Insights
Practical notes and examples connected to AI in communications.
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Content teams are feeling a new version of an old anxiety: how will people find us? For years, it has been Google. Now it’s AI. The first round of advice to improve AI visibility was technical: schema, markup, knowledge graphs.
Tools change how people work. A doctor with a stethoscope can diagnose better than one without. That’s a useful way to think about AI. At Aylmer Anderson and Fear & Greed, we use AI every day.
AI writing creates several recurring problems. Drafts that sound more confident than the thinking behind them. Teams producing more versions than they can properly review.
It used to be easy to spot weak copy because the writing was a bit clunky and the structure was off. AI makes that harder because drafts can read perfectly well and still be wrong.
A few weeks back, we wrote that many AI writing problems are not really prompt problems. They are setup problems. That raises the next question: what does better setup look like in practice?
Most people have a pretty clear sense of what good writing looks like in their organisation. The standard exists and is maintained by experienced writers who have been applying it for years.
