Clairvoyant buying intent

We built a product to help brands get discovered in AI-generated answers. So naturally, we had to ask ourselves: is Clearscope actually showing up in those answers? Spoiler: not as much as we wanted. So we designed an experiment to change that. And we're documenting every step, every data point, and every result. Including the ones that don't go our way. Here's the core question we're testing: If you identify the specific web searches AI platforms use to construct their answers, and publish content that directly targets those searches... does your brand mention rate actually go up? We're calling it the AEO Tells All experiment. We're using our own Prompt Tracking feature to run it. And we're sharing everything: the methodology, the fan-out data, the content strategy, the before/after numbers. We're over talking in theories and guessing games. This will be real data from a real test on a real brand (ours). Full writeup is live. Link in comments. #AEO #ContentMarketing #AISearch #AnswerEngineOptimization #GEO

I recently published a new article on 𝗠𝗲𝗱𝗶𝘂𝗺 highlighting a small but powerful data engineering practice that helps build more robust and failure-resistant pipelines. The article focuses on using 𝗜𝗙 𝗘𝗫𝗜𝗦𝗧𝗦 and 𝗜𝗙 𝗡𝗢𝗧 𝗘𝗫𝗜𝗦𝗧𝗦 in table 𝗰𝗿𝗲𝗮𝘁𝗶𝗼𝗻 and 𝗮𝗹𝘁𝗲𝗿𝗮𝘁𝗶𝗼𝗻 to avoid unintended data loss and pipeline failures. If you're working with data pipelines or handling production data, this is something you definitely shouldn’t ignore. Would love to hear your thoughts and experiences on this! Link : https://lnkd.in/giv3Xisb #DataEngineering #SQL #Databases #ETL #BestPractices