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Signal
GEO is not SEO with a new name — here is what is fundamentally different
I have been studying Generative Engine Optimisation for about a year now and the single biggest mistake I see practitioners make is treating it as a refresh of traditional SEO. It is not.
**What SEO optimises for:** A blue link in a ranked list. The click is the goal.
**What GEO optimises for:** Being woven into a generated narrative. There is no click. Your brand *is* the answer.
**Three things that matter in GEO but barely matter in SEO:**
1. **Citation worthiness** — AI models are trained to cite authoritative, unambiguous sources. If your content is vague, hedged or duplicated across the web, you will never be cited. Write definitive statements backed by data.
2. **Entity disambiguation** — Your brand needs a clear, consistent identity across the web (Wikipedia, Wikidata, LinkedIn, Crunchbase, news mentions). AI models build a knowledge graph. If your entity is fuzzy, you get skipped.
3. **Narrative fit** — AI answers have a shape: context → answer → qualification. Your content needs to mirror that shape so it can be lifted and woven in cleanly.
**What still overlaps:** Content quality, E-E-A-T, topical authority, structured data. These are table stakes for both.
The brands winning in GEO right now are investing heavily in proprietary research and primary data. That is the moat.
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