GEO vs AEO: Two Names, One Job — Getting AI to Cite You

If you have spent any time reading about AI search lately, you have met both acronyms. One article tells you to invest in GEO — Generative Engine Optimization. The next swears the future is AEO — Answer Engine Optimization. Some throw in LLMO or "AI SEO" for good measure. Different vendors plant flags on different terms, and if you are trying to figure out what to actually do, the alphabet soup is doing you no favors.

Here is the short version: they describe the same job. Making your website legible, trustworthy, and quotable to AI systems, so that when ChatGPT, Perplexity, Claude, or Google's AI answers a question in your space, you are the source it cites.

The longer version is worth five minutes, because knowing where each term came from helps you read the industry — and stops you from paying twice for the same advice under two names.

Where the two terms came from

AEO is the older sibling

"Answer Engine Optimization" predates the ChatGPT era. The term grew up around featured snippets and voice assistants — the moment Google started answering questions directly at the top of the results page, and Siri or Alexa started reading a single answer aloud. Optimizing to be that one answer was AEO. When AI chatbots arrived and began answering questions in full paragraphs, the term got a second life: the "answer engines" just got a lot more talkative.

GEO came out of a research paper

"Generative Engine Optimization" has an unusually precise birthday: a 2023 academic paper by researchers from Princeton, Georgia Tech, IIT Delhi, and the Allen Institute for AI (published at KDD 2024). They coined the term, built a benchmark of 10,000 queries, and measured which content tactics actually increased visibility in AI-generated answers — finding that things like citing sources, adding statistics, and quotable phrasing could boost visibility by up to 40%. The industry adopted the word almost overnight.

So: AEO grew out of the snippet-and-voice era, GEO out of the LLM era. Two histories, one destination.

Is there any real difference?

Some practitioners draw a line, and it goes roughly like this:

• AEO focuses on being the direct answer — the concise, extractable response to a specific question. Think featured snippets, voice answers, and the one-line replies AI gives to simple queries.
• GEO focuses on influencing generated, synthesized answers — the multi-source paragraphs AI produces for complex questions, where your goal is to be cited and woven into the response.

It is not a meaningless distinction. But here is the practical truth: the work overlaps almost completely. Whichever term you optimize for, you end up doing the same things:

• Structuring content with clear headings that match real questions
• Putting the answer in the first paragraph, not the third
• Adding schema markup so machines know what they are reading
• Making specific, verifiable claims instead of marketing fog
• Keeping your content crawlable without JavaScript
• Building brand mentions beyond your own domain

If a consultant tries to sell you a GEO package and an AEO package, ask what is actually different between the two. The honest answer is usually "the invoice."

Which term should you use?

Whichever one your audience uses. That is the whole game. Searchers type both, vendors brand with both, and AI systems answer questions about both. At Potatometer we say GEO in the product because it is the term the research community standardized on — but everything we score applies equally if you arrived here searching for AEO. Same checks, same fixes, same goal.

Quick answers

Is AEO the same as GEO?

For practical purposes, yes. AEO emphasizes being the direct answer; GEO emphasizes being cited in generated answers. The optimizations behind both are nearly identical.

Does GEO or AEO replace SEO?

No. Traditional SEO still drives rankings in classic search results, and many GEO/AEO signals (structure, schema, speed, crawlability) are SEO signals too. Think of GEO/AEO as an expansion pack, not a replacement.

How do I know if AI systems can actually read my site?

Test it. Many AI crawlers do not execute JavaScript, so a site that looks rich to humans can be a blank page to machines. A scan that reads your site the way AI crawlers do will tell you in seconds.

Stop debating the acronym, start measuring

The terminology war will sort itself out. What will not sort itself out is your website silently failing the checks both camps agree on — missing schema, buried answers, JavaScript-only content, no llms.txt, vague claims.

Potatometer scores your site on 40+ real SEO and GEO/AEO checks: structured data, content structure, AI crawlability, rendering, and more, with prioritized fixes for whatever it finds. Free, takes 30 seconds, no fabricated scores. Whichever acronym brought you here, the fix list is the same — and it starts with knowing your score.

← Back to Blog