SEO vs GEO vs AEO: What Actually Changes for Your Business

ChatGPT answering a question and citing its sources, illustrating SEO vs GEO vs AEO

Short version, so you can get on with your day. SEO is the work of earning a click out of a list of links. AEO (Answer Engine Optimization) is the work of being the answer displayed at the top — the snippet, the voice reply, the box that means nobody scrolls. GEO (Generative Engine Optimization) is the work of being one of the sources ChatGPT, Perplexity or Google’s AI Overview draws on when it writes an answer in its own words.

Now the useful part, which most explainers of SEO vs GEO vs AEO leave out: sit down and list the actual tasks behind each one and they overlap heavily. Three destinations, largely one road. If you run a fifteen-person business, one plan with a second scoreboard bolted on will cover you. The rest of this piece shows you where the road genuinely forks, where it doesn’t, and what that means for what you spend.

First: GEO has nothing to do with geography

Worth clearing up, because the abbreviation is bad. GEO here means Generative Engine Optimization. Nothing to do with maps, “near me” results or ranking in your city. That’s local SEO, a separate discipline with an unfortunately similar name.

The term comes from an academic paper, not a marketing deck. Aggarwal and colleagues named it in a paper accepted to KDD 2024, and their framing is the useful bit: generative engines are a problem for anyone who publishes, because creators have “little to no control over when and how their content is displayed” (GEO: Generative Engine Optimization, arXiv 2311.09735, accepted to KDD 2024).

Their headline result is a visibility boost of up to 40%. It’s up to, and it comes from a 10,000-query benchmark the authors built themselves called GEO-bench, run against an engine they assembled for the experiment. They also tried it on Perplexity.ai across 200 queries, where the same tactics scored 37% on one of their two visibility measures and 9% on the other. The paper says plainly that results vary by subject area, and the preprint went up in November 2023, which in this field is ancient. Useful direction of travel; no forecast for your business.

What each one is actually asking for

SEO: earning the click

The classic. Pages that load fast, a structure Google’s software can read end to end, content that matches what someone typed, other sites linking to you because you’re worth linking to. None of it has been deprecated. If your site is slow, thin and invisible, no AI-era tactic rescues it: every generative engine still draws most of its raw material from the same crawled web.

AEO: winning the box at the top

AEO grew out of voice assistants and featured snippets, those grey boxes that answer your question before the results start. The ask is structural: answer the question directly, near the top, in plain language, in a chunk a machine can lift cleanly. A page that meanders for 400 words before defining the thing in its own headline will lose to a page that defines it in sentence two.

There’s an awkward trade-off here. Winning can cost you the visit. If someone’s entire question is “what time does your store close,” being the answer means they never arrive. Fine, that visit was worth nothing anyway. But don’t optimize your highest-intent sales pages into tidy little answer boxes that satisfy people out of ever contacting you.

GEO: getting named by the model

The newest of the three, and the least mechanical. A generative engine reads several sources and composes a paragraph of its own. There is no position three to fight for. You’re trying to be one of the handful of things it read, and one of the fewer it credits by name. In practice that means being quotable and checkable: clear claims, a named author, specific numbers with the source attached, and a business the engine can recognize as the same business everywhere it appears, with the same name, category and description on your site, your listings and your profiles.

SEO vs GEO vs AEO: the table, and what it hides

Every article on this topic gives you a comparison table. Here’s the short version, followed by the caveat that matters more than the table itself.

 SEOAEOGEO
Where you show upThe list of resultsThe answer box, voice repliesInside a ChatGPT / Perplexity / AI Overview answer
What you winA visitVisibility, sometimes a visitA mention
Measured byRankings, traffic, conversionsSnippets won, impressionsHow often engines name you, referrals from AI tools
Main workSpeed, structure, content, linksDirect answers, clean formattingQuotable claims, sources, consistent identity, third-party mentions

What the table hides is how much of column four you’re already doing in columns two and three. Fast, readable pages that answer real questions serve all three. So does structured data, the invisible labels that tell software “this is a product, this is a review, this is a business.” So does a reputation built elsewhere.

The genuinely GEO-specific additions come down to a short list: state your claims plainly so a machine can lift them whole, cite your own sources so you’re worth citing back, keep your identity consistent, and make sure your site isn’t blocking the AI crawlers in the first place. That last one catches people out. Your robots.txt, the small file at the root of your site telling automated visitors what they may read, may be quietly turning away GPTBot, ClaudeBot and PerplexityBot.

