Two of these three are not established disciplines. SEO is decades old, has published technical requirements, and a search engine you can query to check your work. AEO and GEO are marketing labels stitched onto things SEO already did, repackaged as something new because ChatGPT showed up. That is not an argument against caring about AI search. It is the reason most of what gets written about "optimizing for AEO and GEO" turns out to be wrong, including an earlier version of this post.
Search aeo vs seo vs geo, or any of the six ways to order three letters, and you'll land on nearly identical comparison tables, most repeating some version of "SEO gets you found, AEO gets you featured, GEO gets you cited." It's tidy, quotable, and mostly marketing copy dressed up as a framework. The tidiness is the tell. Real technical categories, the ones with published specifications and a body to enforce them, don't usually line up in a rhyme.
SEO vs AEO vs GEO: what each one actually is
SEO (search engine optimization) is the real one. Google and Bing publish how their crawlers work, how indexing works, and roughly what they reward in ranking. You can check whether your work did anything: type the query, see where you land. Every AEO and GEO tactic worth doing is a subset of this.
AEO (answer engine optimization) describes writing content direct enough to win a featured snippet, a "People Also Ask" entry, or a voice-assistant answer. That is a reasonable thing to want. It is also something SEO writers have been doing since Google introduced featured snippets in January 2014, a decade before anyone called it AEO. There is no separate technical standard behind the acronym: no AEO-specific markup, no AEO crawler, no AEO index to check your position in. It names a content pattern, not a discipline.
GEO (generative engine optimization) is the more interesting case, because it did not start as a marketing term. Researchers first defined it in a November 2023 paper, introducing GEO as "the first novel paradigm to aid content creators in improving their content visibility in generative engine responses." That paper tested specific content changes, adding statistics, citing sources, quoting authorities, against how often an AI-generated answer referenced the page. It is legitimate research, later accepted at KDD 2024. What happened next is the part worth being skeptical of: SEO vendors adopted the acronym and reattached it to the service they were already selling, schema markup and technical audits included.
What Google says about AEO vs GEO vs SEO
Here is the part that should settle the argument. Google's own documentation on appearing in AI Overviews and AI Mode states plainly: "There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary." It continues: "You don't need to create new machine readable files, AI text files, or markup to appear in these features. There's also no special schema.org structured data that you need to add." The only technical bar is the one SEO already clears: the page has to be indexed and eligible to show with a snippet in regular Search.
That kills two claims you'll see repeated across AEO and GEO content, including my own earlier draft of this piece: that you need dedicated schema markup to be "AI-eligible," and that publishing an llms.txt file helps Google find or cite you. Google has not adopted llms.txt, has not asked for it, and has not said it changes anything. If a vendor pitches either one as a requirement, ask them to point to where Google says so. They can't, because Google says the opposite.
GEO vs SEO vs AEO: what actually changes in practice
If the acronyms aren't separate technical disciplines, is there anything real going on? Yes, but it is smaller and less exciting than a new discipline. Two things shift when the surface is a generated answer instead of a results page.
You can't check your position the way you check a ranking. SEO gives you a rank tracker. AI answers are generated fresh, non-deterministic, and different across ChatGPT, Perplexity, Gemini, and Google's own AI Overviews. The only way to know whether you're named is to actually ask the question, more than once, and read what comes back.
Off-page signals carry more of the weight, not less. The pages an AI assistant tends to cite are the ones with an existing footprint elsewhere: press mentions, directory listings, expert bios, third-party write-ups. That's not a new tactic either. It is off-page SEO, the same authority-building work that has mattered since before "GEO" existed, just newly relevant to a channel that didn't exist a few years ago.
Neither of those is a reason to rebuild your site around a three-letter acronym. They're a reason to ask, honestly, whether AI assistants are naming you at all right now, and if not, why not.
SEO vs GEO vs AEO: the one question worth answering
Whatever order you type the acronyms in, seo vs aeo vs geo or geo vs seo vs aeo, the actual question underneath the search is the same: does anyone else need a separate playbook for AI search, or does the work still trace back to the fundamentals? Mostly it traces back. The one part that genuinely differs, whether AI assistants recommend you by name, isn't something a rank tracker will tell you.
I wrote a ten-minute check for exactly that: Does ChatGPT recommend your company? It's the practical next step from here, five questions, three engines, an honest read on where you stand before you spend a dollar on any of the above.