/tech/ - Technical SEO

noticing a strange pattern with how search engines handle nested @graph structures lately. when the linked data becomes too deep, it seems to trigger an unreliable crawl behavior where secondary entities arent being parsed correctly. i checked the logs and found that the crawler was skipping nodes entirely if they were more than three levels deep. instead of flattening the data, i tried using a simplified application/ld+json approach with direct id references. its much more stable to keep the structure shallow and use the @id property for connections. moving away from complex hierarchies might be the only way to ensure proper indexing for large-scale datasets.