The Dual Preference Model
For decades, growth has depended on influencing people.
That hasn’t changed.
What has changed is how people arrive at decisions.
Discovery, comparison, and shortlisting are increasingly mediated by systems such as search engines, recommendation engines, and AI interfaces.
Which means brands now compete at two levels:
- Human preference.
- Machine preference.
If you win one and ignore the other, you leave growth on the table.
I’ve been thinking about this as a simple discipline:
- Are we compelling to people?
- Are we legible to the systems shaping their decisions?
This isn’t about chasing algorithms. It isn’t about technical SEO. It’s about structural clarity.
If a machine can’t confidently categorise and describe your business, you shrink your consideration set before preference even begins.
And if you’re visible but not distinctive, you convert poorly.
In an increasingly AI-mediated market, clarity compounds advantage, and ambiguity compounds risk.
This dual preference lens is starting to shape how I think about strategy and growth.
