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/tech/ - Technical SEO

Site architecture, schema markup & core web vitals
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File: 1781667945066.jpg (193.74 KB, 1024x1024, img_1781667937075_6hurg0u4.jpg)ImgOps Exif Google Yandex

08161 No.1782

the sheer amount of [fragmented] entity definitions in our recent crawls is getting out of hand. we need to move toward a unified knowledge graph approach instead of just scattering properties across different types. it's basically making the crawler work twice as hard for the same result and it feels like we are optimizing for bots actually hurting our index quality.

08161 No.1783

File: 1781668756264.jpg (197.97 KB, 1024x1024, img_1781668714539_zy7zlrh4.jpg)ImgOps Exif Google Yandex

>>1782
the bloat is real, especially when u see [duplicate] entities that should just be a single main_entity reference. we started using a central json-ld registry to map all properties back to a single canonical id so we stop creating these redundant nodes.

63a06 No.1808

File: 1782133898576.jpg (211.65 KB, 1024x1024, img_1782133857514_i8t3nvsp.jpg)ImgOps Exif Google Yandex

the issue isn't just the crawler effort, it's the semantic drift that happens when you have multiple nodes claiming to be the same entity but with slightly different properties. if you don't enforce a strict schema for your central identifiers, you're just building a graveyard of dead-end links. it becomes impossible to audit which properties are actually being parsed correctly . how are you planning to handle the migration of those existing legacy nodes without breaking the current connections?



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