SEO, AEO, and GEO are three names for related ways of getting found. Search Engine Optimization (SEO) makes your pages rank in a list of blue links on Google or Bing. Answer Engine Optimization (AEO) makes your brand appear inside AI-generated answers from tools like ChatGPT, Perplexity, and Google AI Overviews. Generative Engine Optimization (GEO) is the academic term for that same AI-answer work, coined by a 2024 Princeton study.
The short version: SEO optimises for ranking positions, while AEO and GEO optimise for being cited and quoted inside generated answers. AEO and GEO are largely the same discipline under two labels. You still need all three, because they share the same underlying content and compound on each other.
| Dimension | SEO | AEO | GEO |
|---|---|---|---|
| Goal | Rank a page high in the results list | Get your brand cited inside AI answers | Get your content quoted by generative engines |
| Where it shows up | Google and Bing results pages | ChatGPT, Perplexity, AI Overviews, Copilot | The same generative engines, framed by research |
| What it optimises | Pages, links, and technical crawlability | Answers, entities, and citable facts | Passages an engine will lift and synthesise |
| Key signals | Backlinks, keywords, page speed, intent match | Structure, clarity, citations, third-party mentions | Statistics, quotes, sourced claims, authority |
| How you measure it | Rankings, organic clicks, impressions | Share of AI answers, citation frequency, sentiment | Citation rate and inclusion across prompts |
| Who it's for | Anyone chasing search traffic | Brands that want to be recommended by AI | Teams optimising specifically for LLM outputs |
What is SEO?
SEO (Search Engine Optimization) is the practice of getting your web pages to rank in a search engine's list of results. When someone types a query into Google or Bing, SEO influences whether your page appears near the top of the links returned. It has three broad pillars: technical health so engines can crawl and index you, on-page relevance so your content matches the query, and off-page authority earned mainly through backlinks.
SEO has powered digital marketing for over two decades and it still sends most website traffic. The catch is that it optimises for a click. The user sees a list, chooses a link, and lands on your site. When an AI engine answers the question directly instead of showing links, that click may never happen, which is why AEO and GEO now matter alongside it.
What is Answer Engine Optimization (AEO)?
Answer Engine Optimization (AEO) is the practice of getting your brand and content cited inside the answers that AI engines generate. Instead of ranking a page for a click, AEO aims to make ChatGPT, Perplexity, Google AI Overviews, Claude, and Copilot mention you, recommend you, or quote you when a user asks a relevant question. The unit of success is a citation or a recommendation, not a position in a list.
AEO rewards content that is easy for a model to extract and trust: clear structure, direct answers near the top, well-defined entities, and claims backed by named sources. It also depends heavily on what others say about you, because engines synthesise from across the web, including Reddit, Quora, and marketplace reviews. Structured, well-cited pages earn up to 40% more AI citations, per the Princeton GEO study.
Structured, well-cited pages earn up to 40% more AI citations.(Princeton GEO study, KDD 2024)
What is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) is optimising content specifically to be quoted and synthesised by generative AI engines. The term comes from a 2024 Princeton research paper (presented at KDD 2024) that ran controlled tests on what makes engines cite a source. Its findings were concrete: adding relevant statistics, direct quotations, and cited claims measurably raised how often content was included in generated answers.
GEO and AEO describe the same goal from two directions. GEO is the research-derived, engine-focused label, while AEO is the common industry label most marketing teams use. If you optimise for one, you are almost always optimising for the other. The practical takeaway from the GEO study is that sourced, quotable, statistic-rich writing wins inclusion, which is exactly what good AEO content already does.
AEO vs GEO: are they actually different?
Mostly no. AEO and GEO are the same discipline under two names, and treating them as rivals wastes time. Both aim to get your content surfaced inside AI-generated answers rather than in a ranked list of links. The tactics overlap almost completely: clear structure, extractable answers, named citations, quotable statistics, strong entity signals, and third-party corroboration.
The only real distinction is origin. GEO is the term from the 2024 Princeton study, framed around what generative engines quote. AEO grew from the SEO industry as answer engines went mainstream. Some practitioners use GEO to mean the narrow, measurable optimisation of passages, and AEO to mean the broader brand-visibility programme. For most brands the difference is semantic. Pick one word and stay consistent.
Do you still need SEO?
Yes. SEO, AEO, and GEO compound rather than replace each other, so dropping SEO would undercut the other two. AI engines draw much of what they cite from pages that already rank well and carry authority. A page that is crawlable, relevant, and trusted for classic SEO is also a page an answer engine is more likely to quote. The technical and authority work you do for search directly feeds AI visibility.
The reason to add AEO and GEO is that answer engines are absorbing queries that used to end in a click. Gartner expects traditional search volume to fall 25% by 2026. That does not make search worthless. It means a share of demand is shifting into AI answers, and brands that optimise for both the ranked list and the generated answer capture attention in both places.
Gartner expects traditional search volume to fall 25% by 2026.(Gartner, 2024)
How to start with AEO
Start by finding out how AI engines describe you today, then fix the gaps that keep you out of answers. The work is methodical and most of the early wins are content and structure changes you can ship quickly.
- Audit your current AI visibility. Run your real category buying prompts across ChatGPT, Perplexity, Gemini, AI Overviews, Claude, Copilot, and DeepSeek, and record where you appear, where a competitor appears instead, and what each engine gets wrong about you.
- Mine real buyer questions. Pull the phrasing people actually use from Reddit, Quora, X, and marketplace reviews, because those are the prompts engines are answering and the sources they synthesise from.
- Answer first, structure clearly. Give each page a direct answer near the top, clean headings, and a scannable structure so a model can lift a clean passage.
- Add citable facts. Include named statistics, sourced claims, and short quotes, the elements the Princeton GEO study found lift inclusion rates.
- Strengthen your entity and reputation signals. Make sure your brand, products, and category are described consistently across your site and the third-party places engines read, so the model trusts what it finds.
- Measure and re-run monthly. AI answers change as models and sources update, so track citation frequency and sentiment over time rather than treating the audit as one-off.