GEO, Generative Engine Optimization, is the practice of getting cited and recommended by AI answer engines: ChatGPT, Perplexity, Google's AI surfaces. In plain English: making sure that when the machine writes the answer, you are in it.
Here is how those answers actually get assembled, the four things you can influence, and the part of GEO that is just SEO wearing a lanyard with a new name on it.
First, the acronym soup
| Acronym | Stands for | Difference |
|---|---|---|
| GEO | Generative Engine Optimization | None that matters. One discipline, four badges. |
| AEO | Answer Engine Optimization | |
| LLMO | Large Language Model Optimization | |
| AI SEO | What your boss calls it |
How a generative answer gets built
The two doors matter because they run on different clocks. Retrieval rewards pages the assistant can find and quote right now, which responds to work in weeks. Memory rewards brands that show up consistently across the web the models learn from, which moves in quarters.
The four levers you actually have
Retrievability. The assistant's search has to find you, which is SEO: crawlable pages, real rankings, indexable content. A page invisible to search is invisible to retrieval, full stop.
Quotability. Models quote what extracts cleanly: direct answers near the top, tables, specific numbers, clear structure. A page that buries its answer in paragraph nine loses to one that states it in sentence one.
Authority beyond your site. Assistants cross-check who else mentions you: reviews, communities, comparisons, coverage. Brand presence across trusted sources is what turns a citation into a recommendation.
Freshness. Retrieval leans toward current pages with visible dates and this year's numbers. Stale content loses citations it would have won in its prime.
What is genuinely new vs renamed
The honest split: most of GEO's foundation is SEO continuing to matter. Crawlability, authority, content quality, all of it transfers, and a site that ranks well starts the GEO race ahead.
The genuinely new layer is thinner but real: writing answer-shaped content on purpose, treating brand mentions across the web as a first-class asset, engineering for quotability, and measuring in prompts instead of positions, against a prompt set instead of a keyword list.
Which also defines the hype filter: anyone selling GEO as secret tricks unrelated to SEO fundamentals is selling the lanyard, not the discipline. The field is young, the answer surfaces change quarterly, and durable wins come from the boring levers above.
How you know it is working
Three gauges, in rising order of directness: your citations appearing in AI answers for your tracked prompts, assistant referral traffic arriving in your analytics, and the strongest one, being named unprompted in recommendation answers, the full journey the ChatGPT playbook walks through.
Expectations calibrated: citation wins can land within weeks of publishing quotable answers on retrievable pages. Recommendation-from-memory status is a reputation asset built over quarters. Both are worth having; only one is quick.
The one-line takeaway: GEO is getting into machine-written answers through two doors: retrieval, which rewards findable, quotable, fresh pages now, and memory, which rewards brands the web consistently vouches for. Most of it is SEO continued; the new part is writing for quotation and measuring in prompts.