What Is GEO (Generative Engine Optimisation) and Why It's the Next Big Thing
GEO, generative engine optimisation, is the newer discipline sitting alongside SEO, focused on how a business shows up not in a list of blue links, but inside an AI-generated answer.
How it's different from traditional SEO
Traditional SEO vs. GEO
Traditional SEO
- Optimises for ranking position on a results page a human scans
- Success is measured by clicks through to the website
- Goal: rank as high as possible in the list
GEO
- Optimises for being included or recommended inside an AI-generated answer
- Often no click happens at all: the answer is the whole interaction
- Goal: be the source the AI actually uses
Traditional SEO optimises for ranking position in a results page a human scans through. GEO optimises for being included, referenced, or recommended when an AI tool synthesises an answer, often without the user clicking through to any website at all. The goal shifts from "rank #1" to "be the source the AI uses."
Why this matters for local businesses specifically
- Local searches increasingly get answered directly inside AI Overviews without a click
- Voice assistants and AI chat tools are being used more for "find me a [trade] near me" queries
- Being the cited source in an AI answer is arguably more valuable than a lower organic ranking, since it's presented as a direct recommendation
What helps
Much of it overlaps with strong local SEO: accurate structured data, clear factual content, genuine reviews. But GEO also rewards content structured for extraction: clear headings, direct answers to specific questions, and information an AI system can lift cleanly rather than infer from vague marketing copy.
This is still an emerging area, and the businesses paying attention now have a real head start over the ones who'll only start caring once it's mainstream.
Related reading what is AEO, will AI search replace Google and what is llms.txt.
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