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AI Trust Score as an AI-SEO Metric

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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.

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11.2 A New Metric Framework for AI-SEO

MetricWhat It MeasuresHow to Obtain
AI Trust ScoreAn AI agent’s overall trust in your siteOTR query API or similar tools
Structured data coveragePercentage of pages with Schema.org markupGoogle Search Console
AI crawler volumeVisit frequency from AI crawlers (e.g., ChatGPT-User)Server log analysis
AI recommendation presenceHow often your brand/products appear in AI-generated answersManual testing or monitoring tools
llms.txt completenessInformation coverage of your llms.txt contentSelf-audit

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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

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Common Score Change Patterns

ActionExpected ChangeTime to Take Effect
Enable DNSSECS dimension +3 to 5 points24-48 hours
Add DMARCS dimension +2 to 3 pointsImmediate
Add complete Schema.org Product markupD dimension +5 to 8 pointsNext scan
Create llms.txtD dimension +3 to 5 pointsNext scan
Register LEIV + G dimensions +5 to 10 pointsAfter GLEIF sync
Rewrite privacy policyT dimension +2 to 4 pointsNext scan

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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

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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

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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 — The AI-SEO tool landscape and daily workflows