Agentic Commerce in Industrial Supply: 2026 Reality
What actually works in agentic commerce today versus the hype — and why the Instant Checkout retreat proved accuracy, not autonomy, is the bottleneck.
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Notas de campo
Pesquisas, guias técnicos e análises de mercado sobre a transição dos catálogos feitos para pessoas para os dados de produto legíveis por máquina. Escrito para quem fabrica e vende componentes.
What actually works in agentic commerce today versus the hype — and why the Instant Checkout retreat proved accuracy, not autonomy, is the bottleneck.
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GPTBot, ClaudeBot and PerplexityBot read raw HTML and never execute scripts. How to test whether your catalog is visible, and fix it without a rewrite.
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What the EU Digital Product Passport actually mandates, the confirmed dates, how ETIM, ECLASS, AAS and GS1 fit, and why the same asset serves AI agents.
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Engineers and buyers now ask an assistant before they touch a supplier site. What that does to spec-in, design registration and distributor demand creation.
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AI-assisted part selection is now near-universal, but engineers still verify against datasheets. What manufacturers must publish to be trusted in that loop.
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What the Model Context Protocol is, what a parts MCP server should expose, how OAuth gates price and stock, and which assistants can actually reach it.
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Every AI user-agent that matters in 2026, who runs it, which honour robots.txt, copy-pasteable configs, WAF allowlisting and how to verify it from your logs.
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The web is splitting into a human surface and a machine surface. Crawl-vs-refer economics, Cloudflare's toll gates, signed agents, and what to do about it.
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An agent-ready catalog serves four machine surfaces. Here is what each one is, which AI assistants actually consume it, and how to tell your level.
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Bot walls, image-only scans, viewer-only documents and separate doc hosts make datasheets invisible to AI. Test yours in three commands, then fix them.
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