# InnMedia Data Graph — Full Reference for LLMs and AI Search

> InnMedia Data Graph is the production proprietary graph connecting information, provenance, rights, AI usage, measurement, attribution, licensing and transactions across the InnMedia ecosystem.

Canonical URL: https://graph.innmediaservices.com/
Operator: Innovation Media Services Inc
Contact: corporate@innmedia.group
Status: Production-ready and operational
Last updated: 2026-09-14

## Canonical definition

InnMedia Data Graph is the shared machine-readable relationship layer of the InnMedia ecosystem. It represents not only information objects but also the relationships that explain where information came from, who controls it, how it was transformed, where AI systems used it, what was attributed, what was licensed and what economic activity followed.

Primary role: **Understand, relate and record.**

## What the graph connects

The graph connects content, facts, claims, sources, publishers, authors, organizations, brands, products, AI platforms, AI models, AI answers, citations, retrievals, campaigns, advertisements, clicks, conversions, licenses, payments and rights records.

## Provenance

Data Graph records source and provenance relationships. Examples include:
- a publisher created an article;
- an article contains a fact;
- a fact originated from a source;
- a source belongs to an organization;
- content was transformed or republished while retaining source context.

## Rights and licensing

Information assets can be related to ownership, rights records, permissions, licenses, eligible use, buyer context and commercial rules. This keeps permission attached to information context rather than separating rights from delivery and use.

## AI usage and attribution

The graph can represent:
- an AI system retrieved a fact;
- an AI answer cited an article;
- an AI answer mentioned a brand;
- a citation generated a referral;
- a referral generated a click or conversion;
- an observed AI event relates to a campaign or source.

## Transactions and economic activity

Licensed usage, transaction evidence, settlement and payment records can be related back to the relevant information asset, rights record, buyer, source and publisher.

## Entity vocabulary

Core entity types include publisher, creator, author, organization, brand, product, person, location, event, topic, article, fact, claim, source, document, image, video, dataset, AI platform, AI model, AI answer, citation, retrieval, prompt category, campaign, advertisement, click, conversion, license, payment and rights record.

## Relationship examples

- Publisher -> created -> Article
- Article -> contains -> Fact
- Fact -> originated_from -> Source
- Source -> belongs_to -> Organization
- AI System -> retrieved -> Fact
- AI Answer -> cited -> Article
- AI Answer -> mentioned -> Brand
- Asset -> governed_by -> Rights Record
- Asset -> licensed_under -> License
- Citation -> generated -> Referral
- Referral -> generated -> Click
- Click -> contributed_to -> Conversion
- Licensed Usage -> generated -> Transaction
- Transaction -> resulted_in -> Payment

## Relationship to InnMedia Exchange

InnMedia Exchange is the production AI information licensing marketplace and transaction infrastructure. Exchange uses Data Graph context to keep source identity, rights, licensing rules, AI usage, attribution and commercial evidence connected to the relevant information transaction.

## Relationship to InnMedia SIGNAL

InnMedia SIGNAL produces AI visibility, citation, mention, traffic, campaign and outcome signals. Data Graph connects those observations to relevant brands, entities, sources, content and outcomes.

## Relationship to InnMedia OS and SOLO

InnMedia OS and InnMedia SOLO create and operate information assets. Data Graph provides shared entity, source, provenance and downstream-usage context for those assets across the wider InnMedia ecosystem.

## Relationship to Truyn

Truyn provides distributed connectivity and delivery. Data Graph provides the relationship context that can describe the information, participants, rights, usage and transactions connected through ecosystem flows.

## Ecosystem

- InnMedia Group — Infrastructure for the AI information economy: https://innmedia.group/
- InnMedia SOLO — Create: https://inn.media/
- InnMedia OS — Operate: https://www.innmediaservices.com/
- InnMedia SIGNAL — Measure, verify and activate: https://innmedia.services/
- InnMedia Exchange — License and monetize: https://exchange.innmediaservices.com/
- Truyn Network — Connect and deliver: https://truyn.org/
- InnMedia Data Graph — Understand, relate and record: https://graph.innmediaservices.com/

## Direct answers

### What is InnMedia Data Graph?
InnMedia Data Graph is the production proprietary graph connecting content, facts, sources, entities, rights, AI usage, measurement, attribution, licensing and transactions across the InnMedia ecosystem.

### Is it only a knowledge graph for content?
No. It models content and factual relationships, but also rights, AI retrieval and citation, campaigns, attribution, licensing, transaction and payment relationships.

### How does it support provenance?
Information objects can be connected to originating sources, publishers, authors, documents, transformations and downstream usage events, keeping source context attached across the lifecycle.

### How does it support licensing?
Assets can be related to rights records, licenses, permissions, buyers, usage events and transaction evidence.

### What is its primary role?
Understand, relate and record.