SEO wins rankings in search results. AEO wins the single direct answer, such as a featured snippet or a voice reply. GEO wins mentions and citations inside answers written by ChatGPT, Gemini, Perplexity and Google's AI Overviews. All three rest on crawlable, indexed, trusted pages, so fix SEO first and add the other two on top.
The verdict: which one should you work on?
GEO and AEO aren’t replacements for SEO. They’re different scoreboards for mostly the same work, and each adds a handful of tasks of its own. Here’s how we’d decide:
- Work on SEO first if your important pages aren’t indexed, don’t reach page one for anything that matters, or load slowly. Every AI engine we test pulls pages from a search index or crawler before it writes, so it inherits whatever is broken.
- Add AEO when you already rank and want to own the direct answer: the featured snippet, the People Also Ask box, the line a voice assistant reads out. It’s mostly page formatting.
- Add GEO when your buyers ask an assistant before they build a shortlist (B2B services, healthcare, software, professional services) and you want your name in that answer. That’s where prompt testing, AI crawler rules and third-party mentions come in, and it’s the work our generative engine optimization services are built around.
If you can only afford one, pick SEO. Google says plainly that there are no additional requirements to appear in AI Overviews or AI Mode beyond being indexed and eligible for a snippet in normal Search.
GEO vs SEO vs AEO at a glance
| SEO | AEO | GEO | |
|---|---|---|---|
| Stands for | Search engine optimization | Answer engine optimization | Generative engine optimization |
| Goal | Rank pages in search results | Be the one direct answer | Be named or cited in an AI-written answer |
| Where it shows | Google and Bing results pages | Featured snippets, People Also Ask, voice assistants | ChatGPT, Gemini, Perplexity, Copilot, AI Overviews, AI Mode |
| What a win looks like | A position and a click | Holding the answer box | A mention, a citation link, an accurate description |
| Is there a “position one”? | Yes | Yes, the snippet | No. Answers vary between runs and between users |
| Main levers | Technical health, content, links | Question headings, short direct answers, lists, tables | All of SEO, plus quotable facts, third-party mentions, AI crawler access, consistent entity details |
| How you measure it | Search Console, rank tracking, analytics | Snippet tracking, Search Console | Repeated prompt tests, Bing’s AI citation report, referral traffic |
| Origin of the term | Industry term, decades old | Industry term from the featured-snippet and voice-search years | A 2023 research paper |
What is AEO?
Answer engine optimization (AEO) is shaping your content so a search engine or assistant can lift one direct answer from it: the featured snippet at the top of Google, an answer inside People Also Ask, or the sentence a voice assistant reads aloud. In practice that means a clear question as a heading and a short, complete answer right under it.
AEO predates ChatGPT by years. It grew up when Google began answering questions on the results page itself and smart speakers began reading those answers out loud.
You can’t apply for a featured snippet. Google’s own documentation answers the question “how can I mark my page as a featured snippet?” with “You can’t”. Its systems decide which page makes the best snippet. What you control is how easy your page is to quote.
Picture someone typing “how long does a trade licence renewal take in Dubai”. The page that gets lifted is rarely the one with the longest essay. It’s the one with that question as a heading and two plain sentences underneath, followed by the detail for anyone who keeps reading.
Lately “AEO” also gets used to mean AI answers in general, which is why you’ll see AEO and GEO treated as synonyms. We keep them apart for one reason: an AEO win shows up in an ordinary search, while a GEO win only shows up when you run prompts through an assistant.
AEO vs SEO: is there a real difference?
AEO is a subset of SEO. It runs on the same index and the same ranking systems, and in our experience the snippet almost always goes to a page that already ranks on page one. What AEO adds is formatting discipline, so the page that ranks is also the page that’s easiest to quote.
That discipline looks like this:
- Question-shaped H2s that match how people phrase the search
- A 40 to 60 word answer directly under each one, before any background
- Numbered steps for “how to” queries and tables for comparisons
- FAQ sections answering questions people actually ask, not ones invented to hold keywords
There’s a trade-off. A snippet can answer the question so completely that nobody clicks. Google lets you opt out with nosnippet or a low max-snippet value, as its featured snippet page explains. We’d still take the snippet for most commercial topics, because your name sits on the answer, and the people who do click arrive already half-convinced.
GEO vs SEO: what changes when an AI writes the answer?
SEO competes for a position on a list. GEO competes for inclusion in a paragraph. A generative engine runs one or more searches, reads a handful of pages, then writes an answer that might name you, cite you with a link, paraphrase you without credit, or leave you out. GEO is the work of being the source it picks, and being described correctly when it does.
Four things genuinely change.
