Verifiable, not hallucinated
Every claim traces back to a real consumer-voice source – the forums, reviews and Q&A where people actually say what matters. No source, no claim. A model can guess. We can show our work.
The Third Era of Commerce Discovery Is Here
Customers aren't browsing anymore. They're asking AI what to buy.
But today's commerce data was never built for that world. AI always gives a reason why this product is the right one. Whether that reason came from your data or from thin air is up to you.
AI Hits a Wall
AI is only as good as the context it gets. Most shoppers have none to give.
If you know running shoes, you'll prompt well. You'll name your weekly mileage, the pavement, your last pair, and the fact that you land on your heel. You'll get a solid recommendation from almost any catalog.
Most people aren't you. They can't supply the context. They came to find out what the context is.
So the model supplies it instead. From your product data, or from whatever else it can reach.
The agent recommends something either way. Your data decides whether it's yours.
What Changed?
The third era of commerce discovery is here
- AI-sourced e-commerce traffic
- 4,700 %
- YoY growth / Adobe/ McKinsey / July 2025
- Weekly shopping queries on ChatGPT
- 84 M
- US only / OpenAI / 2026
- Of european consumers use gen ai to research and decide on purchases
- 38 %
- Europe / McKinsey / 2025
The Moat
Nobody built the reasoning layer between products and people. We did.
LLMs know what products are. We built what they're missing – the decision-grade layer that knows which product is right for which person, and can prove it.
Our Asset
Consumer reasoning infrastructure
It's not a quiz, and it's not a prompt. It's a structured, queryable layer of how real people actually decide what to buy – buyer profiles, goals, trade-offs, and the constraints that rule a product in or out.
Research is how we build it. The infrastructure is what stays. It's what turns "here are the specs" into "this is the one for you." And it's ours.
Three Pillars
Built on consumer ground truth
It always starts with your customer
Every path to agentic commerce has to start here, because nothing else actually works without it. Channels change every month, the consumer mind doesn't. Build on the customer and everything downstream – PDPs, guides, agents – holds. Build on anything else and it breaks the moment the surface changes.
A compounding asset – not a feature
It can't be scraped, prompted, or spun up in a weekend. It's sourced consumer ground truth, and it only gets broader and deeper as we go. Retailers, brands, and the AI models themselves are all moving toward needing exactly this. There's no shortcut to building it.
What We Deliver
One consumer reasoning infrastructure. Applied wherever commerce happens.
Three products. One asset underneath. Each puts your customer's decision logic to work in a different place. Just pick the surface where they decide.
01 / Consumer Intelligence
Consumer research
The consumer decision logic behind a category – as a deliverable.
The reasoning layer itself, delivered straight to your teams: buyer segments, decision drivers, goals, and the constraints that rule products in or out, sourced from real consumer voice at category scale. The same ground truth that powers our PDPs and Guides, usable on its own to shape assortment, filters, category trees and messaging.
- 30× faster, 5× cheaper – same answers as traditional consumer research (benchmarked head-to-head)
- Sourced consumer ground truth, not LLM guesswork – comparable quality at a fraction of the cost and time
- Already bought as a standalone product by enterprise teams (e.g. Allwyn)
02 / Product Content
PDP content system
Enriched, verified product data for every SKU.
Your catalogue lists specs, it never says what those specs mean for the person buying. We deliver decision-grade content for every product from your catalogue and our reasoning layer: what it's for, who it fits, how it compares. Human-readable for shoppers, machine-readable for AI agents – so you get recommended, not just listed.
- ~1-month payback on the largest deployment (6-month study, 3,600+ control categories, GSC + Ahrefs + Looker)
- Verified per SKU and traceable to source – no source, no claim
- A machine-readable payload agents can reason with: you show up in AI answers, not just on your own site
03 / Guided Selling
Product guides
Guided selling that actually understands your customer.
A shopper who doesn't know the category can't self-serve a 200-SKU grid. So they leave, or buy the wrong thing and return it. Product Guides ask the few questions that actually matter, drawn from how real buyers decide, and narrow the catalogue to what genuinely fits. On your site, in your customer's language, from first click to purchase.
- 2×+ conversion in deliberation categories (white goods, electronics, bikes) on the largest client
- Powered by the reasoning layer, not a generic quiz – questions come from real buyer decisions
- Right product first time: fewer returns; incremental revenue measured against unguided shoppers (holdout)
