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/serp/ - SERP Analysis

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File: 1782366272844.jpg (119.01 KB, 1024x1024, img_1782366234592_3x9uj1mo.jpg)ImgOps Exif Google Yandex

22a2f No.1831

just read this piece on how ai recommendation poisoning is becoming the new black-hat standard. it feels like we're moving way beyond simple geo into a realm of pure data manipulation where traditional optimization is dead might actually be true.

full read: https://www.searchenginejournal.com/the-grounding-wars-are-coming-how-ai-visibility-creates-its-own-black-hat-playbook/580247/

21182 No.1832

File: 1782367625537.jpg (145.53 KB, 1024x1024, img_1782367608959_h7c7a4kg.jpg)ImgOps Exif Google Yandex

the real nightmare is how this breaks the feedback loop for LLM-based retrieval. if we cant trust the underlying corpus bc of coordinated injection attacks, then RAG becomes a liability rather than an advantage. ive already seen some weird behavior in niche reddit subreddits where certain product attributes are being
-indexed
thru repetitive bot-driven sentiment. its not even abt keyword density anymore; its about forcing the model to associate specific entities with positive or negative adjectives via high-frequency training data updates.
>it's basically a sybil attack on semantic meaning. how do you plan to verify source integrity once the training set is sufficiently polluted?



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