GEO is not just SEO with a new name, but it is not a separate discipline either. Generative engine optimisation shares real DNA with search engine optimisation, and then diverges on the things that decide whether an AI model names your brand. If you treat it as identical to SEO, you will over-invest in on-page work that barely moves AI answers. If you treat it as wholly new, you will throw away fundamentals that still matter. Here is the straight version. For the definitions, SEO, AEO and GEO compared sorts the terms out.
The difference in one table.
| SEO | GEO | |
|---|---|---|
| Goal | Rank a link a person clicks | Be named inside an AI answer |
| Main lever | Your own pages | Third-party mentions and community |
| Metric | Rank and clicks | Share of recommendation and citations |
| Volatility | Moves slowly | Moves week to week |
That shift, from your pages to your reputation, is why the levers change. AI visibility correlates most with third-party mentions and video, not on-page work (Ahrefs), and 62 per cent of AI citations never even name the brand (Semrush).
The demand for the new discipline is real, not hype.
Monthly searches (US)
Search demand for AI optimisation terms (US)
What they share
The fundamentals still apply. Crawlable, well-structured pages, clear information, credible content and a healthy backlink profile all help both. AI answer engines read the same web that classic search indexes, so being findable and trustworthy in traditional terms is table stakes. If your site cannot be crawled, or says nothing clearly, neither channel works.
Where they diverge
The goal is different, and that changes the levers. SEO aims to rank a page in a list of links a person then chooses from. GEO aims to get your brand named inside a synthesised answer, often with no click at all. That shifts weight away from your own page and towards what the wider web says about you. AI visibility correlates most with third-party mentions and video, not on-page factors, per Ahrefs. And the sources are different: community and consensus content dominate, with Reddit at 40.1 per cent of citations in one Semrush study.
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The measurement changes too
SEO gives you rankings and clicks you can track. GEO gives you named mentions and citations that often carry no link, and 62 per cent of AI citations never even name the brand, per the ghost citations study. You measure a set of buyer questions across several models over time, not keyword positions. The metric is share of recommendation, not rank.
The volatility changes too
SEO rankings move, but slowly enough to plan around. AI answers move fast and often. The same query can return a different brand list on the same day, and citation shares swing week to week. That makes GEO feel less like a fixed scoreboard and more like a reputation you maintain.
So what should you actually do
Keep the SEO fundamentals, because they are the floor. Then add the GEO-specific work on top: earn third-party mentions, build genuine presence in the communities and comparisons models cite, structure content to be quoted, and measure named mentions across models. Do not stop doing SEO. Do not assume it is enough. How to get cited by AI and does GEO actually work cover the practical side.
The straight answer
GEO is SEO's close relative, not its twin and not a stranger. Same foundations, different goal, different levers at the top, different metrics. Call it what you like. The work that actually moves AI answers is mostly the reputation and community work that classic SEO underweights.
