Most of us already use AI tools for writing. Drafting, editing, brainstorming. But analytics is where AI earns its keep, because the work of looking at three to six months of LinkedIn data, Substack stats, and Instagram insights is exactly the kind of work that saves humans time and its what pattern-matching machines are good at.
The catch is that AI is only as useful as what you feed it. Dump a screenshot of your dashboard and ask “what do you see,” and you’ll get something that sounds smart and says nothing. Pull the right data, ask the right questions, and you can find the the patterns that should be shaping your next quarter.
Here’s how I do it.
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