Direct answer: SEO optimizes your site to rank in traditional search. AEO (Answer Engine Optimization) optimizes your page to be the answer provided by engines like ChatGPT and AI Overviews. GEO (Generative Engine Optimization) optimizes for your brand to be cited by generative AIs. AEO and GEO are extensions of SEO — not substitutes.
If you searched "AEO vs GEO vs SEO" in Portuguese, you probably mostly found material in English — and in Portuguese, many selling the three acronyms as if they were rival disciplines. They are not. This guide by the XMACNA Team explains what each means, where they overlap, what Google officially says on the subject — and what is just new labeling of old practices.
What are SEO, AEO, and GEO?
SEO (Search Engine Optimization) is the classic discipline: making your site found, crawled, indexed, and well-positioned in traditional search. Useful content, clean architecture, authority, performance. It has existed for over 25 years and remains the foundation of everything.
AEO (Answer Engine Optimization) is optimization for answer engines — systems that don't return 10blue links but a ready-made answer: AI Overviews and Google’s AI Mode, ChatGPT, Perplexity, Gemini. The goal of AEO is for your content to be the source of that answer. In practice: direct answers at the top of the page, question-formatted titles, extractable content, verifiable data.
GEO (Generative Engine Optimization) is the term used in the literature for optimization specifically aimed at generative AIs — making LLMs cite and recommend your brand when generating text. An important disambiguation notice: GEO here has nothing to do with geolocation. It’s not "local SEO," it’s not Google Maps. It is Generative Engine Optimization.
In market practice, AEO and GEO overlap so much that many professionals use the terms as synonyms. The most useful distinction: AEO aims to be the answer (any answer engine), GEO aims to be cited in generation (LLMs). Tactics are almost the same.
What’s the difference between AEO, GEO, and SEO, side by side?
| SEO | AEO | GEO | |
|---|---|---|---|
| Optimizes for | Ranking in traditional search | Being the answer in answer engines | Being cited by generative AIs |
| Where it appears | Google/Bing results pages | AI Overviews, AI Mode, answer boxes | ChatGPT, Perplexity, Gemini, Claude |
| Typical metric | Position, clicks, impressions | Presence in the answer, AI impressions | Brand citations and mentions |
| Technical base | Crawlability, indexing, authority | Same + extractable content | Same + consistent entity |
| Maturity | 25Over years, consolidated metrics | Emerging, partial measurement | Emerging, unstable measurement |
Notice the "technical base" line: it’s the same foundation in all three columns. A site AI cannot read does not appear anywhere — and this is no theory. When we ran our AEO X-Ray on our own group’s sites before offering it to the market, we found a site with an active blog that served 0 characters of text in the raw HTML — all content only existed after JavaScript execution. For many AI crawlers, that site was a blank page. No GEO tactics solve this; it’s foundation.
Do AEO and GEO replace SEO?
No — and anyone claiming otherwise is selling something. The most honest market position came as a provocation: "GEO is still SEO" ("GEO is still SEO"). Google’s own official AI in search guide confirms this logic: Google’s AI features rely on the same traditional ranking signals — useful content made for people, E-E-A-T (experience, expertise, authority, trust), and healthy indexing.
Think in layers:
- Foundation (SEO): the site is crawlable, indexed, fast, with reliable content. Without this, nothing above works.
- Format (AEO): content answers questions directly and extractably — answer at the top, headings as questions, FAQ, sourced data.
- Entity (GEO): the brand is consistent and referenced outside the site — mentions, reviews, presence in sources AI reads.
Who skips the 1layer to "do GEO" is painting a building’s facade without foundation.
What does Google officially say about optimizing for AI?
Here is the filter that separates serious consulting from trick selling. Google’s official guide for appearing in AI search features (the AI features optimization guide, in Google Search Central documentation) says, in summary:
- There is no magic schema or special technical requirement to appear in AI Overviews or AI Mode. Google states there is no markup or file that "unlocks" AI.
- llms.txt is not a factor. Google representatives (John Mueller and Gary Illyes, in July 2025) publicly said Google does not use this file. We did a deep dive in is llms.txt worth it?
- What matters is the usual: people-first content, E-E-A-T, indexable and useful page.
And for engines outside Google (ChatGPT, Perplexity)? There is no official full guide, and all specific tactics must be treated as what they are: third-party research — community observations, not confirmed factors. We label it this way in all our materials and recommend skepticism toward anyone who doesn’t.
Where to start in practice?
The order we apply to our own sites and recommend:
- Audit the foundation. Does your content exist in raw HTML? Does your domain resolve without broken redirects? Are your pages indexed? It’s what the AEO X-Ray first checks — with HTML served evidence, not opinion.
- Adjust the format. Direct answer at the top, headings as questions, FAQ, attributed data. It’s the guide of how to make your company appear on ChatGPT and of how to appear on Google AI.
- Measure before optimizing. Record your baseline: test if your brand already appears on ChatGPT and set up AI traffic tracking in GA4.
A data point to calibrate expectations: in the xmacna.ai Search Console, in the 29/05 to 07/06/2026 window, 100% of blog search traffic was informational — people researching to learn, not buy — while the commercial base of the site was still maturing in the index. That’s how it begins for almost everyone: first you become an answer source, then a recommendation. Anyone promising otherwise in 30 days is making it up.
If you want to know which layer your site is stuck at, the AEO X-Ray assesses this with page-by-page evidence — and if you prefer to talk first, call Hermes, our Digital Employee, directly on WhatsApp: wa.me/553195829348. For those needing a complete AI plan beyond visibility, the path is the XMACNA AI consulting.
In summary
- SEO = being found in search. AEO = being the answer. GEO = being cited by generative AI. All three share the same foundation.
- GEO is not geolocation — it is Generative Engine Optimization.
- AEO and GEO do not replace SEO; they are extensions. "GEO is still SEO."
- The Google officially confirms: no magic schema, no llms.txt factor — content people-first, E-E-A-T, and indexing matter.
- Tactics for ChatGPT/Perplexity = third-party research, always labeled. Honesty here is the criterion for choosing a provider.
- Start with the foundation, then format, then entity — and record the baseline before optimizing.
Frequently asked questions
Are AEO and GEO the same thing?
Almost. The tactics overlap by about 90%: extractable content, direct answers, consistent entity, attributed data. The conceptual distinction is the target — AEO aims to be the answer in any answer engine; GEO aims to be cited by generative AIs. Day-to-day, treat them as one discipline built on SEO.
Do I need to abandon SEO to invest in AEO/GEO?
No — that would be a mistake. Google's AI systems rely on traditional ranking, according to Google's official guide. And ChatGPT and Perplexity use search indexes as the basis for answers. A poorly indexed site does not appear in any AI. AEO/GEO is what you build on top of SEO, never instead of it.
Is GEO related to geolocation?
No. In this context, GEO stands for Generative Engine Optimization — optimization for generative engines (AIs that generate text, like ChatGPT and Gemini). It has no connection to local SEO, Google Maps, or geographic targeting. The acronym coincidence causes confusion, so we always write it out in full on first mention.
How long until my company appears in AI responses?
No one can promise a timeframe — be wary of anyone who does. AI engines update indexes and models in cycles we don't control, and responses vary between sessions. What you can control: be readable, indexed, citable, and referenced. The rest is a consequence with uncertain timing — our recommendation is to measure monthly from a recorded baseline.
XMACNA designs, creates, and operates Digital Employees — and applies on our own site, with public data from Search Console, the AI visibility methodology audited in the AEO X-ray.