Being visible is not enough
AI may understand your business and still not choose it.
Runexus
AI Trust Engine
Trust Layer Analysis
The AI Trust Engine shows how AI systems evaluate your brand across the internet and what is preventing you from being selected, cited, and recommended.
After discovery, AI systems evaluate trust before they decide what to cite, recommend, or reuse. That decision is shaped by external signals, consistency across sources, and perceived authority and reliability.
If AI trusts your brand, it can choose it
AI may understand your business and still not choose it.
This is not based on your website alone. The AI Trust Engine focuses on the second layer: whether answer engines have enough external proof to cite, recommend, and reuse your brand.
See how AI evaluates your brand
The AI Trust Engine analyzes how your business is perceived across the broader internet. This is not a surface-level reputation scan. It is a direct analysis of how answer engines determine which brands are safe to reuse.
Runexus is built around three layers of AI decision-making: Discovery, Trust, and Truth Layer. The AI Trust Engine solves the second layer. Even if AI understands your site, it will not select your business without trust.
Recent Authority Scans
Track whether your authority is improving over time.
Saved Report Profiles
Only this signed-in account can view and rerun these saved authority setups.
Your reusable setups will appear here so you can rerun them fast.
Save This Setup
After you dial in the scan inputs, save them here so this account can run the same setup again later.
Authority Verdict
Waiting for score summary.
Signal Summary
Executive Snapshot
A clean read on where this brand stands before you dig into the deeper signal evidence below.
Detected Entity: Unknown
Key Findings
Next Best Moves
Positioning Summary
If AI does not trust your brand, it will not recommend it. Fix that next.
Run the AI Trust Engine for $49.95/month recurringAI has already decided how strong this brand is based on public signals. This is the decision logic behind that judgment.
Executive Takeaway
Authority Verdict
How AI Describes You
What AI Can Already Trust
Trust Verdict
Recommendation Verdict
Why You Are Not Being Selected
Limiting Factors
What Is Missing Vs A Strong Entity
If-Then Recommendation Logic
Fastest Path To Authority
Query Scenario: Category Recommendation
Query Scenario: Trust-Sensitive Recommendation
Query Scenario: Expert Or Vendor Recommendation
The public evidence AI systems can lean on when deciding whether your brand looks real, current, and safe to recommend.
Total Mentions
Source Diversity
Dominant Category
Observed External Language
Top Sources
These are the platforms currently shaping how the internet understands your brand.
Top Keywords
Category Distribution
These scores explain why AI would choose or skip your brand in real-world answers based on external signals.
Surface Coverage
Entity Clarity
AI Citation Readiness
Covered Surfaces
Missing Surfaces
Trust And Reputation Signals
Surface Breakdown
Recommendation-Grade Evidence
What To Do Next
Why You Are Not #1
Why AI may recommend another brand before yours.
Signal Gaps
Why Competitors Win
Top 3 Fixes
Path to #1
Estimated moves that could improve AI selection.
Backlink and citation insight based on the external sources AI can already find for this brand.
Backlink Read
Strongest External Sources
Structured external authority issues limiting how confidently AI systems can reuse your brand.
These are the highest-leverage fixes for improving how AI systems interpret your brand across the internet.