Don't Trust Anything.Until ShouldEye Says so.

ShouldEye can be used to research companies, websites, people, products, games, online services, potential scams, messages, brands and other subjects. Depending on what is being checked, EyeQ can look for information related to reputation, ownership, policies, complaints, legal activity, consumer experiences, safety and other relevant signals.

ShouldEye searches for relevant information across multiple web sources and uses EyeQ AI to organize, compare and analyze the available signals. Instead of relying on a single search result, review site or AI response, ShouldEye is designed to examine information from multiple perspectives and turn it into a clearer intelligence response. Learn more about how ShouldEye works.

ShouldEye analyzes publicly available information from across the web. Depending on the subject, sources may include official websites, company disclosures, terms and privacy policies, public records, legal and regulatory information, news coverage, consumer reviews, complaints, community discussions, social platforms and other relevant online sources. EyeQ can compare information across multiple sources rather than relying on a single source.

Depending on the subject, ShouldEye may analyze public information such as company websites, terms of service, privacy policies, corporate information, consumer reviews, complaints, community discussions, news, regulatory information, legal records, security signals and other relevant online sources.

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.

The EyeQ Trust Score is ShouldEye's proprietary trust and risk assessment for companies, websites, products, people, games and other entities. EyeQ evaluates available signals that may include reputation, ownership and transparency, policies, legal and regulatory information, consumer experiences, complaints, security indicators and other relevant evidence. The EyeQ Trust Score is designed to summarize these signals into a clearer assessment while allowing users to review the underlying findings and context.

The EyeQ Trust Score is based on multiple trust and risk signals analyzed by EyeQ. The specific signals used can vary depending on the subject being evaluated, but may include transparency, ownership information, legal activity, regulatory information, consumer feedback, complaints, reputation, security signals, terms, privacy practices and other relevant data. EyeQ considers the available evidence together rather than relying on a single review, rating or source.

Different AI models can interpret information differently. ShouldEye can use a network of 60+ AI models and model-based systems to analyze questions and information from multiple perspectives rather than depending entirely on the output of one model. The models and sources used can vary depending on the type of question or analysis.

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 a single AI system by evaluating a question across multiple models and presenting areas of agreement and disagreement.

ShouldEye Duel Mode allows two AI models to evaluate the same question or subject side by side. Duel Mode helps users compare differences in responses, conclusions, reasoning and emphasis between models instead of receiving only one AI perspective.

ShouldEye Single Mode allows users to select and use one AI model for a question or analysis. Single Mode is designed for users who want a direct response from a specific model rather than a multi-model comparison or combined result.

ShouldEye Edge Mode is designed to surface additional angles, risks, opportunities and useful insights that may not appear in a conventional AI response. Edge Mode focuses on identifying context that may give the user a deeper understanding of a subject or reveal considerations that are easy to overlook in a standard answer.

Traditional search engines primarily help users find webpages, while individual AI assistants typically generate an answer using one model or system. ShouldEye is designed as a trust intelligence layer that combines web research, source analysis and multiple AI models to evaluate a subject from different perspectives. ShouldEye focuses on helping users understand trust, risk, reputation and important context about companies, people, websites, products, games and other online entities.

Traditional review platforms primarily organize ratings and experiences submitted by users. ShouldEye is designed to analyze a broader set of information that can include reviews as well as policies, company information, public records, legal and regulatory signals, online discussions, security information and other web intelligence. EyeQ combines these signals to provide additional context around a company, website, product or other subject.

ShouldEye evaluates trust and risk by examining multiple signals rather than relying on a single rating or review. Depending on the subject, EyeQ may consider ownership and transparency, legal and regulatory information, policies, consumer experiences, complaints, reputation, security signals, public records and other relevant evidence. ShouldEye organizes these signals to help users understand both positive indicators and potential risks.

ShouldEye intelligence can change as new information becomes available. New reviews, complaints, policy changes, company developments, legal activity, regulatory information and other signals can affect what EyeQ finds. Individual ShouldEye pages may therefore display updated findings as new information is discovered.

No single score or source should replace the underlying evidence. ShouldEye scores and AI findings are designed to help summarize relevant signals, but users should also review the supporting information, sources and context presented on the ShouldEye page, particularly when making important financial, legal, safety or personal decisions.