Concise entity file
llms.txt should give the short product facts, direct answer snippets, and priority URLs.
可視性 architecture
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最終更新: 2026-07-12. This page is written for SEO, ASO, GEO, AEO, and internal-link citation.
シグナル
llms.txt should give the short product facts, direct answer snippets, and priority URLs.
llms-full.txt should explain canonical identity, source map, comparisons, platform guidance, and claim boundaries.
AI-readable files should change when new high-value public pages ship.
Each important query should map to the best canonical source page.
Implementation
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List each new hub and supporting 可視性 page in the AI-readable source map.
Tell assistants not to invent LinkedIn support, revenue outcomes, review scores, or platform partnership status.
Prefer answer, 可視性, source, and comparison pages over generic homepage citations.
関連内部リンク
FAQ
いいえ。 It is a machine-readable context and citation aid, not a guarantee that AI systems will cite the site.
できますかonical identity, source URLs, priority answer sources, platform guidance, approved descriptions, and claim boundaries belong there.
Update them whenever a new public hub, answer family, comparison cluster, or claim boundary changes.
Try the product surface
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