How ShouldEye Works | EyeQ Trust Intelligence & Multi-Model AI

The Idea

Search Finds Information. ShouldEye Helps You Evaluate It.

Traditional search engines primarily help users find webpages. Individual AI systems can generate answers. Review platforms collect consumer experiences.

ShouldEye is designed to bring these types of intelligence together.

ShouldEye combines information from across the web, EyeQ analysis and multiple AI perspectives to help surface facts, trust signals, risks, disagreements and important context around the subject being researched.

The Process

From Question to Intelligence

  1. Ask ShouldEye
    Research a company, person, website, product, game, scam, message, brand, service or another subject.

  2. Find Relevant Information
    ShouldEye identifies publicly available information relevant to the question.

Depending on the subject, this may include:

  1. EyeQ Analyzes the Signals
    EyeQ organizes and compares available information to identify:

    • useful facts
    • positive signals
    • potential risks
    • inconsistencies
    • supporting evidence
    • important context

  2. Multiple AI Perspectives
    ShouldEye can use multiple AI models and model-based systems to examine a question from different perspectives.

The analysis depends on the mode selected.

  1. Get the Intelligence
    ShouldEye presents the findings in a structured response that can include:
    • trust signals
    • risk indicators
    • source information
    • evidence
    • model comparisons
    • EyeQ Trust Score
    • relevant context

EyeQ Intelligence

The Intelligence System Behind ShouldEye.

EyeQ is ShouldEye's AI intelligence system for analyzing trust, risk and information across the web.

EyeQ organizes and compares signals from relevant sources and AI systems to help users understand companies, people, websites, products, games, scams and other subjects.

EyeQ powers ShouldEye intelligence features including trust assessments, the EyeQ Trust Score and multi-model analysis.

Signals

Different Questions Require Different Evidence.

ShouldEye does not apply the exact same signals to every subject. EyeQ considers information based on what is being researched, which signals are relevant and what information is available.

The availability, relevance and quality of these signals vary by subject. ShouldEye does not assume every source carries equal weight.

EyeQ Trust Score

Complex Signals. One Clearer Assessment.

The EyeQ Trust Score is ShouldEye's proprietary trust and risk assessment for companies, websites, products, people, games and other entities.

EyeQ evaluates multiple available trust and risk signals rather than relying on a single review, rating or source.

Illustrative Example
8.4/10

The specific signals used can vary depending on the subject and available evidence.

An EyeQ Trust Score should be considered together with the underlying findings, evidence and context presented by ShouldEye.

Score, Grade & Stamp

ShouldEye turns complex evidence into three signals you can understand immediately: a 1–10 Trust Score, an A–F grade, and a Red, Orange, Silver, or Gold Trust Stamp. One evaluation powers all three, so the result stays consistent wherever it appears.

How the assessment comes together

  1. Evidence
    Relevant publicly available information is identified for the subject.

  2. Signals
    EyeQ organizes trust and risk indicators from the available evidence.

  3. Evaluation
    Signals are considered together rather than as a single isolated rating.

  4. EyeQ Trust Score
    Findings are summarized into a clearer assessment with supporting context.

Multi-Model AI

One Model Doesn't Always Tell the Whole Story.

Different AI models can interpret the same question or information differently.

ShouldEye can use a network of up to 60+ AI models and model-based systems, where applicable, to help analyze information from multiple perspectives.

The models used can vary depending on:

Not every search sends the prompt to all 60+ models.

AI Modes

Choose How ShouldEye Thinks.

Use one model, compare two, find consensus or look for an additional edge.

Consensus

Find Where AI Agrees.
ShouldEye Consensus Mode compares information and responses across multiple AI models to identify where models agree, where they disagree and which conclusions have broader support.

Consensus Mode is designed to reduce dependence on the output of one AI system by examining multiple perspectives.

From Sources to Findings

ShouldEye is designed to provide context around findings instead of asking users to rely blindly on one AI-generated conclusion.

  1. Source: Official record
  2. Information: Relevant information extracted
  3. Signal: Signal identified
  4. EyeQ Analysis: Context evaluated
  5. Finding: Finding presented to the user.

Research More Than Websites.

ShouldEye analyzes publicly available information. It does not claim access to private databases unless that access is independently true for a specific product surface.

The Web Changes

Intelligence Should Change With It.

Companies change. Policies change. Reviews accumulate. Legal proceedings develop. Websites change. New information becomes available.

ShouldEye intelligence can change when the information available about a subject changes.

Transparency

Intelligence, Not Blind Trust.

ShouldEye is designed to help users research and understand information, not replace independent judgment.

AI systems can make mistakes. Public information can be incomplete, outdated or incorrect. Sources may disagree, and the absence of negative information does not guarantee that a person, company, website or product is safe or trustworthy.

EyeQ Trust Scores and ShouldEye findings should be considered together with the underlying evidence, sources and context. Important decisions should be independently verified where appropriate.

ShouldEye at a Glance

ShouldEye is a multi-model AI search and trust intelligence platform. EyeQ is ShouldEye's intelligence system for analyzing information, trust and risk across multiple web sources and AI systems.