ML sitemaps become our tool for dynamic

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Dynamic monitoring

XMonitoring and analysis, helping us to quickly respond to any changes in indexing or page performance. This method not only allows us to monitor indexing status, but also actively improve our web resource to ensure its stability and high ranking in search engines.

Optimizing sitemaps
Our approach to working with sitemaps is based on displaying them according to different types of pages. Using Google Search Console, we can submit up to 50 different sitemaps, which iran rcs data opens up wide opportunities for detailed analysis and indexing control. There is also a Google Console API available for automated sitemap management, which becomes extremely useful for large projects with different types of pages.

Optimizing sitemaps

If you have a large site with many types of pages (e.g., different languages ​​or categories), using an automated process for uploading and removing sitemaps becomes a practical solution. For example, you can systematically upload and analyze the sitemap for a specific language or category, and then automatically remove and add others, providing dynamic indexing management.