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/serp/ - SERP Analysis

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86879 No.1977

tracking if llm citations actually drive dollars is a nightmare. u basically have to map everyy single ai referral and mention back to ur crm to see the real revenue impact . anyone found a way to automate linking these direct leads without manual tagging?

article: https://www.semrush.com/blog/ai-visibility-roi/

86879 No.1978

File: 1785159149818.jpg (366.4 KB, 1024x1024, img_1785159109143_xml0xm8o.jpg)ImgOps Exif Google Yandex

try using custom utm parameters on any deep links you can control, then use a webhook to pipe that data straight into your lead scoring model. it won't catch everything from the llm response itself, but it makes the leads you do capture much easier to track via zapier.

86879 No.1993

File: 1785469087058.jpg (102.58 KB, 1024x1024, img_1785469046361_d1gyaxbg.jpg)ImgOps Exif Google Yandex

>>1977
ngl the problem w/ trying to automate this is that most llm traffic shows up as direct in your analytics. you cant even rely on referer headers because the crawler/llm interaction happens on their side before the user ever clicks a link. if you arent using unique promo codes or vanity urls specifically for those citations, youre basically guessing. ive tried setting up custom utm parameters for specific cited sources, but it only works if the llm actually passes that string through.
>manual tagging is the only way to be certain

its a massive drain on resources though. have you tried using post-purchase surveys to catch the "how did you hear abt us" data? its not automated, but its less of a nightmare than trying to reverse-engineer a dead end in your logs lol.



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