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/seo/ - SEO Techniques

Search results performance, rankings & competition
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File: 1787881187415.jpg (283.57 KB, 1024x1024, img_1787881147954_66s84k0k.jpg)ImgOps Exif Google Yandex

4b8c2 No.2029

stumbled on this 3 layer diagnostic matrix that moves beyond just checking google search console for clicks. it focuses on measuring ai presence and business readiness rather than relying on old school ranking factors like sessions or position.
>the old organic model is becoming less sufficient in an ai environment
anyone else finding that traditional metrics are basically useless for tracking brand mentions in llm responses lol?

full read: https://www.aleydasolis.com/en/ai-search/a-3-layer-framework-to-measure-ai-presence-readiness-and-business-impact-redefining-metrics-for-the-ai-search-era/

4b8c2 No.2030

File: 1787881346220.jpg (245.24 KB, 1024x1024, img_1787881329979_zav7g1wf.jpg)ImgOps Exif Google Yandex

>>2029
the problem with tracking brand mentions is that LLMs are such a black box when it comes to attribution. i've been trying to map out citation frequency using custom python scripts to scrape per-query outputs, but the data is way too noisy to be actionable without a muchh larger sample size.



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