The AI Data Authority Layer
The machine-readable publishing and authority platform for AI systems
Make your website easier for AI systems to parse, prioritize, and cite by publishing machine-readable authority surfaces.
AITWIRE transforms ordinary website content into canonical, governed, machine-readable resources that AI systems, crawlers, retrieval layers, and enterprise assistants can parse, prioritize, and cite more reliably. It is a publishing and control layer for AI-facing information — with canonicalization, structured generation, freshness controls, telemetry, and multi-tenant delivery.
A complete publishing and control layer
Six core capabilities that work together to make your content AI-ready.
Canonicalization
Determine what is authoritative, current, duplicated, superseded, or stale.
Publishing
Generate machine-readable authority surfaces for AI-facing consumption.
Freshness Control
Manage versioning, revocation, invalidation, and change-aware propagation.
Telemetry
Improve provenance, attribution, observability, and downstream governance.
Multi-Tenant Delivery
Support tenant isolation, entitlements, edge delivery, and consistent outputs at scale.
Enterprise Retrieval
Supply canonical sources that internal retrieval and citation layers can prioritize.
Canonicalization across heterogeneous inputs
AITWIRE can help determine which content is authoritative, which copies are near-duplicates, which statements supersede others, and which resources are current versus stale.
This turns ordinary website content and connected surfaces into a clearer source-of-truth model for downstream AI consumption.
- Identify authoritative sources
- Detect near-duplicate or overlapping content
- Distinguish current from stale resources
- Support supersession and change-aware publishing
Structured generation from messy websites
AITWIRE can transform ordinary website content into machine-readable authority documents, policy surfaces, AI-readable metadata, and controlled canonical summaries.
This acts like a translation layer between the human web and machine-consuming agents.
- Generate machine-readable authority surfaces
- Produce canonical payloads from ordinary content
- Support policy and metadata publishing
- Improve parseability for crawlers, search systems, and enterprise assistants
Freshness, versioning, and revocation control
AITWIRE is designed to support versioning, freshness windows, revocation signals, invalidation of outdated authority, and auditability of changes.
This moves the platform beyond static publishing toward a control-plane model for AI-facing information.
- Freshness and TTL-aware publishing
- Versioned authority surfaces
- Revocation and invalidation workflows
- Auditability of updates and changes
Attribution, provenance, and observability
AITWIRE can emit telemetry that helps site operators and downstream consumers infer what was consumed, from which canonical source, under what permissions or policy assumptions, and whether downstream summaries drifted from the authoritative surface.
- Track authoritative source relationships
- Support provenance-aware consumption models
- Help detect drift from canonical surfaces
- Extend into observability and governance workflows
Multi-tenant delivery at scale
AITWIRE is designed to work across many domains, tenants, and deployment patterns with policy isolation, entitlement controls, safe defaults, consistent output generation, and edge delivery support.
- Tenant-aware policy boundaries
- Entitlement-aware publishing controls
- Consistent output generation across sites
- Support for edge delivery and rollback-oriented operations
Canonical sources for internal systems too
AITWIRE can also support internal systems by supplying canonical machine-readable sources that retrieval and citation layers can prioritize.
This makes the platform relevant not only to public-facing website publishing, but also to enterprise retrieval, internal assistants, and governed knowledge delivery.
AI Parseability
AI systems do not read websites the way humans do. They parse, retrieve, and synthesize — and they need clear signals about what is authoritative, what is current, and what should be trusted over conflicting sources.
AI Parseability is the degree to which your brand’s facts are machine-readable, consistent, correctly structured, and unambiguous enough for AI systems to retrieve and cite accurately. AITWIRE measures it, scores it, and helps you improve it over time.
- Structured entity records
- Canonical claim markers
- Freshness and version signals
- Contradiction and disambiguation rules
- Authority surface coverage score
What is being scored
Canonical consistency
Are the same facts stated the same way across all your surfaces?
Freshness
Are time-sensitive facts current and marked with effective dates?
Structured coverage
Are key entity types represented in machine-readable formats?
Authority signals
Can AI systems identify which source should take precedence?
Contradiction count
How many facts on your surfaces conflict with your canonical record?
Open Entity Data Protocol
AITWIRE API for AI Systems
AITWIRE doesn't just serve businesses — it serves the AI systems that need their data. A standardized, read-only API for any AI system to discover, retrieve, verify, and cite business entity data.
- Entity lookup by domain or business name — no auth required
- Structured feeds: products, services, articles, locations, policies
- Purpose policies: machine-readable training/inference/citation permissions
- Verification proofs: DNS, meta tag, JSON-LD, cryptographic signatures
- Pre-built function-calling tool for LLM orchestration
- Consumer API keys with 5x rate limits and usage analytics
Building an LLM or AI platform? Contact ai-systems@aitwire.com for dedicated onboarding, custom rate limits, and priority support.
Who uses this
LLM Operators
OpenAI, Anthropic, Google — verified business data for grounding and RAG
AI App Developers
Anyone building AI apps that reference businesses
RAG Pipeline Engineers
Structured feeds with delta queries and conditional requests
AI Agents & Assistants
Function-calling tool for entity lookup during conversations
GET /v1/entity/lookup?domain=example.com
→ verified entity data, feeds, proofs, purpose policies
Need a deeper publishing and governance layer for AI-facing information?
Explore how AITWIRE supports canonical publishing, freshness control, and multi-tenant authority delivery.