Key takeaways
- SEO, AEO and GEO are mostly the same discipline. The fundamentals (clear content, good structure, authority) don’t change.
- AEO (answer engine optimization) is about showing up in direct answers like featured snippets and AI Overviews. GEO (generative engine optimization) is about being mentioned inside AI-generated answers.
- The genuinely new part isn’t an on-page trick. It’s being mentioned off your own site, and being quotable.
- Don’t buy a separate “GEO service.” It’s SEO, plus digital PR.
There’s a lot of noise around SEO, AEO and GEO right now, and most of it is vocabulary. The underlying shift is real: Gartner predicted that traditional search engine volume would fall 25% by 2026 as people move some queries to AI chatbots and other virtual agents (Gartner). But new acronyms make that shift feel bigger and more mysterious than it is. Underneath, there’s one real change worth your attention, and a lot of relabelling. Here’s the plain version.
The plain definitions
SEO, search engine optimization, is getting found in search: ranking your pages so people click through.
AEO, answer engine optimization, is showing up in direct answers rather than the list of links. Think featured snippets, and Google’s AI Overviews. The “engine” answers the question, and you want to be the source it uses. For the wider picture, start with what AI search is, and how it differs from Google.
GEO, generative engine optimization, is being named or cited inside a generative answer, the kind ChatGPT, Perplexity or Claude write. You’re not a link in a list; you’re a source woven into a paragraph.
Read them back to back and the overlap is obvious. All three are about being the trusted, well-structured source for a given question. The surface changes; the job barely does.
Where they overlap (which is almost everywhere)
Roughly ninety percent of what wins in AEO and GEO is just good SEO practised well. Answer the question clearly. Structure the page so a machine can extract the answer. Be an entity search engines understand. Earn references from credible sources.
Google itself has been clear that optimizing for its AI features is not a separate discipline, it’s the same fundamentals it has always rewarded. Its own documentation states there are “no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary” (Google Search Central). If a page is helpful, well-structured and trusted, it’s a candidate for a blue link, a featured snippet, and an AI citation.
The data backs this up on Google’s own AI surface. Ahrefs found that 76% of the pages cited in Google’s AI Overviews already rank in the top 10 for the query (Ahrefs). For AI Overviews, ranking well and getting cited are still closely linked, which is why the same content can appear as a normal result and inside the AI answer above it.
The 10% that’s genuinely new
If it’s mostly the same, what actually changed? Two things, and neither is an on-page hack.
First, off-site presence matters more than ever. The AI assistants people use directly behave differently from Google. In a study of 15,000 prompts, Ahrefs found that only 12% of the URLs cited by ChatGPT, Gemini and Copilot also ranked in Google’s top 10 for the same query, and roughly 80% did not rank anywhere in Google for that query at all (Ahrefs). Ranking is no longer the whole game. Generative answers lean heavily on what the wider web says about you, the reviews, the comparisons, the mentions. You can have a perfect page and still be absent from AI answers because nobody else references you. It is why our monthly research tracks which brands AI actually recommends across industries, not only where they rank. For how this works under the hood, see how LLMs decide which brands to recommend.
Second, quotability. A model lifts the cleanest, most self-contained statement it can find. Writing a sharp, standalone answer is now a distribution skill, not just a style choice. There’s a full walkthrough in how to structure content to get cited by AI.
Why chasing acronyms is a trap
Every few months a new label appears and someone sells a service around it. The risk is that you start collecting acronyms instead of doing the work. You don’t need a “GEO package” that’s really just SEO with a markup. You need to be the source people and machines consistently reference.
So treat SEO, AEO and GEO as one expanding discipline, not three. Do the fundamentals, structure for extraction, and invest in being talked about. That covers all three at once.
Frequently asked questions
Is GEO a real thing or just marketing?
The behaviour is real, being cited inside AI answers genuinely matters. But it’s not a separate discipline with secret techniques. It’s SEO plus digital PR, applied to a new surface.
Do I need different content for AEO and GEO?
No. The same answer-first, well-structured, well-referenced content serves both, and traditional search too. You’re optimizing the source, not making three versions of it.
Should I hire a GEO specialist?
Look at what they actually do. If it’s clear content, entity consistency and earning mentions, that’s SEO done well. Be wary of anyone selling gimmicks like special “AI schema” or an llms.txt file as the key. Google’s own documentation is explicit that you don’t need to create new machine readable files, AI text files, or special schema.org structured data to appear in its AI features (Google Search Central).
Written by Matthis Duarte, a senior SEO and organic growth expert with 10+ years of experience driving organic growth for international brands across highly competitive verticals. He is the founder of Knownful, an independent publication on SEO and organic growth featuring in-depth guides, best practices, playbooks and original analyses, including a free monthly study of which brands AI actually recommends across 10 industries.