SEO, AEO and GEO are used as if they were three separate disciplines, but Google's own guide to generative AI features in Search defines AEO and GEO as industry terms and then says that, from Google Search's perspective, optimizing for generative AI search is still SEO. That single position changes how the three should be compared.
What Each Term Means
SEO (search engine optimization) is the work of making a site easy for search engines to crawl and understand, and worth ranking, through technical health, useful content and trust signals such as links.
AEO (answer engine optimization) describes work aimed at being selected inside direct answers and AI-generated summaries, rather than only appearing as a blue link in a list of results.
GEO (generative engine optimization) describes work aimed at being visible and cited in responses written by generative AI systems, such as AI Overviews, AI Mode and standalone AI assistants.
What Google Itself Says
Google's guide lists the core of generative AI visibility as the same foundations SEO has always relied on: a clear technical structure and unique, valuable content that isn't just a recycled version of what already exists. It also tells site owners to monitor results through the Generative AI performance report in Search Console.
The same guide calls out a short list of tactics it says can be ignored for Google Search, including splitting content into artificial "chunks," creating unnecessary AI-specific text files such as llms.txt, and pursuing inauthentic mentions. In other words, Google does not treat "AEO/GEO tricks" as a separate toolbox.
Where the Terms Genuinely Differ
The difference is less about method and more about where success is measured. SEO success is usually measured in rankings, clicks and traffic. AEO and GEO success is often measured in whether a brand is mentioned or cited inside an answer, which may produce little or no click at all.
That shift matters for reporting. A page can be cited in an AI answer without sending a visit, so a business that only watches traffic can miss visibility it is actually earning, and a business that only watches mentions can miss that nobody is converting.
Why Google's "Still SEO" Position Has Limits
Google's guidance covers Google Search's own AI features. It does not claim to describe how every other AI assistant picks its sources, and those systems have not published guidance of the same kind. Anyone claiming precise, proven rules for how a particular assistant chooses citations is usually extrapolating from limited observation rather than documentation.
The sensible reading is that strong SEO foundations carry over almost everywhere, while platform-specific tactics outside Google deserve skepticism until they are backed by real evidence or repeatable tests.
What Is Actually Worth Doing
First, keep the fundamentals healthy: crawlable pages, clear structure, fast and usable experience, and content that adds something a reader could not get from a generic summary. These help ordinary rankings and AI visibility at the same time.
Second, make content easy to quote honestly: direct answers to real questions, plain definitions, and specific facts a reader can verify, rather than padding written to hit a keyword.
Third, earn real mentions. Being referenced by relevant, credible sites has long been part of SEO, and it is also the kind of signal that separates a trusted source from an unknown one. Manufactured or inauthentic mentions are the exact tactic Google says to avoid.
Fourth, measure both sides: use Search Console for the Google side, and track brand mentions and referral traffic separately so one does not hide the other.
Common Mistakes With the Three Terms
Buying a separate "GEO package" that consists of tactics Google says it doesn't need is the most common waste, since the same money put into content quality and genuine authority helps every channel.
The opposite mistake is ignoring AI answers entirely. Even if the method is familiar, the measurement and content format deserve attention, because users increasingly get an answer before they ever click.
A third mistake is treating trend spikes as strategy. Search interest for "GEO" on its own is dominated by unrelated topics such as news channels and geography games, so the raw volume overstates how many people are actually looking for AI search optimization.
How Apex Digital Forge Approaches It
We treat GEO as SEO applied to AI answer surfaces: fix the foundations first, publish content worth citing, earn relevant links and mentions, and report visibility in AI answers alongside classic rankings instead of selling it as a separate magic layer.
Frequently Asked Questions About GEO, AEO and SEO
Is GEO different from SEO? In method, mostly not. For Google Search, Google describes optimizing for generative AI search as still SEO, though the way success is measured and reported does differ.
What is AEO? Answer engine optimization is work aimed at being chosen for direct answers and AI-generated summaries, not just listed in ordinary results.
Do I need llms.txt for AI search? Google says it is unnecessary for Google Search. Other systems have not published equivalent guidance, so treat it as optional rather than a ranking requirement.
Getting Started
Start by auditing your top pages for the basics: clear answers, accurate facts and crawlable structure. Then set up Search Console's generative AI reporting so you can see what is actually happening before changing anything.
There's more detail in our guide to Generative Engine Optimization: The Complete Guide.