iaea.org AI Readiness Score
Industry: technology. 1 public scan on record.
Last scanned: today
Latest Score
April 3, 2026
Pages Scanned
12
Issues Found
8
Score Breakdown by Factor
| Factor | Weight | Score |
|---|---|---|
| Schema Markup | 18% | 0 |
| Content Quality | 20% | 59 |
| Bot Access | 20% | 80 |
| Topic Clarity | 10% | 100 |
| AI Protocols | 10% | 0 |
| Speed & Performance | 5% | 40 |
| Authority & Trust | 10% | 45 |
| Crawl Health | 7% |
Meta Tags
Homepage meta tag analysis (12 pages crawled)
International Atomic Energy Agency | Atoms for Peace and Development
68 chars — too long (aim for 30-60)
The IAEA is the world's centre for cooperation in the nuclear field, promoting the safe, secure and peaceful use of nuclear technology. It works in a wide range of areas including energy generation, health, food and agriculture and environmental protection.
262 chars — too long (aim for 120-160)
http://www.iaea.org/
AI Readiness Summary
iaea.org currently scores 51/100 (Grade C) for AI readiness, reflecting significant opportunities to improve how AI systems discover and represent this website. Its strongest area is Topic Clarity (100/100), while Schema Markup (0/100) represents the greatest opportunity for improvement. Within the technology industry, AI readiness is becoming a differentiator for organic visibility, making these scores increasingly important for competitive positioning.
Industry Comparison
iaea.org is 6 points below the technology industry average of 57/100, with room to catch up to sector peers. The global average across all industries is 59/100, which is 8 points higher than iaea.org's current score.
Peer Comparison
iaea.org currently trails the peer average of 99/100 by 48 points. Sites like quantummetric.com, geeksforgeeks.org, and thedigitalgroup.org demonstrate that higher scores are achievable in this category. The top-performing peer is quantummetric.com at 100/100.
Priority Improvements
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How This Score Compares
iaea.org
51
Grade C
technology Avg
57
6 pts below
Global Avg
59
8 pts below
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Scoring Methodology
How we calculate AI readiness scores across 8 factors
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