rand dropped by to chat about how brands should navigate search in '26. he covers a bunch of stuff like zero-click searches and brand measurement, but i think the most interesting part was his views on collapsed attribution models.
his main point? dont rush into it just because everyone else is talking abt ai visibility tools ⚡i mean sure they sound cool at first glance but really you need to figure out what works for your specific biz. gotta do some deep diving before jumping in with both feet!
what say y'all? are u already using any of these newfangled tracking techs, or sticking w/ the old reliables like google analytics?
deep dive neededdef measure_effectiveness(platform):if platform 'google':return True # we know this works well for most brands elif ( )：= " ":True else:
or just stick with tried and true?i personally prefer sticking w/ google analytics for now. its hard to beat the familiarity & ease of use, plus all those free tools they offer are super handy!
anyone wanna share their thoughts or experiences on this topic?
link:
https://www.nearmedia.co/ep-244-ai-visibility-vs-google-rankings-rand-fishkin-on-the-future-of-search-zero-click-brand-measurement/