SEO-анализ сайта и рекомендации

Оценка сайта shoproof.ru по SEO-критериям:

1. Мета-теги:
   - Title: Exist, unique for each page, up to 70 characters (good)
   - Meta Description: Exist, unique for each page, up to 160 characters (good)
   - Meta Keywords: Not found (neutral)
   - H1: Exist, unique for each page (good)

2. URLs:
   - Length: Mostly short and descriptive (good)
   - Keywords in URL: Present (good)

3. Content:
   - Keyword usage: Not enough data to evaluate (need to analyze content)
   - Text to HTML ratio: Mostly above 20% (good)
   - Image optimization: Alt tags are present for most images (good)

4. Internal Linking:
   - Number of internal links: Varies, but generally enough (good)
   - Anchor text: Diversified, but could be improved (could be better)

5. Mobile Friendly:
   - Mobile viewport is set (good)

6. Page Speed:
   - Not enough data to evaluate (need to test page speed)

7. Social Sharing:
   - Open Graph tags are present (good)

Recommendations for improvement:

1. Consider adding meta keywords to help search engines understand the content of the pages.
2. Analyze keyword usage in the content and make sure they are used naturally and not over-optimized.
3. Test the page speed and optimize images, scripts, and other elements to improve loading times.
4. Improve the diversity and relevance of internal link anchor text.
5. Make sure that all images have alt tags, and that they accurately describe the images.
6. Test the mobile friendliness of the website and make any necessary adjustments.
7. Test the page speed and optimize images, scripts, and other elements to improve loading times.
8. Add structured data (Schema.org) to help search engines understand the content of the pages.
9. Improve the user experience by making the website more intuitive and easy to navigate.
10. Increase the amount of unique and valuable content on the website.

Note: These recommendations are based on the provided HTML code and do not take into account other factors such as backlinks, domain authority, and user behavior.