AI Agents for CPG.

Whichever AI system a buyer uses — plus any buyer-side agent built on the open machine standards these systems use. Your records answer them out of the box, and none of it runs on your network.

Buyers changed the question. It used to be “can a buyer find me?” — now it is “can AI find, understand and engage with my products?” Four words carry the answer: discoverable · understandable · actionable · human-controlled — a person reviews and signs every order.

Not when the buyer already knows who to call — before that, in the discovery work: finding new brands, comparing products, checking data, confirming fit, requesting information. AI expands what a buyer can see; people still make the commercial call on range, price and terms. Your opportunity is to be found and understood during that work, including in markets where the buyer does not know you yet.

24.5M+ AI Agent transactions a month · 18 countries · a human on every order. Your products join traffic that already exists — orders that start with an AI, not a search box.

The numbers, live on GSC Radar →

1. Organize your catalog. SKUs, GTINs, specs, case packs and market data become clean product records.
2. Make it AI-ready. Records become structured and machine-readable, so AI systems identify and work with your products reliably.
3. Place it where you want to grow. Product presence aligned to target markets — domestic, regional or global.
4. Route opportunities to people. AI surfaces and initiates opportunities; humans review, approve and execute the commercial decisions.

• Already built. The agents exist before you arrive.
• Loaded. Your full catalog at onboarding — one agent for each product.
• Tuned. Records adjusted to how buyers in your category actually ask.
• Live. Into existing traffic, typically in under 30 days — nothing to install, no AI on your network.

The same prepared product record serves every place a buyer looks: the store shelf · online marketplaces · the retailer's AI assistant — the system buyers now ask first. Prepare the product once; be present on all three from day one.

The AI Brands program →

Yes — the strategy matches the business objective.

• An Italian beauty brand wants U.S. growth: deploy product presence toward U.S. buyer-side discovery.
• A Korean skincare brand wants UK and U.S. expansion: split the portfolio by target market.
• A Brazilian brand wants regional and EU testing: start focused, then reallocate as priorities change.

In 18 regions across the Americas, the EU and UK, the Middle East and Asia-Pacific — agents resident in-region, so a buyer's system is answered from near it, not from one central location. Less distance on every machine-to-machine request, and control by market as your priorities change. Near the buyer, not near your head office.

Brands don't die overnight. They stop being selectable.

1. You disappear from agent shopping — a PDF is not a feed, so agents skip you.
2. Retailers quietly punish you — late listings, missing shades, wrong claims.
3. AI overviews cite someone else — the recommendation lives on the competitor's page.
4. Internal ops rot — finance, planning and regulatory can't match the file to what's sold.
5. You become a wholesale-only relationship brand — a shrinking channel mix.

Pick a portfolio — hero items, innovation, or products ready for export. Pick the markets where growth matters most — U.S., UK, Europe, LATAM, Asia-Pacific or your domestic market. Measure what happens — AI discovery, inquiries, RFQs, qualified opportunities, new accounts and incremental volume.