CitableEngine

Turn Records Into Citable Information

Make Information Citable.

The web contains enormous amounts of information. AI systems increasingly need information that is structured, attributable, current, verifiable, and connected to identifiable entities.

CitableEngine explores how authoritative Records can become citable machine-readable knowledge.

Or explore a demo Business Record

Demo DataPrototype. No third-party publishing or citation guarantees are claimed.

The Architecture

From raw information to citable knowledge.

Every layer adds something a machine needs: identity, structure, evidence, attribution, and time.

Layer 1

Raw Information

  • Websites
  • Business information
  • Documents
  • Business Records
  • Offers
  • Services
  • Locations
  • Credentials
  • FAQs

Layer 2

Citable Engine

  • Entity Resolution
  • Fact Extraction
  • Record Matching
  • Evidence
  • Source Attribution
  • Provenance
  • Freshness
  • Verification
  • Relationships
  • Structured Data

Layer 3

Citable Knowledge

  • Entities
  • Facts
  • Relationships
  • Evidence
  • Sources
  • Timestamps
  • Confidence
  • Record IDs

Layer 4

Information Surfaces

  • Web
  • Search
  • AI
  • Agents
  • Applications
  • Local Media
  • Marketplaces
  • Feeds

Working Prototype

Analyze a Record. Inspect every fact.

The demo Record carries 30 structured facts, 15 evidence items, and 10 relationships — including conflicts, gaps, and stale values, because real Records have them.

Analyze a Record →Ask the Record →

Example Local Business

Duluth, Minnesota
Verified
Record ID
BR-102831
Citable Score
74 / 100
Citable Facts
30
Evidence Items
15
Relationships
10
Last Updated
Today, 10:42 AM
Demo Data11 improvement opportunities

Concept

Visibility isn't the same as citability.

A business may appear online without its information being structured, consistent, supported, fresh, entity-resolved, attributable, or machine-readable.

Visibility asks

Can you be found?

Citability asks

Can your information be confidently understood, supported, and referenced?

Signature Loop

The Citable Engine loop.

  1. Record
  2. Facts
  3. Evidence
  4. Provenance
  5. Citable Knowledge
  6. Surfaces + AI + Agents
  7. Feedback / Change
  8. Record

Distribution

One Record. Many surfaces.

The Record persists. The surfaces change.

  • Website

    Structured facts rendered on first-party pages.

  • Search

    Machine-readable attributes with sources attached.

  • AI

    Answers that can point back at a Record.

  • AI Agent

    Task-driven retrieval of supported facts.

  • Local Media

    Sourced information for local coverage.

  • Marketplace

    Offers with verifiable provenance.

  • Local Feed

    Change events as they occur.

  • Application

    Embedded Record data in software.

  • Knowledge Graph

    Entities and labeled relationships.

  • API

    Programmatic Record retrieval.

  • MCP

    Agent-accessible Record context.

Where could citable information go? →

The web made information available.

The next challenge is making information understandable, attributable, current, and citable.

CitableEngine

Turn Records Into Citable Information.

Explore the Demo →

An exploration of the infrastructure between authoritative Records and the AI-readable web.