Did some content strategy work for an AI agency recently: keyword research, competitor analysis, blog briefs.
The obvious play is targeting high-volume keywords. “AI implementation,” “LLM for business,” that kind of thing. So I started there, checking what’s actually ranking for those terms.
Most of it is generic: listicles, surface-level overviews, the same five points reshuffled. High volume, but weak content. The keyword is saturated, but the angle isn’t.
So what angle can we find?
Most companies searching ”how to implement AI” have already made the decision. They’re already looking into execution. But a lot of potential clients aren’t there yet, they’re stuck earlier on something more basic - and confusing - their data is a mess and they know it.
That’s a different search. Lower volume, and a better fit for what this agency actually does: helping companies get their infrastructure ready before jumping into AI projects.
Instead of fighting over ”AI implementation” with everyone else, position the content around the problem that comes before: ”Is my data ready for AI?”
Less traffic on paper. But the traffic you get is more qualified, and you’re not shouting into the same void as everyone else.
The best keyword isn’t always the biggest one.