Govern What AI Learns From You. Control how it understands you.

Verified once. Visible across AI.

Keel is the data governance layer that ensures AI systems learn from verified, structured, and current company data - so your organization is represented accurately everywhere AI speaks.

1. THE PROBLEM

AI's Data Blindspot

AI doesn't deliberately get it wrong - it just learns from the wrong places.

Today's models absorb a noisy mix of incomplete, outdated, and unverified information.

The result:

Facts vary across AI systems because there's no direct, verified channel to learn from.

Important information is incomplete or outdated in areas that matter most.

AI depends on secondary and third-party sources instead of authoritative company data.

Misinformation spreads and compounds as those sources reinforce one another.

This isn't an optimization issue - it's a data integrity failure.
To fix what AI says, you must first fix what AI learns from.

2. INTRODUCING KEEL

The AI Truth Infrastructure

Keel helps organizations take control of their verified truth - the structured data foundation that AI should learn from.

01

Centralize and verify your most important facts so AI learns from trusted, high-quality data.

02

Turn internal knowledge into premium authoritative AI-ready truth.

03

Syndicate verified data across trusted domains to shape how AI systems understand your organization.

04

Track and prove accuracy across models to ensure truth stays consistent everywhere.

Keel doesn't track brand mentions or chase prompts.
It's not SEO — it's data governance for AI.

3. THE KEEL LOOP

How It Works

A continuous system for AI data integrity and governance. Each cycle strengthens the accuracy of what AI understands—replacing guesswork with verified truth.

1

Upload

Centralize critical company data from authoritative internal sources into the Keel platform

2

Verify

Structure and validate information to meet enterprise-grade accuracy and compliance standards

3

Publish

Syndicate verified data across trusted domains where AI systems discover and learn

4

Prove

Monitor AI model outputs and measure accuracy across platforms to ensure consistency

4. WHY ORGANIZATIONS USE KEEL

Why Organizations Use Keel

Reduce Risk - Inaccurate or outdated AI outputs can distort strategy, reputation, and revenue.

Proactive Control - Ensure AI discovers verified facts instead of guessing or inferring.

Own Your Narrative - Control how products, leaders, and performance are understood before AI interprets them.

Align Understanding - Replace confusion with clarity through verified, accessible data.

Team Autonomy - Let business teams own accuracy without engineering or 3rd party dependency.

5. WHO IT'S FOR

Who It's For

Organizations where information inaccuracy equals risk:

Brand & Communications

Leaders protecting reputation

Corporate Strategy

Public Affairs teams

Legal & Compliance

Governance teams

Investor Relations

Financial communications

Regulated Industries

High-compliance sectors

Global Enterprises

Multi-division organizations

6. EXECUTIVE DIAGNOSTIC

Your AI Truth Baseline

See how AI currently understands your organization - and where truth gaps exist.

Keel's Complimentary Visibility Diagnostic Process reveals your AI representation across major models and identifies critical areas of accuracy.

This isn't a demo — it's your first step toward verified AI representation governance.

Request Executive Diagnostic →

Submit your name and organization to arrange a confidential review.