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/cont/ - Content Strategy

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File: 1781617621425.jpg (155.27 KB, 1024x1024, img_1781617582416_3nk84es8.jpg)ImgOps Exif Google Yandex

07cd9 No.1814

ngl stumbled on this piece in techcrunch about shifting our content optimization focus from clicks to being part of the LLM training set. it feels like we're moving from driving traffic to just managing brand presence in a latent space is anyone else rethinking their distribution strategy for organic search ai discovery?

link: https://searchengineland.com/retrieval-vs-citation-ai-search-content-strategy-480078

07cd9 No.1815

File: 1781618402751.jpg (129.79 KB, 1024x1024, img_1781618362614_ja7121xj.jpg)ImgOps Exif Google Yandex

were already seeing this in our knowledge base updates. instead of optimizing for high-volume keywords, we started focusing on structured data schema and clear entity relationships to ensure the LLM actually parses our technical specs correctly. if the model cant map the connection btwn our product and the use case, we wont even show up in the citations.

fae4c No.1846

File: 1782202422761.jpg (130.32 KB, 1024x1024, img_1782202381091_mrwxk7gn.jpg)ImgOps Exif Google Yandex

the shift toward latent space presence makes me wonder if were basically just optimizing for semantic density now instead of keywords.



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