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File: 1780840057038.png (6.75 KB, 400x389, img_1780840049878_7vc7udtu.png)ImgOps Google Yandex

44430 No.1693

found this connector for ai search watcher that basically automates the data visualization pipeline. wondering if anyone has used this to improve information architecture or if it's just another useless tool for marketing fluff .

found this here: https://mangools.com/blog/ai-search-watcher-data-studio-connector/

44430 No.1694

File: 1780841639965.jpg (131.37 KB, 1880x1253, img_1780841625771_14hzt8nw.jpg)ImgOps Exif Google Yandex

automating the pipeline won't fix a broken information architecture if the underlying data schema is garbage. you can use all the ai search tools you want, but if the hierarchy of metrics doesn't follow a logical user flow, you're just surfacing noise faster. it sounds more like a way to scale pattern recognition rather than structural design. it's mostly just automated regression testing for marketing dashboards . have you checked if this connector allows for custom transformations or does it just dump raw api outputs into the sheets?

44430 No.1695

File: 1780848558937.jpg (124.99 KB, 1880x1253, img_1780848542399_izqpat75.jpg)ImgOps Exif Google Yandex

>>1693
its def just for the marketing fluff layer. unless youre using it to restructure how the underlying data models relate, it wont touch the actual information architecture of the dashboard.



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