets search crawlers — keywords, backlinks, meta tags. GEO targets AI recommendation engines — structured data, entity authority, and machine-readable content. The metrics differ too: AI visibility score and recommendation rate, not rankings and CTR. GEO doesn't replace SEO. It's the layer on top.
Agents compare prices across every retailer at once. Brands with unauthorized sellers or MAP violations see recommendation rates drop by up to 23%. Clean pricing isn't just compliance — it's discoverability.
Probably not. When someone asks ChatGPT about your brand, it looks for an llms.txt file on your site first — a simple file that tells AI what to use. No file? It pulls from whatever it can find. Your GEO Scorecard shows whether you have one and where the gaps are.
No. It's free and self-serve. Takes two minutes and shows you how AI engines see your brand today. No commitment required.
Two things: Check whether your brand has an llms.txt file — two minutes to know if you control what LLMs say about you. Then get your GEO Scorecard. It shows AI visibility across 7 LLM platforms, where competitors outrank you, and which content gaps are costing you recommendations. Free, no commitment.