SEO, AEO, and GEO all aim at the same underlying goal – getting your content in front of someone with a question – but they aim at different destinations. SEO gets a page ranked so a person can click through and read it. AEO gets a specific answer extracted and cited inside AI Overviews, voice search, or a featured snippet. GEO is the academic term for optimizing visibility inside a generative model’s own response, using a framework built for that purpose rather than traditional ranking signals. Most of the daily work – clear structure, real answers, crawlable pages – overlaps across all three, and the acronyms mostly describe which destination you’re aiming at, not three separate skill sets you need to hire for.
Three labels, one discipline: the surfaces and metrics differ, most of the underlying work does not.
The three terms get used almost interchangeably in vendor pitches, which makes them sound like three separate line items to budget for. They mostly aren’t. Here’s what genuinely differs between them, what’s the same work with a new label on it, and what a small B2B site should actually build first.
Where they genuinely differ
The clearest way to separate the three is to ask what each one is actually optimizing for, because the targets are different even where the underlying content overlaps.
SEO, per Google’s own current framing, is “about helping search engines understand your content, and helping users find your site and make a decision about whether they should visit your site through a search engine.” The target is a click: your page has to rank, and then a person has to decide it’s worth visiting.
AEO drops the click as the goal. HubSpot’s own comparison puts it plainly: “answer engine optimization is different from traditional SEO because AEO prepares content for direct answers in AI Overviews, voice search, and featured snippets, while SEO focuses on ranking full pages in organic search results.” The two “run in parallel,” HubSpot adds, “and they rely on different signals, content structures, and measurement frameworks.” You’re not optimizing a page to be visited – you’re optimizing a passage to be lifted out and quoted.
GEO is narrower and newer than either term suggests from how it gets used in marketing copy. It comes from a specific 2023 research paper (Aggarwal et al., presented at KDD’24) that describes itself as “the first novel paradigm to aid content creators in improving their content visibility in generative engine responses through a flexible black-box optimization framework for optimizing and defining visibility metrics.” That’s a research framework with its own defined metrics and its own reported result – the paper states GEO “can boost visibility by up to 40% in generative engine responses” – not a settled industry practice with its own toolset yet. When someone says “GEO strategy” in a sales deck, they usually mean something closer to AEO.
The feedback loops differ too, and this is the part that matters operationally. SEO has mature, free instrumentation: Search Console, rankings, click-through rate. AEO citation tracking is still immature – there’s no equivalent of Search Console for “which AI answers quoted you,” so most sites are working with thinner signal. GEO, as the paper defines it, is a research framework with its own visibility metrics, which isn’t the same as something you can wire into your own analytics stack today.
Where it’s the same work relabeled
Here’s the honest part: a lot of what gets marketed as a distinct “AEO tactic” or “GEO tactic” is SEO fundamentals with a new name attached. HubSpot’s own comparison says as much – “while good SEO can lead to some AEO wins, it is not a substitute for explicitly structured answers, schema, and consistent terminology” – which is a two-way admission: SEO work contributes to AEO outcomes, but structure has to be explicit too, not just implied by good ranking copy.
I’ve made the same point about AEO specifically on this site before: “answer engine optimization is the practice of making your content a source that AI assistants such as ChatGPT, Perplexity, and Google’s AI Overviews cite when they answer your buyers’ questions,” and it “extends SEO rather than replacing it, and most of the underlying work overlaps.” That’s not a hedge – it’s the actual shape of the work. Clear headings, direct answers near the top of a page, crawlable HTML, and topical depth all serve both goals at once.
Where this gets tested is schema markup, which is the single most-hyped “AEO tactic” in most vendor pitches. I’ve already covered a study on this site that ran the test directly: adding JSON-LD schema markup to pages “produced no citation gains in AI engines: statistically insignificant moves for ChatGPT and Google AI Mode, and a significant decline for Google AI Overviews.” The methodology behind that finding compared “1,885 pages that added JSON-LD structured data” against “4,000 matched control pages that did not.” Schema is good hygiene and it’s still worth doing for other reasons, but it’s not the lever that separates a page that gets cited from one that doesn’t. That result alone should make you skeptical of any pitch that frames GEO or AEO as a checklist of new technical add-ons rather than a continuation of the same fundamentals.
Which to invest in first for a small B2B site
If you’re a small B2B site with limited hours, the ordering follows directly from the overlap above. Get the SEO foundation right first: pages that crawl cleanly, headings that state the actual question being answered, and copy that answers it directly instead of building up to it. That work is not optional groundwork you do before AEO – per the site’s own AEO definition, it’s most of the underlying work AEO shares with SEO in the first place.
Once that foundation is solid, layer in AEO-style structuring deliberately: a direct-answer paragraph near the top of the page, FAQ sections with explicit questions and answers, and schema markup where it’s straightforward to add. Do this because it’s low-cost and consistent with how the format works, not because the schema study above gives you any reason to expect a citation lift from schema alone.
I would not build a dedicated “GEO strategy” as a small team right now. The term names a specific research framework with its own optimization process and its own metrics – not a set of tactics a marketing team can run today the way you’d run a keyword-targeted content calendar. Worth watching as the research matures. Not worth a separate budget line yet.
What’s measured here versus inferred
Google’s SEO definition and HubSpot’s AEO-vs-SEO framing above are direct quotes from those sources, fetched and verified live on the date of writing – they’re each source’s own stated position, not an independent audit by this site. The GEO paper’s “up to 40% visibility” figure is the paper’s own self-reported result from its own testing framework, not a number this site has independently reproduced. The two claims drawn from this site’s own prior posts – the AEO definition and the schema-markup finding – are first-party: they’re what this site has already published and tested, not generic claims about how every site performs.
One figure I looked for and could not verify is the reported overlap between AI Overview citations and top-ranking organic results. Sources put that number anywhere from roughly 37% to nearly 99% depending on methodology, and I couldn’t independently confirm either figure through a live source. Rather than cite a contested number, I’m leaving it out. There’s also no search-volume figure in this piece for “GEO vs SEO vs AEO” or any related term – Keyword Planner access isn’t functional in my environment right now, and disclosing that seemed more useful than guessing.
Frequently asked questions
Is GEO the same thing as AEO?
No, though they’re used interchangeably in a lot of marketing copy. GEO is the specific term from a 2023 research paper that defines a black-box optimization framework with its own visibility metrics. AEO is the broader, more commonly used industry term for the same general goal – getting cited in AI-generated answers – without being tied to that one paper’s specific framework. In practice, most people saying “GEO” in a sales pitch mean AEO.
Does adding schema markup guarantee AI citations?
No. A study this site has already covered found that adding JSON-LD schema markup produced no measurable citation gains in ChatGPT or Google AI Mode, and a measurable decline in Google AI Overviews, when compared against matched pages that didn’t add it. Schema is still worth doing as general hygiene, but it isn’t the tactic that separates cited pages from uncited ones.
Should a small B2B site build a separate GEO strategy?
Not as a distinct budget line, at least not yet. GEO names a research framework, not a shipped set of tactics a small marketing team can run today. A stronger use of limited time is getting SEO fundamentals right, then layering AEO-style structuring – direct answers, FAQ sections, schema where it’s easy – on top of that same foundation.
About the author: Shivaa Tripathi leads digital and performance marketing at Exotel and writes about demand gen, AI search, and the systems behind them at shivaatripathi.com. He built organic-os, the open-source AI SEO agent this site documents. LinkedIn · GitHub
Drafted with organic-os and human-reviewed before publishing — every change on this site is approved by a person and logged publicly on the live proof page. Published 2026-08-07 · Updated 2026-08-07.
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