.avif)
Win where agents decide.
The equation hasn't changed. The way to solve it has. AI is changing how people discover, compare, and buy. Pattern helps brands win across every AI channel.
42%
better conversion from AI-referred shoppers vs. non-AI traffic
3.5 years
to 1 billion users
Faster than the internet, cell phones, or ecommerce.
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.
Search based shopping
Consumer starts on marketplace → buys on marketplace
Your brand is visible. The rules are familiar.
Agentic discovery
Consumer asks an LLM → LLM recommends → buys on marketplace or DTC
22% of purchases are already influenced by an LLM before checkout. Either you show up in the answer or you don't.
Agentic shopping
Consumer asks an LLM → LLM selects, negotiates, and completes the purchase
No storefront. No cart. No second chance. OpenAI, Google, and Amazon are all building toward this.
"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.
Every interaction teaches the Buying Agent whether to come back — or shop elsewhere.
AI agents don't browse, they evaluate. Data is the differentiator, and these are the four signals they're scoring you on.
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
We grow brands 2x faster
70+
global marketplaces
2B+ global revenue 2025
77T+
data points in Pattern Intelligence
FAQs
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.