Get Discoverd by AI Answer Engines

Be the product an AI recommends, not the one it skips.

Your customers are starting their search inside ChatGPT, Claude, Perplexity and Google AI Overviews. If those engines can't read and recommend your products, you lose the sale before it ever reaches you.

Book a Demo
get discovered-1

API-first

MCP-native

LLM-neutral

MACH certified

EU AI Act-ready

The shift

AI agents are the new brand discovery layer.

The brands they cite are the ones structured for them to find. Most are not. For years, being found meant ranking in search and showing up on the channels you control. That's changing — fast.

AI referral traffic is already up 393% year on year. The shift isn't ahead of you — it's underway.

How discovery used to work

Customers searched.

They landed on your site, your listing, your category page. You could see them arrive, measure them, and optimise for them.

→

How discovery works now

Customers ask an AI.

It reads product data, picks what to recommend, and answers. The customer acts on it — and never visits, never shows up in your analytics.

 

If you're in the answer, you win a sale you didn't chase. If you're not, you lose one you'll never see.

Why engines skip products

Agents can't recommend what they can't read.

An engine recommends what it can confidently understand: complete, consistent, structured, machine-readable data. When yours is thin or inconsistent, it does the rational thing — skips your product for one it can trust.

Being discoverable isn't a marketing problem anymore. It's a product-data problem.

What it actually takes to get discovered:

Complete & consistent

No gaps, no contradictions across sources. The same product reads the same way everywhere.

Machine-readable by design

Structured attributes — not copy buried in formats built for human eyes.

GEO / AEO-native

The data model the answer engines reward when they choose what to recommend.

What it means for the business

A discovery channel that compounds.

Win share of voice in AI surfaces

Show up in the answers where customers now decide. Citation visibility across ChatGPT, Claude, Perplexity and Google AI Overviews — the share of voice you currently can't see in your dashboard.

Protect the brand at machine speed

The AI describes your product from your data — not a competitor's spec or a stale third-party listing. Brand voice preserved across every agent surface.

As performance marketing erodes, the gap widens

Discovery is shifting from paid funnels to AI-mediated answers. The products structured for discovery pull ahead — and the distance grows for everyone still optimising only for the old channels.

GEO and AEO, in plain terms

Generative Engine Optimisation (GEO)

Making your products readable and recommendable by generative AI — ChatGPT, Claude, Gemini.

Answer Engine Optimisation (AEO)

The same discipline, for answer engines like Perplexity.

Both come down to one thing: structured, trustworthy, machine-readable product data. The platform that operates on that kind of data is the platform that produces it.

intersport-b
dolby-b
onlogic-bw-1
middys-grey-2-1
coop-b
omega-logo-grey-1
telenor-1
saint-gobain-b
intersport-b
dolby-b
the agentic PIM

700+

Task-level endpoints. Surgical, granular, idempotent.
UI / API parity

100%

Every UI operation has a machine-callable equivalent.
Agent protocol

MCP Native

Claude, ChatGPT, Cursor and custom agents.
Certification

First MACH PIM

Composable, headless, cloud-native, API-first.

Structured product model

Machine-readable surfaces

Schema validation

Channel-specific transforms

Book a demo

See whether AI engines can find your products today

A short conversation about the systems on either side of your PIM and the fastest path to getting them in sync.