> ## 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.

# AI trust score as an AI-SEO performance metric

> How to measure AI-SEO effectiveness with trust scores — transitioning from traditional SEO metrics to a new measurement framework for AI.

# AI Trust Score as an AI-SEO Metric

## 11.1 The Limitations of Traditional SEO Metrics

Traditional SEO relies on the following metrics to measure effectiveness:

* Google ranking positions
* Organic search traffic
* Click-through rate (CTR)
* DA / PA (Domain Authority / Page Authority)
* Number of indexed pages

These metrics remain relevant, but they cannot measure the degree to which AI agents trust your website. A site ranked number one on Google may be completely overlooked by AI agents if it lacks structured data and AI discoverability configuration.

## 11.2 A New Metric Framework for AI-SEO

| Metric                         | What It Measures                                             | How to Obtain                      |
| ------------------------------ | ------------------------------------------------------------ | ---------------------------------- |
| **AI Trust Score**             | An AI agent's overall trust in your site                     | OTR query API or similar tools     |
| **Structured data coverage**   | Percentage of pages with Schema.org markup                   | Google Search Console              |
| **AI crawler volume**          | Visit frequency from AI crawlers (e.g., ChatGPT-User)        | Server log analysis                |
| **AI recommendation presence** | How often your brand/products appear in AI-generated answers | Manual testing or monitoring tools |
| **llms.txt completeness**      | Information coverage of your llms.txt content                | Self-audit                         |

## 11.3 Using Trust Scores to Track Optimization Progress

The core advantage of trust scores is that they are **quantifiable, comparable, and trackable**.

**Recommended tracking approach**:

1. Record the initial score (overall + per-dimension scores)
2. Re-query after each optimization
3. Log score changes weekly or monthly
4. Compare against competitors in your industry

### Common Score Change Patterns

| Action                                 | Expected Change                  | Time to Take Effect |
| -------------------------------------- | -------------------------------- | ------------------- |
| Enable DNSSEC                          | S dimension +3 to 5 points       | 24-48 hours         |
| Add DMARC                              | S dimension +2 to 3 points       | Immediate           |
| Add complete Schema.org Product markup | D dimension +5 to 8 points       | Next scan           |
| Create llms.txt                        | D dimension +3 to 5 points       | Next scan           |
| Register LEI                           | V + G dimensions +5 to 10 points | After GLEIF sync    |
| Rewrite privacy policy                 | T dimension +2 to 4 points       | Next scan           |

## 11.4 Competitive Benchmarking

Use AI trust scores for competitive analysis:

1. Query the trust scores of your main competitors
2. Compare per-dimension scores
3. Identify the dimensions where you are falling behind
4. Focus optimization efforts on the dimensions with the largest gaps

### AI Prompt: Competitive Trust Score Comparison

```
Please help me compare the AI trust scores of the following domains:
- My domain: [domain1]
- Competitor 1: [domain2]
- Competitor 2: [domain3]

Please query each domain's OTR trust score
(visit https://orbexa.io/api/otr/verify/[domain]),
then produce a comparison table including:
1. Overall score and badge level
2. Per-dimension (V/S/G/T/D) score comparison
3. Gap analysis between me and competitors
4. Improvement recommendations ranked by return on investment
```

## 11.5 Report Template

Generate a monthly AI-SEO report containing:

1. **Overall score trend** -- This month versus last month
2. **Per-dimension changes** -- Which dimensions improved, which declined
3. **Completed optimizations** -- What was done this month
4. **Next month's plan** -- What to work on next
5. **Competitive comparison** -- How the gap with competitors has changed

***

**Next chapter**: [Tools and Dashboard](/en/book-6/ch12-tools-dashboard) — The AI-SEO tool landscape and daily workflows