These three terms get used almost interchangeably in a lot of marketing conversations right now, which causes real strategic confusion. They overlap in places, but they're optimizing for genuinely different outcomes, and a plan built for one won't automatically deliver the others.

SEO — Search Engine Optimization

The original discipline: getting your pages to rank highly in a traditional search engine's list of links. The unit of success is a ranked position, and the outcome you're optimizing for is a click — the searcher still has to visit your page to get the information.

AEO — Answer Engine Optimization

Focused on getting your content selected for direct-answer formats: featured snippets, voice assistant responses, "People Also Ask" boxes. The unit of success is being the answer shown directly on the results page or spoken aloud, often without a click at all. AEO predates the current wave of generative AI — it's been relevant since voice search and snippet boxes became common.

GEO — Generative Engine Optimization

The newest of the three: getting your brand cited or paraphrased within an AI-generated, synthesized answer from tools like ChatGPT, Gemini, or Perplexity. The unit of success isn't a position or a snippet — it's whether the model's generated response includes or reflects your content at all, and whether it names you as the source.

Where they overlap, and where they don't

All three reward clear, well-structured, authoritative content — that foundation is shared. But they diverge in what "winning" looks like: SEO wants your link clicked, AEO wants your content read aloud or shown verbatim, GEO wants your claim reflected accurately in someone else's generated summary. Optimizing purely for SEO can actually work against GEO in one specific way — content written to maximize time-on-page and click-through (teasing the answer to earn the click) is exactly the kind of vague, hedged writing that AI models struggle to extract a confident claim from.

Why you need all three, not just one

Treating any one of these as a replacement for the others means leaving an entire channel of discovery uncovered.

The mistake isn't picking the wrong one. It's assuming you only have to pick one.

For the mechanics behind GEO specifically, see what Generative Engine Optimization actually means and how these platforms choose what to cite.