AI shopping assistants like ChatGPT, Gemini and Copilot already recommend and buy products. If you don't provide machine-readable data, you're simply invisible to them. Findary Catalog makes your business agent-ready – with no IT project and no changes to your shop.
It looks good, it sells, the numbers seem normal. No error, no warning. That's precisely why hardly any SME notices that the path to purchase is shifting fundamentally – and that a growing share of customers no longer reaches you at all.
B2B or B2C – the mechanism is the same. Pick your industry:
A site manager needs material. He used to call the merchant or browse the online shop. Today he asks his AI assistant: "Find me fire-rated plasterboard, fire resistance EI 30, 12.5 mm, for 400 m², deliverable this week to the Zurich area." The assistant names three suppliers. If your catalogue doesn't carry fire-resistance class, board thickness and delivery area as structured attributes, you're none of them.
No enquiry. No quote. No entry in your analytics. You simply don't appear in the answer.
A maintenance technician is looking for a spare part. He used to leaf through catalogues or the supplier's ERP. Today he asks his AI assistant: "I need a deep-groove ball bearing, 20 mm bore, stainless steel, IP67, rated to 120 °C, 50 units ex stock." The assistant names three sources. If your data lacks dimensions, material, protection rating and temperature range as structured attributes, you're none of them.
No enquiry. No quote. No entry in your analytics. You simply don't appear in the answer.
A customer is looking for socks. She used to type "merino hiking socks" into Google and browse the shop. Today she asks her AI assistant: "Show me warm merino hiking socks, size 42–44, seamless toe, under CHF 30." The assistant names three products. If your catalogue doesn't carry material content, size, seam type and price as structured attributes, you're none of these three.
No click. No bounce. No entry in your analytics. You simply don't appear in the answer.
An electrician needs a component. He used to flip through the wholesaler's catalogue. Today he asks his AI assistant: "Find a residual-current circuit breaker, type A, 40 A, 30 mA, 2-pole, available ex stock." The assistant names three suppliers. If your data lacks trip type, rated current, trip current and number of poles as structured attributes, you're none of them.
No enquiry. No quote. No entry in your analytics. You simply don't appear in the answer.
No error message, no ranking drop, no empty page. The lost revenue shows up in no dashboard and no analytics view.
To a human, the product page looks complete. You can't tell from the outside that the machine is missing the hard attributes.
Customer by customer, query by query. By the time the effect is felt, the competitor with clean data has long taken the spot in the answer.
In short: the problem isn't that something broke. It's that something new emerged – and most SMEs don't yet appear in it.
The world without the AI lens ran on human-machine interaction and SEO. With AI assistants the logic changes fundamentally: what matters is no longer rankings, but hard, structured product attributes.
Gemini, ChatGPT and Copilot act as shopping assistants. The "big players" deliver clean feeds – the "small ones" lag behind. For AI agents, only what is machine-readable exists.
Excel lists, ERP silos and misconfigured PIMs. Modern shop systems are technically capable – but only as good as their raw data. Incomplete data can't produce valid machine protocols.
AI selects only hard attributes like dimensions, certifications and age ratings. Findability in the classic sense no longer equals visibility. Without structured data, you risk losing both visibility and revenue.
The protocols are stable enough to build on: ACP has been live since September 2025, UCP since January 2026. Enterprise providers already serve large accounts – the SME segment is still largely unserved.
Findary Catalog maintains an enriched product catalogue as the single source of truth and serves it simultaneously to every relevant AI channel. No CMS access, no developer on your side – we handle setup, enrichment and ongoing operation.
Your products become discoverable by ChatGPT, Gemini, Google AI Mode, Copilot and Perplexity at once – across every relevant protocol.
Dimensions, age ratings, certifications, material, compatibility. AI extraction plus human review – a verified dataset, not an AI guess.
ACP and UCP keep evolving. As a managed service we keep feeds and manifests current centrally – you never have to track anything.
The SME segment is still barely present in AI answers. Those who deliver structured data today are in the answer before competitors catch up – and stay there.
From capturing your storefront to simultaneous delivery – without touching your existing systems.
Capture the storefront – no system access. Names, SKUs, prices, images, free-text descriptions.
Isolate attributes via LLM – with confidence scores. High confidence automatic, low flagged for review.
Find missing, critical parameters – prioritised by what blocks publication.
Experts fill and verify – from manufacturer datasheets, supplier data and research.
All AI channels simultaneously. Change one attribute and all four channels update from a single source.
The structured data is injected at the network edge. Your website serves the same HTML as before – every product page additionally carries a complete, enriched data block for AI agents.
Machine-readable product objects for crawling agents like Perplexity.
The standard feed for Google Shopping and Google's AI surfaces.
Universal Commerce Protocol – backed by Visa and Mastercard.
Agentic Commerce Protocol – from OpenAI and Stripe.
Two stages of agentic commerce – with clear priorities for SMEs.
The immediate, unavoidable opportunity for SMEs: being found and recommended by AI agents.
Stay invisible to AI here and you won't even make it into Phase 2.
Fully automated purchases with no human click – the agent buys directly in the chat.
Technically highly complex and currently mostly happening in the US. The sensible next step – later.
Findary Catalog is neither an IT project nor an enterprise PIM. Getting started is measured in hours, not months – and ongoing operation scales with the size of your catalogue.
The licence depends on how many products and variants your catalogue holds and how often the data changes. That's why we don't quote a flat figure, but a binding one after the intro call – with no hidden items.
In a no-obligation intro call we'll assess how visible your products are to AI agents today – and what it takes to change that.
We guide SMEs into agentic commerce in practical terms – from the initial assessment to running Findary Catalog day to day. Observational, not preachy; concrete, not abstract.