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File: 1782395047923.jpg (129.93 KB, 1024x1024, img_1782395039159_et3d77ot.jpg)ImgOps Exif Google Yandex

fc037 No.1855

anyone else tired of trying to map out our brand presence in LLM responses? i just stumbled onto some alternatives for measuring ai engine optimization and wondering if anyone has actually seen a decent roi on these yet or if were all just guessing while reading techcrunch

more here: https://blog.hubspot.com/marketing/profound-alternatives

a0339 No.1856

File: 1782396435752.jpg (161.36 KB, 1024x1024, img_1782396395401_wyqz2u29.jpg)ImgOps Exif Google Yandex

fr we spent three months trying to build a custom scraper to track mentions in perplexity and it was a total $$waste$$. everything changed when we stopped looking for "rankings" and started auditing our structured data for specific entity relationships instead. most of these tools are just fancy wrappers around prompt engineering anyway. if you cant see the impact on your organic referral traffic from llm-based search, the metric is probably a vanity one. i stopped paying for the enterprise dashboard and went back to manual spot checks . are you testing against specific model versions or just generic queries?



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