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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현장 노트
사람이 보던 카탈로그에서 기계가 읽는 제품 데이터로 넘어가는 변화를 다룬 리서치와 기술 가이드, 시장 분석. 부품을 만들고 판매하는 분들을 위해 씁니다.
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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글로 읽는 것과 직접 보는 것은 다릅니다. 무료 그레이더를 돌려 지금 AI가 귀사 제품에서 무엇을 읽어내고 무엇을 읽지 못하는지 정확히 확인해 보세요. AI 크롤러 정책, 카탈로그 커버리지, 데이터시트 접근성을 점수와 벤치마크로 보여드립니다.
카탈로그 진단