The trust layer for AI-generated content

Trust infrastructure for AI

TrustAIQ uses proprietary machine learning to help people and companies verify AI-generated content.

TrustAIQ turns uncertain AI-generated content into measurable trust signals and compliance-ready evidence.

5

Media types

38

Evidence signals

12+

Provider families

Live trust intelligence
Verified
82/100

Trust scan

9.4y

Domain age scan

2/100

Spam risk scan

Trust Report

Content trust assessment

Review disclosure
82
Trust score

Likely AI source

OpenAI / GPT-family

Domain age

9.4 yrs

Established source signal

Spam score

2/100

Low public risk

AI-generated probability87%
Disclosure confidenceHigh
Trust riskMedium

Recommended action: Review disclosure.

Alternative matches

Claude-like16%
Gemini-like6%
Human-like4%
Trust score intelligence
Audit-ready evidence
Synthetic content trust
AI compliance
Forensic fingerprinting

Trust score scanner

Verify websites, documents, images, video, and text.

TrustAIQ analyzes public webpage content for AI style, disclosure, and provenance signals. It does not perform cybersecurity scanning.

One public page only
AI writing style
Disclosure signals
Content provenance

Awaiting content sample

The report will render here with Trust Score, AI probability, closest style match, disclosure status, and provenance signals.

Trust intelligence

Trust signals for every format

TrustAIQ identifies AI-generated content, evaluates trust risk, and attributes likely AI model families across websites, documents, images, video, audio, and synthetic media.

Website trust

Scan pages, embedded media, disclosure signals, and source context.

Document trust

Evaluate reports, submissions, transcripts, and enterprise documents.

Image trust

Detect synthetic image signals, provenance gaps, and manipulation risk.

Video trust

Analyze frame artifacts, temporal consistency, and generated-video signatures.

Audio trust

Review voice cloning indicators, waveform patterns, and disclosure confidence.

Model trust

Attribute likely model families and provider-style fingerprints.

Source trust

Combine origin, context, metadata, and reliability signals.

Compliance trust

Produce measurable trust signals for audit, disclosure, and governance workflows.

AI trust and compliance workflows for serious teams.

From public-interest investigations to regulated enterprise review, TrustAIQ turns uncertain AI-generated content into measurable trust signals, disclosure confidence, and audit evidence.

Journalists

Validate source material, investigate trust risk in synthetic articles, images, audio, and video before publication.

Compliance teams

Document AI use, trust risk, disclosure confidence, provenance, and review evidence for regulated workflows.

Enterprises

Monitor public sites, knowledge bases, documents, media libraries, and internal content for AI fingerprints at scale.

Platforms and marketplaces

Add provenance intelligence to listings, profiles, reviews, uploads, and moderation queues.

Pricing

Start with Trust Score checks. Scale into trust infrastructure.

Flexible tiers for investigators, creators, operational teams, and enterprises preparing for synthetic media governance.

Free

For early content trust checks

$0/mo
3 scans per day
Website and text checks
Basic trust score
Limited report
Get started
Popular

Pro

For individual higher-usage access

$10/mo
30 scans per day
Expanded model access
Higher usage limits
Longer context windows
Get started

Business

For operational teams

$30/mo
300 scans per day
Monitoring
Research intelligence
Exclusive reports
Get started

Enterprise

For trust infrastructure

Custom
AI trust infrastructure
Private deployment options
Compliance workflow support
Advanced model attribution
Get started