# AEO, GEO, AIO: let us put things in order and be found by AI

> AEO, GEO and AIO are different labels for the same shift: from optimising for rankings to optimising for citations. What they mean and what changes in practical work.

**Published:** February 10, 2026  
**Author:** Simone Bussoni

## TL;DR

AEO (Answer Engine Optimization), GEO (Generative Engine Optimization) and AIO (AI Optimization) are different names for the same transition: moving from optimisation for a list of links to optimisation for being understood and cited inside an answer. The practical work changes little in technique and a lot in priority: first build a credible entity and citable content, then think about keywords. SEO is not dead, it has a new audience.

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Every few months a new acronym appears and someone announces the death of SEO. Let us put things in
order, because beneath the noise there is a real change. It is just not the clickbait version.

## The three acronyms, one line each

- **AEO, Answer Engine Optimization**: optimisation for answer engines, from direct answers to voice assistants. The unit is not the page, it is the answer.
- **GEO, Generative Engine Optimization**: optimisation for generative engines, such as ChatGPT, Perplexity and Google AI Overviews. The goal is to be the source the model chooses to cite.
- **AIO, AI Optimization**: the umbrella term that often overlaps with GEO.

Three acronyms, one direction: from ranking to citation.

## What really changes in the work

Less than the acronyms suggest in technique. Much more in priorities.

**1. Entity first, keywords second.** A generative engine cites sources it trusts. Trust starts with the entity: who you are, what you can prove you know, which verifiable sources connect to you. Coherent structured data, clean `sameAs`, a biography that matches everywhere.

**2. Citable content beats long content.** A model extracts clear claims, not cautious paragraphs. A TL;DR at the top, a precise thesis, concrete examples. If your article can only be summarised by betraying it, it will not be summarised. It will be skipped.

**3. Structure matters more than before.** Question-shaped headings, a direct answer in the first paragraph, lists and tables where they help. Not to please the algorithm, but to make the content extractable without ambiguity.

**4. Measure where you appear, not only where you rank.** The new metric is not average position. It is how often you are cited, and in which context, inside generative answers. Tools are coming; in the meantime you can still check manually by asking models real questions.

## What does not change

Technical SEO remains hygiene: sitemaps, performance, crawlability, canonical tags. Necessary, never sufficient. Content still has to serve a person, because AI systems are trained on text written for humans, not for algorithms.

## The summary I use

SEO is not dying: it is changing audience. I used to optimise for an engine that returned ten links. Today I also optimise for a system that returns an answer and decides whether my name belongs in it. The real work is the same as ever: build a credible entity and say clear things. It simply matters more now.

If you want the broader frame, [it is the core of my SEO & AI Search pillar](/en/topics/seo-ai-search/).