GEO vs SEO: what actually changes when AI is the reader
Spoiler: crawlers are simultaneously dumber and smarter than you think. I hate it here.
Everyone’s writing “GEO vs SEO” posts right now and most of them are wrong in the same way.
They’re comparing tactics when the real difference is the reader model.
SEO: optimizing for a signal extractor
Traditional search engines extract signals. Title tag, H1, anchor text, domain authority. The crawler doesn’t understand your page — it indexes signals from your page.
You optimize for signal quality.
GEO: optimizing for a language model
AI crawlers don’t extract signals. They read. They form a representation of what your page is about — including your implied authority, your specificity, whether your claims are coherent.
You can’t fake structural relevance anymore. The reader is too good.
What actually changes
Headings still matter, but for comprehension not just hierarchy signals.
Internal linking still matters, but now it signals topical depth to something that can actually follow the connections.
Specificity beats volume. A page that answers one question precisely outperforms a page that vaguely covers ten.
Citations matter. AI systems are trained to weight sourced claims. “According to X” is a GEO optimization.
The uncomfortable part
The best GEO content is just… good content. Which means most SEO shortcuts don’t port over.
I’m still figuring this out in real time. There are no case studies yet because the tools are too new. Anyone claiming certainty is selling something.
More on this as I run actual experiments. The signal-to-noise ratio in GEO discourse right now is terrible and I refuse to add to it without data.