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Publishing Your Machine-Readable Data

How your AI Agent turns your content into the machine-readable data AI systems parse, prioritize, and cite — JSON-LD, entity.json, llms.txt, and more.

Why machine-readable data matters

AI systems do not read your website the way humans do. They parse, retrieve, and synthesize — and they rely on clear, current, machine-readable data to represent your business accurately.

Your AITWIRE AI Agent turns ordinary website content into canonical, governed, machine-readable data that AI systems, crawlers, and assistants can parse, prioritize, and cite reliably.

What your Agent publishes

  • /.well-known/entity.json — the canonical document describing your business that AI crawlers read.
  • JSON-LD — Organization, Product, Offer, Service, and other Schema.org types injected on your pages.
  • /llms.txt and /.well-known/ai.txt — discovery and policy files for AI crawlers.
  • Syndicated feeds — products, services, articles, locations, and policies.

What your Agent keeps under control

  • Canonical consistency — the same facts stated the same way across every surface.
  • Freshness — time-sensitive facts kept current and marked with effective dates.
  • Structured coverage — your key entities represented in machine-readable formats.
  • Source precedence — clear signals for which source AI systems should trust first.
  • Contradiction control — conflicts against your canonical record are detected and corrected.

How to publish

1. Generate AI Signals (Dashboard > AI Signals > Generate). 2. Review and approve — approval publishes to your machine-readable surfaces and pings AI crawlers via IndexNow. 3. Verify your domain (Settings > Domains) so your surfaces are served from your own domain. 4. Keep it fresh — run regular AI Updates so your data never goes stale.