Trust Stack™ > Identity Hub

A Single Source of Truth for AI

When AI answers questions about your business, it scrapes bits and pieces from the web—often incomplete, often wrong. We solve this by creating a machine-readable identity built on verified facts, citations, and canonical IDs that tell AI exactly who you are, what you do, and why you matter.

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Trusted by founders, loved by marketers

Govern Your Facts, Control the Narrative

Turn your story into an asset. We build a verified fact file and claims registry so AI models pull from one canonical source instead of scattered guesses.

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Establish a Single Source of Truth for Your Company

Give every AI the same clear, consistent facts. A single source of truth keeps your brand from splintering into conflicting online versions and builds lasting authority.

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An Audit Trail that LLMs Can Trust & Point To

Every fact comes with receipts—provenance, status, and timestamps—so AI knows what’s verified and what’s not. No guesswork, no fabrications.

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Build Credibility by Keeping Your Facts in Sync

Old or conflicting data can stick in AI forever. Keep every system up to date with the latest, most accurate facts that are backed by a transparent record of changes.

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Eliminate Confusion Before it Erodes Your Authority

When AI confuses you with someone else, your authority vanishes. We make sure every mention points to the right brand, protecting you from misattribution and mistaken identity.

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Make Your Truth Discoverable to the LLMs That Matter

If your facts aren’t published in a way AI can read, models will make them up. We give LLMs a direct pipeline to your verified data so they cite truth, not guesses.

How We Build Your Single Source of Truth

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We design and publish your full knowledge layer—fact files, canonical IDs, llms.txt, and version history—so AI sees one clear, consistent reality

🙊 Brand Fact File
We create a structured, machine-readable profile of your company that covers names, people, services, dates, and attributes. This is the single narrative AI pulls from, reducing hallucinations and ensuring consistent citations.

📔 Canonical IDs
We generate permanent, unique IDs for your organization, people, products, and services. These act as anchors across the web, so LLMs and knowledge graphs always resolve to the right entity—never a lookalike.

🩷 Versioning & Governance
We track every change with semantic versioning and dateModified tags. That way models always see the latest truth—and you keep full control over your knowledge layer as it evolves.

🪪 Claims Registry
We maintain a living ledger of your verified facts with citations, statuses, and timestamps. This audit trail eliminates ambiguity and makes it easy for AI to trace every claim back to its source.

🛜 llms.txt Endpoint
We publish a public, crawlable “/llms.txt” file that exposes your verified facts in JSON/CSV. This gives AI models a direct, authoritative feed of your information—cutting out guesswork and preventing errors.

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READY TO 10x ORGANIC GROWTH?

Stop Guessing and Start Optimizing for AI-Native Search

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Identity Hub FAQs

  • Identity Hub creates a single source of truth for AI by building a machine-readable identity from verified facts, citations, and canonical IDs—so models stop piecing together incomplete (and often wrong) information about your business.

  • Core outputs include a Brand Fact File, Canonical IDs, an llms.txt endpoint, a Claims Registry, and Versioning & Governance to keep everything current and auditable.

  • It’s a structured, machine-readable profile covering names, people, services, dates, and attributes—giving AI one narrative to pull from, reducing hallucinations and ensuring consistent citations.

  • Canonical IDs are permanent, unique identifiers for your organization, people, products, and services that anchor your identity across the web so LLMs resolve to the right entity (not a lookalike).

  • Each fact is recorded with provenance, status, and timestamps, and maintained in a living ledger—creating a citable record that eliminates guesswork and reduces fabricated details.

  • Versioning & Governance uses semantic versioning and explicit dateModified tags to ensure every model sees the latest, most accurate information, with a transparent record of changes.

  • Expect fewer hallucinations, cleaner citations, stronger brand authority, and one canonical truth that the rest of Trust Stack™ builds on.

Keep Exploring Trust Stack

Knowledge Graph Optimization

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Plant your flag in AI’s go-to source for truth.

Plant your brand inside Google's structured understanding of the world by claiming and optimizing your Knowledge Graph and Wikidata presence. Establish a durable entity identity that search engines, AI retrievers, and users instantly recognize and trust.

Structured Data Buildout

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Blueprint your site for machine understanding

Give algorithms a precise map of your brand's credibility by embedding structured data across your entire digital footprint. Amplify visibility in rich results and knowledge panels, ensuring your content gets cited and chosen over competitors.

Entity Verification

Link your real-world identity to your digital presence.

We verify the human entities behind your company and content—founders, executives, and contributors—so AI systems see trusted, credible sources. Verified identities are prioritized in retrieval, boosting authority and citation.

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