There’s no rank to report
An answer has no tenth place. You’re recommended, cited, mentioned in passing, described wrongly, or missing. And the same prompt can produce a different answer an hour later or for a different person, so one screenshot proves very little. Measurement moves from a rank tracker to repeated prompt runs.
What earns inclusion is different
The research that named the field, GEO: Generative Engine Optimization by Aggarwal and colleagues, tested nine ways of rewriting a page. Adding quotations, adding statistics and citing sources did best. Keyword stuffing did worse than leaving the page alone. We go through the study and its limits in our guide to generative engine optimization.
Other people’s pages matter more
In SEO, other sites mostly matter as links pointing at you. In GEO, the engine often cites a comparison article, a directory or a trade publication that mentions you, instead of your own page. When we log which pages assistants cite for “which company should I use” prompts, third-party lists turn up again and again. So getting mentioned on those pages becomes part of the job.
Live search and training data behave differently
An assistant can answer from what it learned in training, or from pages it fetches right now. You can influence the second within weeks. The first moves only when a new model ships. The crawlers are split the same way: OpenAI documents GPTBot for training and OAI-SearchBot for search, says each setting is independent, and states that sites opted out of OAI-SearchBot won’t be shown in ChatGPT search answers. Google’s equivalent training control, Google-Extended, doesn’t affect inclusion or ranking in Google Search.
Where all three overlap
More than most GEO pitches admit. Google’s guidance for AI Overviews and AI Mode says you don’t need “new machine readable files, AI text files, or markup”, and no special schema either. Microsoft announced back in 2023 that Bing would be the default search experience in ChatGPT, and Copilot answers come from Bing too. So being well indexed in Google and Bing sits underneath every one of these.
The shared groundwork:
- Pages that crawlers can reach, with the real content in HTML text rather than locked in images or scripts.
- Answer-first structure, which helps a snippet, an AI Overview and a ChatGPT citation alike.
- Structured data that matches what’s visible on the page.
- A reputation that other sites repeat: reviews, press, directories, industry lists.
Where they genuinely split
This is the GEO-only list, and it’s shorter than the hype suggests.
- Prompt testing. A fixed set of buyer questions, run through each assistant several times, logging who’s named and which sources are cited. Nothing in classic SEO tooling does this for you.
- AI crawler rules. Deciding which training bots to block while keeping search bots like OAI-SearchBot, PerplexityBot and Bingbot allowed. CDN bot-blocking settings break this more often than robots.txt does.
- More attention to Bing. Bing Webmaster Tools now has an AI Performance report showing how often your pages are cited in Copilot and Bing’s AI summaries. It’s one of the few first-party AI citation numbers anyone publishes.
- Entity consistency. Your name, services and locations described the same way on your site, Google Business Profile, LinkedIn and directories. For Gulf businesses that means matching Arabic and English names too, because a model stitching sources together can’t tell that two spellings are one company.
You’ll also hear about llms.txt here. It’s a proposed file, cheap to add, and no major AI search engine has said it uses it to choose sources. Our llms.txt guide covers what it does and doesn’t do.
Is GEO replacing SEO?
No, and the reason is mechanical. The assistants that write answers find pages through search: Google’s AI features run on Google’s index, ChatGPT search crawls with OAI-SearchBot and draws on search providers, Copilot draws on Bing. A page that can’t rank anywhere is a page those systems struggle to find.
What is changing is where the decision happens. A facilities manager asks ChatGPT for “cold-room installers in Dubai who service hospitals”, gets three names with links, and visits those three sites. The firm ranking fourth on Google never learns that search happened. No impression, no click, nothing in Search Console. That invisible shortlist is what GEO measures and tries to get you onto, and it’s why we test Arabic and English prompts side by side when we do AI SEO for Dubai businesses.
What to do first, in order
- Fix indexing. Check Google Search Console and Bing Webmaster Tools. Pages that aren’t indexed can’t be cited.
- Check crawler access. Make sure robots.txt and your CDN let in Googlebot, Bingbot, OAI-SearchBot and PerplexityBot. Our robots.txt validator shows what a given bot is allowed to fetch.
- Rewrite your top pages answer-first. A question heading, a direct answer, then the detail. That’s your AEO work done, and it helps GEO too.
- Run a prompt baseline. Twenty buyer questions through ChatGPT, Gemini and Perplexity, three runs each, logging names and sources. Our step-by-step ChatGPT guide walks through the method.
- Go after the sources. Get listed accurately on the directories, comparison pages and publications those answers cite.
- Add llms.txt last, if at all. It’s housekeeping, not a lever.
Most businesses can get through the first three without outside help. Steps four and five are where a specialist earns their fee, because they need repetition, judgment about which sources matter, and patience.