What is AEO? AEO vs SEO vs GEO, explained
Three acronyms now show up in every conversation about search: SEO, AEO and GEO. They sound like competing disciplines. They are not. They are three descriptions of how buyers find you, written at different moments in how search has changed.
This is a plain-English guide to what each one means, how they differ, and what an eCommerce or DTC brand should actually do about it.
What is AEO?
AEO stands for answer engine optimization. An answer engine is any system that responds to a question with a written answer instead of a list of links: ChatGPT, Google’s AI Overviews and AI Mode, Gemini, Perplexity, Microsoft Copilot, and the voice assistants before them.
AEO is the work of making your brand the one those systems name, describe accurately and cite as a source. When a buyer asks “what is the best protein coffee for runners?” the answer names a handful of brands. AEO decides whether yours is one of them, and whether what the engine says about you is right.
What is generative engine optimization (GEO)?
GEO stands for generative engine optimization. The term comes from the research community, where it was used to describe optimizing content for engines that generate answers with large language models.
In practice, AEO and GEO describe the same goal. AEO emphasizes the question and answer; GEO emphasizes the generative technology underneath. You will also see AI SEO, LLM optimization (LLMO) and AI search optimization used for the same thing. Pick the term your team understands and move on. The work does not change with the label.
What is the difference between AEO and SEO?
Classic SEO competes for a position on a results page. The buyer still sees ten options, clicks a few, compares and decides. AEO competes for a place inside one synthesized answer, where the engine has already done the comparing and names only a few brands, often with a reason attached.
| SEO | AEO / GEO | |
|---|---|---|
| Where you compete | A ranked list of links | A single written answer |
| What you win | A position and a click | A mention, a recommendation and a citation |
| Unit of work | A page targeting a keyword | A clear answer to a specific question |
| Main signals | Relevance, links, technical health | Clarity, consistency across sources, third-party corroboration |
| What matters off your site | Backlinks | Mentions in reviews, roundups, marketplaces and communities |
| How you measure it | Rankings, clicks, organic traffic | Share of answer, citations, AI referral traffic |
The biggest practical difference is the last row. SEO has decades of mature tooling. AEO is measured by asking the engines a fixed set of buyer questions on a regular cadence and recording who gets named. The short version is in our guide to the Answer Layer.
What stays the same?
More than most AEO pitches admit. The engines that search the web live still need to crawl your pages, understand them and trust them. So the SEO fundamentals carry straight over:
- Crawlable, fast pages that render their content without heavy scripts.
- Clear structure: descriptive headings, one topic per page, and schema markup that labels products, FAQs and the organization.
- Genuine authority: other credible sites referencing you.
A brand with a weak technical foundation will struggle in both. That is why we treat AEO as a layer on top of good SEO, not a replacement for it.
What changes with AEO?
Three things change, and they are where most brands are behind.
Answers first. Pages need to answer the buyer’s question in the first sentence or two, then back it up with specifics. A product page that opens with brand storytelling and buries the size, price and use case is hard for an engine to quote.
Consistency across sources. Engines look for the same facts in more than one place. If your site, your Amazon listing, your retailer pages and your reviews describe the product differently, the engine has less confidence and is less likely to repeat any of it.
Off-site corroboration. For product questions, AI answers draw heavily on review sites, editorial roundups, marketplace listings and community threads like Reddit. If your brand is missing from those, on-site work alone will not close the gap. We go deeper on this in how eCommerce brands get recommended by ChatGPT, Gemini and Perplexity.
Does an eCommerce brand need AEO?
If your buyers research before they buy, yes. Comparison and “best for” questions are exactly the ones people now take to AI assistants, and those are the questions closest to a purchase. A brand that is absent from those answers is invisible at the moment of decision, however well it ranks on Google.
The good news is that most brands are starting from the same place. Few have measured what the assistants say about them, and the work compounds: the answers, structure and third-party mentions you build keep paying back.
A sensible first step is a baseline. List the 30 to 50 questions buyers ask in your category, run them through ChatGPT, Gemini and Perplexity, and record who is named and which sources are cited. That shows you where you stand and what to fix first. It is the starting point of the Answer Layer work we run for brands.
Frequently asked questions
Is AEO the same as GEO?
Yes, for practical purposes. AEO (answer engine optimization) and GEO (generative engine optimization) both describe getting a brand named and cited in AI-generated answers. The difference is emphasis, not method.
GEO vs SEO: what is the difference?
SEO competes for a position in a list of links. GEO competes for a place inside a single generated answer, where there is no list and usually only a handful of brands get named. The foundations overlap, so GEO is not a replacement: crawlable pages, clear structure and real authority still matter. What GEO adds is question-first content, facts that stay consistent across every source an engine checks, and a different measure of success — whether the brand is named and cited rather than where it ranks.
Does AEO replace SEO?
No. AEO builds on SEO. Crawlable pages, clear structure and real authority matter to both. AEO adds question-first writing, consistency across sources and tracking of AI citations.
Which AI engines does AEO cover?
The main ones are ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity and Microsoft Copilot. They draw on different sources, so it is worth measuring each one separately.
How do you measure AEO?
Ask a fixed set of buyer questions across the major AI assistants every month and track how often your brand is named, how it is described, which competitors appear instead, and which sources are cited. Pair that with AI referral traffic in your analytics.
How long does AEO take to work?
Engines that search the web live, such as Perplexity and ChatGPT with search, can pick up new or improved pages within weeks. What a model learned in training changes more slowly, with new model releases. Plan in quarters and measure monthly.