For ecommerce brands
AI is the new shelf.
Your brand belongs on it. Described in its own voice, distributed across every model, and tied to the revenue it earns.
The problem
Today, AI describes your brand from leftovers.
When a customer asks ChatGPT about your brand, the answer comes from old press releases, retired campaign images, and third-party reseller blurbs. The tone is wrong. The imagery is last season. The brand has no say in any of it.
Not in the answer, not in the consideration.
ChatGPT
Today
Your brand isn't in the answer
ChatGPT
With Trevise
Accurate product data in every market
What Trevise does
One source of truth.
Every AI surface.
Trevise consolidates fragmented product data into a structured, brand-aware feed built for OpenAI's ChatGPT Product Feed and the multi-model standards emerging across Gemini, Claude, and Perplexity. Brand voice intact. Current imagery. Multilingual. Daily catalog snapshot with 15–60 minute updates for price, stock, and availability — so what AI sees is what your store sees.
Your fragmented data
Enterprise systems
Commerce platforms
Operational data
Trevise
Reconciled
Faithful AI representation
01
Connect
We integrate with your SAP, PIM, DAM, ERP, commerce platform (Shopify Plus, Salesforce Commerce), reviews data, and the spreadsheets your team actually uses.
Your unreleased work stays unreleased.
Only current and past-season products already in market. Future designs, unreleased lookbooks, and regional exclusives stay where you keep them.
02
Reconcile
Catalog data alone is not enough. We layer in what AI agents actually need to recommend a product faithfully: use-case context, comparison anchors, and scope, alongside specifications, materials, brand voice, and current imagery, all as first-class attributes.
Nothing brand-sensitive ships without you.
Every AI-generated claim, comparison, and enrichment is staged for review. Your team approves what goes live, with a full evidence trail back to the source data.
03
Publish
Your structured feed publishes to OpenAI's ChatGPT Product Feed and the standards emerging across Gemini, Claude, and Perplexity. Daily catalog snapshot, with 15–60 minute updates for price, stock, and availability — refreshed in any language, on every model.
04
Measure
Every product link is tagged. AI-referred sessions, SKU-level conversion, revenue per visit, and feed-version impact tie back to the surface that drove them — exported into GA4, Segment, or your warehouse.
The first time the brand sees what AI is actually selling.
Closes the loop between catalog, distribution, and revenue — so you know which feed version, which surface, and which SKUs are converting.
Team
We built this from inside the room.
Three founders, three disciplines: luxury fashion operations, large-scale data infrastructure, and enterprise go-to-market. Between us, we have worked across every major European luxury group — and we know how product data actually moves through a brand, where it breaks, and how to fix it.
Drawn from
01
Inside the maisons
What we kept running into from the inside: product data scattered across SAP, PIM, DAM, and shared drives, with no realistic way to wire any of it into the AI tools the houses were starting to bring in.
02
Data infrastructure
Built ingestion, reconciliation, and AI agent workflows for catalogs at scale. We have made messy enterprise data legible to models before.
03
Go-to-market
Scaled operating businesses and taken new categories from zero to enterprise revenue.
Get in touch
We're working with select brands now.
If you run digital, brand, or e-commerce at a consumer brand, we'd love to talk.
hello@trevise.ai