Fact Verification

AI Information Reliability

Are AI models providing accurate information about your brand? Enter your real company data, compare it against AI-generated responses. Detect misinformation, fabricated data, and missing details.

Is AI Lying About Your Brand?

AI models can confidently provide incorrect information. Wrong founding year, fabricated products, incorrect executive names...

33%

of AI responses contain at least 1 fabrication

8 Fields

critical company data points that need verification

91%

of users believe what AI tells them

How Ground Truth Solves This

Compare your real data against AI outputs

Before: Unknown

You don't know which information AI gives incorrectly. Customers receive wrong data.

AURA Compares

Your real data is compared field-by-field with 9 AI models' responses. Correct, incorrect, missing, and partial matches are detected.

After: In Control

You know which models say what incorrectly. With correction strategies, you can spread the right information.

Live Demo

Explore a sample information reliability report.

View Demo

Features

Verification & Comparison

8 critical field-level accuracy checks

Real data vs AI response side-by-side comparison

Correct / Incorrect / Partial / Missing classification

Model-Level Analysis

Individual accuracy scores for 9 AI models

Details of which model gets which field wrong

Fabrication detection and severity scoring

Risk & Reporting

Overall accuracy score (0-100) and risk level

Fabrication detail report

Correction strategy recommendations

Who Is It For?

Anyone who cares about the accuracy of their brand information

👤

Public Relations Director

We discovered through this tool that AI was misspelling our CEO's name. Critical for reputation.

Corporate reputation protection

📊

Brand Manager

One AI model showed our company as founded in 2012. The real date is 2018. Ground Truth caught this.

Misinformation detection and correction

🎯

Corporate Communications Director

We run quarterly ground truth reports. We track our AI information quality over time.

Regular information quality monitoring

How It Works

1

Enter Real Data

Enter your company's factual information: founding year, CEO, headquarters, products/services, employee count, and other key data.

2

Collect AI Responses

We query 9 AI models about your company and collect their responses.

3

Compare & Analyze

AI responses are automatically compared with your real data. Incorrect, missing, and fabricated information is flagged.

Get Started

Included in Growth and Business plans. Additional verification layer for your AURA analysis.

Available in Growth and Business plans