GEO vs SEO vs AEO: What's the difference?
Search has never been one thing. SEO helps you rank in results pages. AEO helps you become the extracted answer — featured snippets, voice, AI Overviews. GEO (generative engine optimization) helps you get cited and recommended inside AI-generated answers on ChatGPT, Perplexity, Gemini, and Claude. They're related, but they're not the same — and in 2025, all three matter.
SEO: rank in the results page
Search engine optimization is the oldest discipline in the group. Its goal is to make your pages rank prominently when someone searches a keyword on Google or Bing. Success means a high position on the results page and clicks through to your site.
SEO's tactics are well established: technical hygiene (crawlability, Core Web Vitals), on-page signals (keyword relevance, structured data), and authority earned through backlinks and brand mentions. It remains the foundation of organic digital marketing — and the two newer disciplines build on top of it, not around it.
The limit of SEO is that it only helps when someone runs a search. It doesn't govern what happens when they ask an AI engine a question instead.
AEO: become the extracted answer
Answer engine optimization emerged as Google began extracting direct answers from pages to serve in featured snippets, voice assistants, and AI Overviews. The goal of AEO is to structure your content so that engines can pull it verbatim — a concise, authoritative answer that gets surfaced above the regular results.
AEO tactics center on question-and-answer formatting, FAQ schema markup, clear definitions at the top of sections, and content that directly answers the exact phrasing of common queries. If your page can be quoted directly, it may get quoted.
AEO and GEO overlap more than SEO and GEO do. But AEO targets extraction from static pages, while GEO targets synthesis across multiple sources. As AI-generated answers displace traditional featured snippets, AEO is increasingly being absorbed into the broader discipline of GEO.
What is GEO (generative engine optimization)?
Generative engine optimization is the newest of the three. Its goal is to make your brand the one that AI models mention, cite, or recommend when someone asks a buying question on ChatGPT, Perplexity, Gemini, or Claude.
GEO matters because AI-generated answers are becoming the new front page. Instead of scanning a list of links, users ask a direct question and receive a synthesized, curated shortlist. If your brand isn't in that shortlist, the potential customer may never learn you exist. There's no second page to scroll to.
The tactics differ from SEO. AI models are trained on web data and updated through real-time retrieval. Being cited means being trustworthy and authoritative across multiple independent sources, clearly answering the questions buyers actually ask, appearing on the platforms and directories AI engines read, and having your core claims consistent and verifiable.
GEO is not about gaming any single model. It's about building the kind of documented, credible presence that AI engines converge on when forming their answers.
SEO vs AEO vs GEO at a glance
| Dimension | SEO | AEO | GEO |
|---|---|---|---|
| What you optimize for | Page rankings in results pages | Extracted snippets and direct answers | Mentions, citations, and recommendations in AI answers |
| Where you appear | Google / Bing results pages | Featured snippets, voice, AI Overviews | ChatGPT, Perplexity, Gemini, Claude responses |
| Success metric | Rankings and organic click-through rate | Snippet capture rate | Mention rate, citation rate, recommendation rate |
| Typical tactics | Keywords, backlinks, technical hygiene | Q&A formatting, FAQ schema, concise definitions | Authority across sources, structured brand claims, directory presence |
| Works when user… | Runs a keyword search | Asks a direct question on Google | Asks a buying question on any AI engine |
Which do you need?
The short answer: all three, starting with SEO. These disciplines stack rather than compete. SEO remains the foundation — without indexed, crawlable pages and domain authority, neither AEO nor GEO has much to work with. AEO builds on SEO by making your best answers structurally easy to extract. GEO builds on both by ensuring AI engines have credible, consistent signals about your brand across the wider web.
That said, if you're asking where buying decisions are being made right now, the answer is increasingly AI engines. Searches on ChatGPT, Perplexity, and Gemini are not hypothetical — your potential customers are already using them to evaluate vendors, compare options, and decide whom to contact. GEO is where those decisions happen.
AEO is worth addressing as part of GEO work. The same structured, question-answering content that helps you win featured snippets also gives AI engines clear, citable answers. Think of AEO as GEO's near-cousin: increasingly hard to separate, and largely addressed by the same content improvements.
How our free scan measures your GEO readiness
Our free AI visibility scan tests your brand across ChatGPT, Perplexity, and Gemini using real buying questions from your category. For each engine, we record whether your brand is mentioned, whether it's cited as a source, and whether it's actively recommended — the three levels of AI visibility that determine your GEO performance.
The result is a 0–100 score built from six diagnostic dimensions: mention rate, citation rate, recommendation rate, competitor comparison, multi-engine consistency, and answer depth. Each dimension tells you something different about where you stand and what to fix first.
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New to AI visibility? Start here: What is AI visibility?