How are people tracking AI search referrals now that source data is messy?
Looking for a durable way to separate AI Mode, ChatGPT, Perplexity, Claude, and classic organic visits without making the dashboard unreadable.
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First-hand questions and build notes from the marketing engineer edge.
I built a landing page QA agent that catches broken proof points before launch
A small agent checks claims, missing links, metadata, screenshots, and testimonials before a campaign page ships.
What scripts are worth keeping in a paid media operator's toolkit?
Trying to separate durable automation from the scripts that look clever once and then quietly rot.
Does your prompt library still matter once everyone has agents?
A debate about whether prompt libraries become training data, product specs, or just another abandoned workspace folder.