Generative Engine Optimization isn't just SEO with a coat of paint. Here's the real shift in how content earns visibility when LLMs decide what gets cited.
The marketing industry loves renaming existing practices. So when “GEO” — Generative Engine Optimisation — started appearing in agency decks, it’s understandable that practitioners pushed back. Is this just SEO with a new acronym? Partially. But the differences that matter are real enough to change your strategy.
What stays the same
Authority signals still matter. A brand that has earned links from credible sources, accumulated mentions across the web, and built genuine topical depth is better positioned in AI systems than one that hasn’t. Quality content still wins.
What actually changes
The ranking unit shifts from page to passage. In traditional SEO, you optimise a page to rank for a set of queries. In GEO, individual passages within a page get extracted and cited independently.
The competition set expands dramatically. Your AI citation competitors include every piece of content an LLM was trained on, plus everything in its retrieval corpus.
Measurement is harder and different. Measuring GEO performance requires prompt testing, share-of-voice tracking in AI responses, and branded search volume as a proxy for citation-driven awareness.
The honest framing
GEO is not a replacement for SEO — it’s an extension of it. The tactics differ; the principles don’t.