02
Gold
OpenAI
AI Companies
572,146
Total check volume
- 30-day check volume
- 30,324
- Current grade
- A
Trust Score9.60/10
Trust Score 9.60/10 · Grade A
ShouldEye Industry Rankings
The Internet’s Entity-Rating Authority
Where the Internet Gets Ranked.
Top 100 rankings for every industry. Each category is ranked independently from #1 to #100 using 90+ trust and risk signals, evidence provenance, and multi-model AI consensus.
Built for global coverage. Defended by methodology.
Top 100 by industry
Each industry is ranked independently from #1 to #100.
100 overview records
01
Silver
Apple
Consumer Apps
605,470
Total check volume
- 30-day check volume
- 51,465
- Current grade
- B
Trust Score8.90/10
Trust Score 8.90/10 · Grade B
03
Gold
Stripe
Financial Services
529,881
Total check volume
- 30-day check volume
- 23,845
- Current grade
- A
Trust Score9.70/10
Trust Score 9.70/10 · Grade A
Top Ranked Entities
Discover leaders across industries. Choose an industry to open its independent Top 100.
8.94/10
B · Generally Trusted
SilverTotal check volume605,47030-day check volume: 51,465
18,740 indexed evidence signals
Evidence refreshed 8h ago
Risk: LowClaimed StableStableStrong Consensus · 88% agreement · 5 models
9.62/10
A · High Trust
GoldTotal check volume572,14630-day check volume: 30,324
12,842 indexed evidence signals
Evidence refreshed 3h ago
Risk: LowClaimed Trending UpStableStrong Consensus · 94% agreement · 5 models
9.70/10
A · High Trust
GoldTotal check volume529,88130-day check volume: 23,845
14,351 indexed evidence signals
Evidence refreshed 2h ago
Risk: LowClaimed Trending UpStableStrong Consensus · 96% agreement · 5 models
7.21/10
B · Generally Trusted
SilverTotal check volume519,82030-day check volume: 48,343
11,890 indexed evidence signals
Evidence refreshed 8h ago
Risk: ElevatedClaimed Trending DownHighMixed Consensus · 58% agreement · 5 models
8.28/10
B · Generally Trusted
SilverTotal check volume499,12030-day check volume: 42,425
10,880 indexed evidence signals
Evidence refreshed 10h ago
Risk: LowClaimed StableStableStrong Consensus · 83% agreement · 5 models
The ShouldEye Trust Stamp System
How ShouldEye Stamps Work
One evaluation produces a 1–10 Trust Score, an A–F grade, and a Red → Gold Trust Stamp. Thresholds are fixed, independent, and never for sale — the same seals consumers see on company reports.
Red
Orange
Silver
Gold
No paid ranking. No pay-to-stamp. Subscription status never changes a score, grade, or stamp.
See score · grade · stamp mappingWhy this ranking exists
Why ShouldEye Rankings Matter
Reviews are one signal. ShouldEye turns ownership, legal, security, customer experience, and AI consensus into a public standard — for consumers deciding, and for companies accountable to evidence.
- 01
Better consumer decisions
Compare entities before you buy, sign up, or deposit — with scores that move on evidence, not popularity contests.
- 02
Business accountability
Claimed profiles can respond to signals, close gaps, and earn a stamp the public already understands.
- 03
Ongoing surveillance
Continuous monitoring refreshes rankings as ownership, legal, security, and complaint signals change.
- 04
Transparent evidence
Every assessment is grounded in indexed signals with provenance and freshness — reviews never stand alone.
- 05
Category comparison
Category-relative calibration keeps rankings meaningful across AI, finance, marketplaces, health, and more.
- 06
Claim & improve
Businesses claim profiles to monitor trust movement and work toward a stronger stamp — without buying rank.
For Business
Claim your profile. Improve your signals.
Respond to evidence, monitor trust changes, and earn a ShouldEye stamp consumers recognize — without buying rank.
Claim Your ProfileHow the Internet Trust Ranking Is Built
The ShouldEye Ratings Architecture
A defensible, human-auditable system: 90+ signals, evidence provenance, multi-model consensus, category calibration, and stamp thresholds that move together with score and grade.
90+ signals
- 01
Signal intake
Collect 90+ trust and risk signals across ownership, legal, security, policies, customer experience, and community evidence.
- 02
Provenance & freshness
Source quality, contradictions, and recency gate what can influence the score — stale or weak evidence is down-weighted.
- 03
Multi-model consensus
Participating AI models evaluate evidence independently; agreement strengthens confidence, disagreement surfaces uncertainty.
- 04
Normalize & calibrate
Scores are normalized and category-relative so rankings stay comparable within AI, finance, marketplaces, games, health, and beyond.
- 05
Score · Grade · Stamp
One evaluation maps to a 1–10 score, A–F grade, and Red/Orange/Silver/Gold stamp with fixed qualification thresholds.
- 06
Continuous monitoring
As new evidence arrives, EyeQ re-evaluates. Rank movement, stamp changes, and risk shifts stay visible over time.
Scoring dimensions
Ownership & transparency
Identity, leadership, and business disclosure signals.
Legal & regulatory
Public records, compliance posture, and material legal history.
Security
Technical integrity, data protection, and safeguard indicators.
Customer experience
Support patterns, complaints, refunds, and resolution quality.
Policies & terms
Privacy, pricing clarity, commercial practices, and policy risk.
Business durability
Operational stability and financial/business resilience signals.
Community & reviews
Reviews and community evidence as one signal — never the whole system.
AI consensus
Cross-model agreement and documented disagreement handling.
Stamp qualification thresholds
Gold 9.0–10.0 (A) · Silver 7.0–8.9 (B) · Orange 4.0–6.9 (D–C) · Red 1.0–3.9 (F). Missing evidence = Not Rated — no positive stamp.
1.0–3.9 (F)
4.0–6.9 (D–C)
7.0–8.9 (B)
9.0–10.0 (A)