Generative Engine Optimisation (GEO) is the set of techniques used to increase the visibility and citation frequency of a brand or piece of content within responses generated by AI models — ChatGPT, Gemini, Claude, Perplexity, and their successors.
GEO is the natural evolution of SEO into the generative AI era. Where SEO optimises for position in a ranked list, GEO optimises for inclusion in a synthesised answer. A landmark 2024 study by researchers at Princeton, Georgia Tech, Allen Institute for AI, and IIT Delhi quantified its impact for the first time.
| Strategy | Description | Avg. lift |
|---|---|---|
| Authoritative statistics | Embed verified, sourced data points | +40% |
| Cited quotations | Quote credible experts or studies | +37% |
| Fluency optimisation | Clear, well-structured sentences | +30% |
| Keyword alignment | Match query phrasing patterns | +20% |
| Technical terms | Use domain-specific vocabulary | +18% |
| Unique content | Information not found elsewhere | +15% |
| Easy-to-understand | Simplify without losing accuracy | +12% |
| Factor | SEO | GEO |
|---|---|---|
| Optimises for | Crawler algorithms | Language model synthesis |
| Output | Ranked list position | Citation in generated answer |
| Key signals | Backlinks, keywords | Data density, fluency, authority |
| Time horizon | Weeks to months | Ongoing — models retrain periodically |
| Maturity | Mature | Nascent |