AEO vs GEO

If you have read more than two articles about AI search, you have hit both acronyms and probably wondered whether you need to budget for two things. You do not. AEO and GEO are two names for the same job, and most of the difference is who is doing the talking.

Where the two terms came from

AEO is the older idea, born when Google started answering questions directly with featured snippets and knowledge panels instead of just listing links. Optimizing to be the source of those answers became Answer Engine Optimization. GEO came later. The name was coined in a 2023 research paper from a team of academics, then Andreessen Horowitz put it in front of the wider industry in 2025 as ChatGPT and AI Overviews took off. So the timeline is simple: answer features first, generative engines second, two labels for one moving target.

What each one claims to cover

On paper, the two terms point at slightly different surfaces. AEO leans toward answer features: snippets, voice results, and the boxes at the top of a results page. GEO leans toward citations inside a generated answer from an LLM like ChatGPT, Claude, or Perplexity. Profound, a company that sells AI-visibility tooling, looked at this distinction and concluded the two are effectively the same thing, and they prefer the AEO label for clarity. The academic GEO paper (Aggarwal et al., 2023) measured the tactics directly and found that adding citations, quotations, and statistics could lift a page’s visibility in generative answers by up to 40 percent. Those are the same moves any AEO checklist already calls for.

Why the work underneath is identical

Here is the part that matters for your budget. Whether you call it AEO or GEO, the page you build is the same page. A clean schema graph so machines can parse your content. Headings followed by self-contained answers a model can lift without distortion. First-party data and quoted sources that signal credibility. Fast, valid HTML. There is no separate GEO codebase and no separate AEO codebase. We have never built a page that wins at one and loses at the other, because the inputs do not differ. When a tactic helps a model cite you, it almost always helps an answer feature surface you too.

When the distinction actually matters

The honest answer is: rarely, and mostly in conversation. If you are reading research or talking to an AI-search vendor, GEO is the precise word and you should use it. If you are explaining the work to a business owner, AEO is clearer and less likely to sound like a fad. The terms are a vocabulary choice, not a service tier. We picked AEO and moved on, and we spend the saved energy on the work itself.

How to tell a provider actually gets this

Ask one question: what would you do differently for GEO than for AEO? A provider who understands the space will give you the honest answer, which is “almost nothing, because the work is the same.” A provider who reaches for a long list is usually building a reason to bill you twice. The tells are quiet. Watch for anyone who frames GEO as a brand-new specialty with its own price tag, or who cannot connect the tactics back to the same schema, structure, and sourcing that good AEO already requires. The vocabulary is worth knowing so you can follow the conversation. It is not worth paying a premium for. When we scope AEO for a client, the deliverables are identical whether the prospect arrived saying AEO, GEO, or just “I want to show up in ChatGPT.”

When neither label should drive your decision

This comparison is not for anyone hoping GEO is a new, separate service worth paying extra for. It is not. If a provider quotes you for “SEO, then AEO, then GEO” as three line items doing different things, ask them to name one concrete task that appears in their GEO scope and nowhere else. The usual answer is silence, because the tasks are shared. The right way to think about it is one discipline with two nicknames, and a provider who treats it that way is the one telling you the truth.