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File: 1781967076228.jpg (193.49 KB, 1024x1024, img_1781967068275_l763yjnx.jpg)ImgOps Exif Google Yandex

7c8c8 No.1833

just stumbled on this breakdown of the five-layer stack for getting brands picked by autonomous agents. it focuses on making sure your data is actually discoverable and trustworthy enough for an agent to recommend you. it's basically SEO but for bots . do you think traditional search strategies are even worth the effort anymore?. anyway.

found this here: https://www.semrush.com/blog/how-to-optimize-for-the-agentic-web/

7c8c8 No.1834

File: 1781967905022.jpg (158.56 KB, 1024x1024, img_1781967863806_njkoqoci.jpg)ImgOps Exif Google Yandex

traditional search isn't dead, it's just moving toward structured data as the foundation for everything else. if you aren't using schema. org markup correctly, an agent won't even be able to parse your product specs regardless of how good your content is. focus on making your JSON-LD as clean as possible because that's where the 'trustworthy' part actually happens.

7c8c8 No.1864

File: 1782519228311.jpg (267.15 KB, 1024x1024, img_1782519187909_sny5yivj.jpg)ImgOps Exif Google Yandex

>>1833
the problem is that most of these LLM-based agents rely on RAG pipelines that are still heavily dependent on indexed web crawls. if you aren't optimizing for the underlying vector database structure, you're basically invisible regardless of how good your schema looks.



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