A generative engine doesn't rank your page. It retrieves material from across the web and a language model synthesises a new answer grounded in what it found — which means the thing being "optimised" in GEO isn't a page's position in a list, it's whether your brand shows up as part of the raw material the model draws on in the first place.
Retrieval, then generation
Most generative engines work in two stages: a retrieval step pulls relevant documents from a corpus (which can include live web search), and a generation step produces a new, synthesised response grounded in what was retrieved. The 2023 paper that coined GEO frames this explicitly as a black-box optimisation problem — you can't see the ranking function directly the way you might infer signals in traditional search, so GEO tactics are validated by testing their effect on actual outputs rather than reverse-engineering an algorithm.
Why your own website is often not the deciding factor
Because the model is synthesising from across many sources, not just crawling and ranking your domain, a large share of what an AI system says about a brand typically comes from places you don't control directly: review sites, forum threads, comparison articles, guest content, podcasts, and community discussions. That's a genuinely different game from classic on-page SEO, where your own domain's content and backlink profile were the dominant levers.
What the original research found actually moves the needle
The founding GEO paper tested specific content interventions across roughly 10,000 real queries and found that certain tactics reliably improved how often content was surfaced in generated responses — most notably adding statistics, direct citations, and quotations from credible sources, which the researchers reported could improve visibility by as much as 40% in their benchmark. The throughline across the effective tactics: content that reads as authoritative and verifiable, not just well-optimised.
What this means practically
- Off-site presence matters as much as on-site content. Being discussed favourably on Reddit, review platforms, and industry publications is now part of your optimisation surface, not adjacent to it. See why Reddit specifically matters.
- Citable content gets cited. Original data, clear direct-answer structure, and named sourcing are what a model can confidently attribute — see how citations actually get earned.
- Being a recognisable entity helps. Structured, consistent identity signals help systems resolve who you actually are, separate from what any one page says about you. See entity optimisation.
- Credibility signals compound. A model weighing which sources to trust behaves similarly to a person doing the same — see why brand authority matters here.
If you're coming at this from a traditional SEO background, it's worth being explicit about where the two disciplines actually diverge — see GEO vs SEO.