The one difference that actually changes your week

Strip away the acronyms and there’s a single real split: SEO wins you a visit; GEO and AEO win you a mention. Everything else follows from that.

A mention doesn’t appear in your analytics as a session. It appears weeks later as somebody typing your company name straight into their browser, or opening a call with “ChatGPT said you handle bathroom remodels.” Your traffic graph can flatten while your pipeline improves. Or the reverse, which is nastier and more common right now.

Pew Research Center measured the traffic side using browsing data from 900 U.S. adults across 68,879 Google searches in March 2025: when an AI summary appeared, users clicked a traditional result link on 8% of visits, against 15% of visits with no summary, and clicked a link inside the summary itself on just 1% of visits (Pew Research Center, July 22, 2025).

Four caveats, all of which matter. Those are percentages of visits, not of people. The panel is U.S.-only. The browsing happened in March 2025, but Pew rebuilt the results pages by re-running the same searches on April 7–17 through a scraping service, and notes that a given summary “may change over time,” so summary presence is a careful reconstruction of what each person probably saw. And the browsing data is now over a year old.

Also from the same study, and rarely quoted: only 18% of searches produced a summary at all, and among one- or two-word searches just 8% did. So this isn’t the death of search. It’s a real, measurable haircut on question-shaped queries and close to nothing on short ones.

So what should you actually do?

Keep doing SEO. Add AEO structure to the pages you already have, which is an afternoon of editing. Start GEO by measuring, because you can’t improve your standing with engines you’ve never checked. Open ChatGPT and Perplexity, ask a dozen or so questions a customer would ask, and write down whether your name comes up. We wrote a longer walkthrough of exactly that: how to check if ChatGPT and Perplexity recommend your business.

And if your traffic recently fell and you are not sure whether AI search is behind it, check Why Your Website Traffic Dropped — and How to Tell If AI Is the Reason.

This shifts if you’re in a category where AI answers dominate: B2B software, professional services, anything where buyers research heavily before talking to a human. There, GEO deserves real budget this year. If you sell same-day emergency plumbing, relax. Your customers are still tapping the map.

I’ll flag this next one as opinion. Pew reported Wikipedia, YouTube and Reddit as the most-cited sources in AI summaries, but all three combined made up just 15% of sources, and a similar 17% of standard results. They’re heavily cited everywhere, which tells us less about AI than the headline suggests, and nothing about whether showing up there gets you cited. I’d still rather be the recommended answer in a relevant Reddit thread than absent from it. Call it a sensible bet on thin evidence.

Should you hire someone for this?

Often, yes. I’d rather say that plainly than pretend every business can handle it in-house.

A good agency or an experienced freelancer earns their fee here, because the ground moves fast enough that keeping up is itself a job. Someone doing this across twenty clients notices which tactics stopped working within weeks; doing it for one site between everything else, you find out months later. If you have real revenue at stake and no in-house marketer, hiring is the right call.

Two questions worth asking before you sign. First, what’s actually inside the GEO line item? If the answer is content, technical fixes and structured data, that’s real work and the label doesn’t matter. Second, how will they show you it worked, given that a mention never appears in Google Analytics? Anyone promising to “rank you #1 in ChatGPT” is describing something that doesn’t exist; there are no positions to rank in.

Quick answers

Is GEO replacing SEO?

No. Generative engines are built on top of the same crawled web. Weak SEO fundamentals cap what GEO can do for you.

Do I need a separate budget for AEO?

Usually not. AEO is mostly a way of writing and formatting pages you’re already producing.

How do I know if any of this affects me?

Ask ChatGPT and Perplexity the questions your customers ask, and check your own site logs for AI crawlers. If neither shows anything, treat that as a starting point and get on with the fundamentals.

What’s the difference between GEO and local SEO?

Completely different things. GEO is about generative engines; local SEO is about geography.

Where Hepteon comes in

We built Hepteon because that overlap is the sort of thing software should absorb. Seven AI agents run a site end to end: Strategist, Connector, Technical, Writer, Amplifier, Results and Publisher. The Technical agent handles the crawler access and structured labeling all three disciplines depend on. The Results agent tracks traffic and engine mentions side by side, so a mention doesn’t go uncounted just because analytics can’t see it.

Agencies and freelancers can run Hepteon white label across a client portfolio, which is usually the better fit when managing sites is already the business. Either way, start with the manual version tonight: ask the engines about your own company and read what they say back. It costs nothing and it tells you whether any of this is urgent for you.

Image: “ChatGPT got it right” by daveynin, via Flickr, licensed under CC BY 2.0.

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