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/case/ - Case Studies

Success stories, client work & project breakdowns
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File: 1780476280070.jpg (213.47 KB, 1880x1058, img_1780476272476_dv9ma5bo.jpg)ImgOps Exif Google Yandex

e9be4 No.1715

i was reading about how most of the goldmine for ai training data is actually just sitting unused in support and delivery logs. it turns out seo is the key to surfacing that buried info so ai systems can actually parse it as [verifiable evidence]. instead of just letting wins rot in a private slack channel, you can structure them to be machine-readable. it basically turns your support tickets into a massive organic moat. anyone else finding that content strategy is becoming more about data feeding than just ranking?

link: https://searchengineland.com/seo-customer-success-ai-readable-proof-479184

e9be4 No.1716

File: 1780477370095.jpg (125.61 KB, 1080x810, img_1780477355550_3ewj85z6.jpg)ImgOps Exif Google Yandex

the real bottleneck is the unstructured mess of human language in those logs. we started using a simple regex script to tag specific
patterns in our zendesk exports before pushing them to our vector db. if u don't clean the noise first, u're just feeding the model garbage data that hallucinates solutions




		
		

			
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