lamoda.ru AI Readiness Score
Industry: technology. 1 public scan on record.
Last scanned: today
Latest Score
April 3, 2026
Pages Scanned
11
Issues Found
7
Score Breakdown by Factor
| Factor | Weight | Score |
|---|---|---|
| Schema Markup | 18% | 61 |
| Content Quality | 20% | 33 |
| Bot Access | 20% | 100 |
| Topic Clarity | 10% | 50 |
| AI Protocols | 10% | 0 |
| Speed & Performance | 5% | 15 |
| Authority & Trust | 10% | 60 |
| Crawl Health | 7% |
Meta Tags
Homepage meta tag analysis (11 pages crawled)
Интернет магазин одежды и обуви. Купить обувь, одежду, аксессуары в онлайн магазине Lamoda
90 chars — too long (aim for 30-60)
В интернет-магазине одежды и обуви Lamoda Вас ждут тысячи моделей модной брендовой женской, мужской и детской обуви и одежды разных размеров! Профессиональная команда стилистов интернет-магазина отбирает по всему миру самые последние новинки обуви и одежды с учетом трендов индустрии моды!
289 chars — too long (aim for 120-160)
https://www.lamoda.ru/
AI Readiness Summary
lamoda.ru achieves a moderate AI readiness score of 59/100 (Grade C+), indicating a foundation that can be meaningfully improved with targeted optimizations. Its strongest area is Bot Access (100/100), while AI Protocols (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
lamoda.ru is 2 points above the technology industry average of 57/100, slightly ahead of its sector peers. This score matches the global average of 59/100 across all industries.
Peer Comparison
lamoda.ru currently trails the peer average of 100/100 by 41 points. Sites like leadsquared.com, quantummetric.com, and geeksforgeeks.org demonstrate that higher scores are achievable in this category. The top-performing peer is leadsquared.com at 100/100.
Priority Improvements
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How This Score Compares
lamoda.ru
59
Grade C+
technology Avg
57
2 pts above
Global Avg
59
At average
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Scoring Methodology
How we calculate AI readiness scores across 8 factors
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