> ## Documentation Index
> Fetch the complete documentation index at: https://learn.orbexa.io/llms.txt
> Use this file to discover all available pages before exploring further.

# OTR trust scoring case studies

> Real-world applications of OTR trust scoring — case studies covering AI agent recommendations, supply chain assessment, and brand monitoring.

# Case Studies

## 12.1 Case 1: AI Shopping Assistant

**Scenario**: An AI shopping assistant uses OTR trust scores when recommending products to consumers.

**Implementation**:

1. The user says, "Recommend a pair of running shoes under \$150"
2. The AI identifies 10 candidate merchants
3. It queries each merchant's OTR score in parallel
4. Candidates are ranked by a composite formula (50% product relevance + 30% trust score + 20% price)
5. The top 3 results are presented with their trust badge

**Outcome**: Users are significantly more likely to click through and purchase from merchants displaying a GOLD trust badge. Merchants rated SILVER or above see conversion rates approximately 40% higher than UNRATED merchants.

## 12.2 Case 2: B2B Supply Chain Trust Assessment

**Scenario**: A retailer evaluates the trustworthiness of potential new suppliers.

**Implementation**:

1. The procurement team provides a list of candidate supplier domains
2. OTR scores are queried in batch
3. Results are sorted by V dimension (identity verification) and G dimension (governance)
4. Suppliers rated GOLD or above are prioritized for outreach

**Value**: The initial screening phase of traditional supplier due diligence — which typically takes 2 to 4 weeks — is reduced to minutes.

## 12.3 Case 3: Brand Trust Monitoring

**Scenario**: A brand monitors the trust scores of all its domains and sub-brands over time.

**Implementation**:

1. A scheduled job queries OTR scores for all domains daily
2. Historical data is recorded
3. Automated alerts trigger when any score drops
4. A monthly trust health report is generated

**Typical alert scenarios**:

* An SSL certificate is about to expire, causing the V dimension to drop
* A DNS configuration is accidentally modified, causing the S dimension to drop
* A website redesign removes Schema.org markup, causing the D dimension to drop

## 12.4 Case 4: Competitive Analysis

**Scenario**: Analyzing the trust score distribution of competitors in the same industry.

```
Industry: Outdoor Sports Equipment
Competitors analyzed: 20 domains

Distribution:
PLATINUM: 1 (5%)
GOLD: 3 (15%)
SILVER: 5 (25%)
BRONZE: 6 (30%)
UNRATED: 5 (25%)

Key findings:
- Industry average score: 68 (upper BRONZE range)
- D dimension is universally low (most lack llms.txt)
- Leading brands differentiate primarily through V and G dimensions
```

***

**Next chapter**: [Reference](/en/book-2/ch13-reference) — Complete technical reference for the OTR protocol

**More case studies**: [Getting Started Cases](/en/book-1/ch8-case-studies) | [UCP Cases](/en/book-3/ch10-case-studies) | [MCP Cases](/en/book-5/ch10-case-studies)