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.
AITWIRE turns the facts you confirm into canonical, governed, machine-readable data that AI systems, crawlers, and assistants can parse, prioritize, and cite reliably. AITWIRE verifies and publishes — it does not write your prose.
What AITWIRE 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, and locations.
What AITWIRE 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. Review your AI Signals (Dashboard > AI Signals). AITWIRE assembles them from your confirmed facts; approve to publish. 2. Approval publishes to your machine-readable surfaces and pings AI crawlers via IndexNow. This is suggest-and-confirm — nothing goes live until you approve it. 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.