Find answers and learn how ShouldEye works.

ShouldEye is an AI-powered consumer trust intelligence platform that helps you verify companies, detect scams, and make safer decisions online. We analyze 40+ trust signals per company. Including refund policies, legal compliance, privacy practices, and real consumer outcomes. To produce a behavior-based Signal Trust Score (STS). Unlike review sites, we measure how companies actually behave, not how they market themselves. Free to use; no credit card required.

Step 1: Search. Enter a company name, person, or suspicious URL in the search bar. Step 2: Analyze. Our EyeQ AI engine scans 40+ trust signals (policies, complaints, legal filings, refund outcomes, web reputation) in real time. Step 3: Decide. You get a trust score (0–10), letter grade (A–F), and clear breakdown so you can transact with confidence. Results typically appear in under 2 seconds.

EyeQ AI is our proprietary trust intelligence engine. It powers all trust checks, comparisons, and analysis on ShouldEye. You can chat with it directly to ask questions about any company. From "Is this site safe?" to "Compare these two services for refund policies." EyeQ synthesizes data from 40+ signal sources and returns grounded, source-backed answers in seconds.

Ask specific questions for the best results. Examples: "Is [company] safe to buy from?", "Compare [A] vs [B] for customer service", "Summarize the refund policy for [company]", "What are the biggest red flags on this site?", "Generate a refund request letter for [company]." The more specific your question, the more detailed and actionable the AI response will be.

Treat an EyeQ answer as a brief, not a verdict. Single mode is one engine’s take — useful, but one viewpoint. Duel shows independent answers so you can judge the evidence; EyeQ does not pick a winner. Consensus finds overlap across engines, which reduces blind spots but is not proof. Separate claims with named sources from inference, and check the sources yourself before you act.

Trust scores (the Signal Trust Score, or STS) are built by combining several layers: we analyze terms and conditions, refund rules, billing and privacy policies; we collect and verify user experiences and documented outcomes; we study solutions users test and their results; and we examine public and legal context. The score reflects how closely real outcomes align with stated rules and expectations. It updates continuously as policies and outcomes change. We do not rely on self-reported business data or review volume.

The Signal Trust Score (STS) is a number from 0 to 10 that reflects how consistently a company treats users fairly over time. It is not a popularity score. It is behavior-based and updates as new information appears. Companies cannot pay to change it; improvement comes only from better real-world behavior, clearer policies, and more consistent outcomes. The letter grade (A–F) is derived from the STS.

Trust Rooms are topic-based intelligence hubs organized by industry. Such as Gaming, E-Commerce, Crypto, Subscriptions, and more. Each room contains curated subjects, trending discussions, live activity, and community-contributed experiences specific to that sector. Think of them as focused research spaces where all relevant trust intelligence is gathered in one place.

Predict is ShouldEye's AI-powered forecasting engine. It analyzes historical trust data, complaint patterns, policy changes, and behavioral signals to forecast how a company's trustworthiness is likely to change in the near future. Use it to anticipate risks before they materialize. Like predicting a company will tighten withdrawal policies or increase hidden fees.

Discover is your curated intelligence feed. It surfaces trending trust intelligence, emerging risks, newly flagged companies, and community-highlighted insights across all sectors. Think of it as a smart news feed specifically for consumer protection. Powered by AI and shaped by real verification activity across the platform.

Action Plans are step-by-step guides to resolve specific issues with companies. Like recovering a denied refund, disputing a charge, escalating a complaint, or navigating a complex cancellation process. Each plan includes concrete steps, expected timelines, success rates, and tips based on real user outcomes. Plans are available for both community-verified scenarios and custom AI-generated situations.

Top Rankings are leaderboards showing the most and least trusted companies within a sector or category. Rankings are derived from Signal Trust Scores and updated continuously as new data arrives. Use them to discover the best-performing companies, identify which ones improved or dropped, and compare leaders side by side.

The Intelligence Library is a collection of deep-dive, signal-based research topics organized by theme. Each topic aggregates trust signals, verified experiences, policy analysis, and AI insights into a comprehensive resource. Topics cover areas like account verification issues, billing disputes, payment recovery, withdrawal problems, and regulatory compliance across industries.

Contribute is where you share your real experiences with companies. Refunds received or denied, support interactions, payout timelines, policy enforcement, and more. Your contributions feed into ShouldEye's trust signals, helping the community make better decisions. Every verified contribution strengthens the accuracy of trust scores across the platform.

All data is encrypted in transit (TLS 1.3) and at rest (AES-256). Your search queries are never sold to third parties or used for advertising. We use industry-standard security practices including regular penetration testing, SOC 2 compliance, and automated threat monitoring. Your trust research stays private.

Alerts notify you when something important changes about a company you're watching. A trust score drop, a new complaint surge, a policy update, or a regulatory action. You choose what to monitor and how urgently you want to be notified. Alerts are the early warning system that keeps you ahead of emerging risks without having to manually check every company.

Scam Check is ShouldEye's dedicated fraud detection mode. Switch to it from the search bar and enter a suspicious URL, paste an email, or upload a screenshot. Our AI analyzes 20+ fraud indicators. Domain age, SSL configuration, visual similarity to known brands, payment flow patterns, and social engineering tactics. To determine if something is a scam. Results include a threat level, specific red flags, and recommended actions.