AEO vs SEO vs GEO: what actually differs, in plain English
SEO is being findable, AEO is being quotable, GEO is being cited by generative answers. All three matter, and none of them replaces the others. Here is what changes about how you write when the reader is a machine.
5 min readStallwart
The three practices, in one sentence each
SEO is the practice of writing and structuring content so a search engine ranks it in a list of results for the query a person typed. AEO, answer engine optimization, is the practice of writing that same content so an answer engine can lift a self-contained sentence out of it and quote it as the answer. GEO, generative engine optimization, is the practice of writing so a generative search surface (Google's AI Overviews, Perplexity, ChatGPT search) selects the page as a source and cites it inside a generated answer.
They are not the same problem. SEO fights for a click. AEO fights to be the quoted paragraph. GEO fights to be one of the three or four sources a language model actually pulls from when it composes an answer. A page can win one and lose the others, which is why teams that treat this as a single practice keep drifting away from the traffic that used to arrive.
What each practice actually asks of a page
SEO asks for the classic checklist: the query intent is answered, the page is technically sound, the topic is covered with real depth, and other sites link to it. Ranking is a function of relevance, authority, and structure, and the tie-breakers move around, but the shape has not changed in years.
AEO asks for one additional thing: the answer has to exist inside the page as a self-contained sentence a machine can lift without paraphrasing. FAQ blocks with clean question-and-answer pairs work because they hand the machine exactly the right shape. Long paragraphs that only imply an answer often get ignored, even when they rank well.
GEO asks for a third thing on top: the page has to be selected as a source by a language model composing an answer. Selection favours pages that are specific, verifiable, well-cited, and not obviously written to game the system. It also favours pages the model has already seen: coverage from other trusted sites, mentions in domain-specific corpora, presence in llms.txt-style manifests. This is closer to public-relations logic than to link-building.
The single-page checklist for all three
Most content teams do not want three separate content strategies; they want a single page that does the job of all three. That page has a specific shape.
- One question per page, answered in the first paragraph in a single self-contained sentence.
- Structured FAQ block at the end, phrased as buyers actually type, with each answer a paragraph that stands alone.
- Explicit definitions of the jargon on the page, written to be quoted (this is what a glossary is for).
- Verifiable specifics: numbers with sources, direct quotes with attribution, dates on claims that decay.
- FAQPage and Article JSON-LD schema on every post; BreadcrumbList so the hierarchy is machine-readable.
- A canonical URL and a stable slug; do not move pages that already earn citations.
- An llms.txt file at the root that inventories the site's canonical URLs for language-model crawlers.
- Internal links that point from money pages to the source page, so authority flows to the pages you want cited.
What actually changed in the shift from SEO to GEO
The old game had one destination: a person clicking through to your page. The new game has two: a person clicking through, and a language model reading your page to compose an answer someone else reads. The traffic reads differently in both directions, and the second one does not always leave a footprint in analytics.
That is why brand mentions and citations in AI answers have started to matter as much as clicks. A citation in an answer engine is not a link visit; it is a distribution channel that puts your name in front of a buyer who never lands on your site. Measure both, or you will optimize away the second and not notice.
What Stallwart does for this
Every page on this site is engineered for all three. Articles carry FAQ blocks and Article schema; the glossary is written to be quoted; llms.txt is generated from the same data as the site so it never drifts; canonical URLs never move. The blog is a single namespace, not split across `/blog` and `/case-studies`, because splitting ranking signal across two identical namespaces is a self-inflicted GEO problem.
The point is not that this list is exhaustive. It is that the shift to generative answers is a shape change, not a tactic swap, and the pages built for it look different from pages built for ten blue links five years ago.
The short version
- SEO is being findable, AEO is being quotable, GEO is being cited by generative answers. They are three problems, not one.
- A single page can serve all three if it leads with a self-contained answer, carries an FAQ block, uses FAQPage and Article schema, and cites verifiable specifics.
- Citations in AI answer engines are a distribution channel that does not always show up as a click; measure them alongside traffic.
- The canonical URL and a stable slug matter more in the GEO era, not less; moving cited pages is now a self-inflicted wound.
Questions this raises
- What is the difference between SEO, AEO, and GEO?
- SEO ranks a page in a list of search results. AEO structures the page so an answer engine can lift a self-contained sentence and quote it as the answer. GEO makes the page one of the sources a generative search surface (AI Overviews, Perplexity, ChatGPT search) cites inside a generated answer. All three matter and a page can win one while losing the others.
- What is Generative Engine Optimization (GEO)?
- GEO is the practice of writing content so language-model-based search surfaces select it as a source when composing an answer. Selection favours pages that are specific, verifiable, well-cited, and already visible in the trusted corpora the model draws from.
- How do you get cited by ChatGPT, Perplexity, or AI Overviews?
- Publish content that is specific, verifiable, and structurally clean: one question per page, answered up front in a self-contained sentence, with an FAQ block, Article and FAQPage JSON-LD, stable canonical URLs, and coverage from other trusted sites. Generative engines lean on structure and authority, not clever phrasing.
- Do FAQ schemas and llms.txt still matter for AI search?
- Yes. FAQ blocks with FAQPage JSON-LD hand answer engines the exact shape they lift as a quoted answer, and llms.txt gives language-model crawlers a canonical inventory of the site. Neither is optional if the site is written to be quoted rather than only ranked.
- Is SEO dead now that AI answers questions directly?
- No, but its endpoint changed. SEO used to end at a click; it now also ends at being one of the sources a generative answer cites. Pages built only for the click miss the second endpoint, and that is where the visibility loss shows up.
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