05/02/2026
Why SEO thinking fails in an LLM world
SEO taught us to think in rankings.
LLMs force us to think in narratives.
That’s the shift most teams haven’t made yet.
For years, optimisation meant retrieval:
keywords, pages, positions.
That model assumed one thing:
people search, systems retrieve.
LLMs break that loop.
They don’t retrieve pages.
They assemble explanations.
By stitching together what appears consistent, credible,
and repeatedly reinforced across the internet.
Which leads to an uncomfortable reality:
You can rank well
and still be irrelevant in AI-generated answers.
Because AI isn’t asking:
“Who matches this keyword best?”
It’s asking:
“What explanation makes the most sense?”
SEO thinking optimises for being found.
LLM thinking optimises for being used.
That’s why GEO is emerging —
not as a replacement for SEO,
but as a response to a different responsibility:
What does the internet teach AI about your brand
when no one is searching for you directly?
If that signal is fragmented, vague, or inconsistent —
AI will reflect exactly that.
And it already is.
