The difference at a glance
| SEO | AEO | |
|---|---|---|
| Goal | Rank in a list of links | Be named and cited in the AI answer |
| Surface | Google and Bing results pages | ChatGPT, Perplexity, Google AI Overviews |
| Unit of success | Position (rank) | Citation and mention |
| Optimizes | Keywords, backlinks, page speed | Entities, citations, quotable structured content |
| Click model | The user clicks your link | The AI summarizes; often zero-click |
| Measured by | Rankings and organic traffic | Citation share and mentions across engines |
What is SEO?
Search Engine Optimization is the practice of ranking your pages in a list of results on Google or Bing. It rewards keywords, quality backlinks, clean technical structure, and page experience. The prize is a high position and the click that follows.
What is AEO?
Answer Engine Optimization is the practice of being the company an AI answer names and cites. Instead of a ranked list, an answer engine returns one synthesized response that mentions a handful of sources. AEO rewards a clear entity, credible third-party citations, and quotable, well-structured content that models can lift.
Glossary: AEO, GEO, AI SEO, LLM SEO
These terms get used loosely and interchangeably across the industry. Here is what each one usually means, so you can read past the branding:
- SEO (Search Engine Optimization)
- Optimizing pages to rank in a list of links on Google or Bing. Rewards keywords, backlinks, technical structure, and page experience.
- AEO (Answer Engine Optimization)
- Optimizing to be named or cited inside a synthesized AI answer, rather than ranked in a list. Rewards entity clarity, third-party evidence, and quotable content.
- GEO (Generative Engine Optimization)
- Near-synonym for AEO used by some vendors and researchers — optimizing content and entities so generative models surface and cite your brand. Rothenhall treats AEO and GEO as one discipline; if a source distinguishes them, GEO usually emphasizes the generative model's training-time memory and AEO the live answer surface.
- AI SEO / LLM SEO / "answer optimization"
- Informal, overlapping terms marketers use for the same general practice as AEO/GEO. There is no standardized industry line between them — when you see one, check whether the author means entity/citation work (AEO-style) or classic keyword SEO applied to AI-era queries.
Is SEO still worth it?
Yes. Classic SEO still drives traffic, and the pages that rank often become the very sources an AI answer cites. SEO builds the corpus AEO draws from. The mistake is stopping at the ranking, when the buyer never sees the list because the AI answered for them.
How AEO and SEO work together
Treat them as one system. Strong SEO gets your content indexed and trusted; strong AEO shapes that content into answers, reinforces your entity, and earns the external citations that make an AI confident enough to recommend you. One without the other leaves value on the table.
How to measure AEO progress
Unlike SEO, there is no standard rank tracker for AI answers. Build a lightweight measurement panel instead:
- Query coverage. Share of your tracked prompts where the brand appears at all.
- Mention rate. Share of sampled answers that name your brand.
- Citation rate. Share of answers that link to a source you control.
- Competitor share. Your appearances relative to the total across a defined competitor set.
For the full framework and attribution model, see how to measure AI search ROI.
How to start with AEO
Establish an unambiguous entity, publish answer-shaped content mapped to the exact questions buyers ask, and earn third-party citations that reinforce the same associations. For the step-by-step, see how to show up in ChatGPT, or the platform-specific guides for ChatGPT and Perplexity. For a full definition of the discipline, read what is AEO.