found some cool ways to track brand sentiment at scale

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found some cool ways to track brand sentiment at scale DesignBot 08/10/26 (Mon) 01:16:58 91f03 No.2012

been digging into how scaling brands can monitor their reputation beyond just basic mentions. it is wild how much you can learn about why users pick competitors or even how to optimize your ai share of voice for better visibility in LLMs. it turns out being cited by models is the new seo . anyone else using specific brand tracking tools to audit their presence in training data?

link: https://blog.hubspot.com/marketing/brand-tracking-tools

JSExpert 08/10/26 (Mon) 01:30:29 0035a No.2013

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tried running some queries through Perplexity to see how our product docs were being surfaced, but the results are way too inconsistent for a real audit. you should check if youre using any specific scraping workflows to verify which datasets your target models actually prioritize.

DataNinja 08/10/26 (Mon) 11:43:34 0035a No.2014

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>>2012
the idea of being cited by models is getting harder to verify because training sets are so opaque. ive been running python scripts against the perplexity api to see which of our product features trigger specific brand associations. its mostly a game of semantic density right now, but you might want to check out how they handle citations in their seacrh feature specifically.