GEO, AEO, AI SEO
What the terms mean, and which one your buyers type.

Three acronyms showed up in the same eighteen months, and most of the articles explaining them were written to rank, not to clarify. They do describe different things, but the differences are smaller than the vocabulary suggests — and the vocabulary matters mostly because it tells you what your buyers are actually typing.

The short definitions

GEO — generative engine optimization. Getting cited and recommended inside generated answers: ChatGPT, Perplexity, Gemini, Claude, Google's AI Overviews. The unit of success is a citation, not a ranking.

AEO — answer engine optimization. Being the source an answer is built from, whether that answer appears in an AI Overview, a featured snippet or a voice assistant. Older than GEO, broader, and more concerned with question-shaped content.

AI SEO. Used two completely different ways, which is why it is the messiest of the three: sometimes it means optimizing for AI answers, sometimes it means using AI tools to do ordinary SEO faster. When a prospect says "AI SEO", ask which one they mean.

Where they overlap

All three sit on the same foundation, and anyone selling them as separate disciplines is selling you three invoices for one job:

• A site machines can crawl, render and parse.
• Content that answers a real question directly, early, and in plain language.
• Facts about your company that check out across the places models read.
• Schema that tells a machine what it is looking at.

The genuine difference is emphasis. Classic SEO fights for a position in a list of ten. GEO and AEO fight to be the source quoted when there is no list — which rewards being specific, being quotable, and being corroborated somewhere other than your own homepage.

What people actually search

This is where the naming debate stops being academic. US search volume, pulled from Google Ads data through DataForSEO in October 2026, with keyword difficulty on a 0–100 scale:

Two things jump out.

First, the informational terms carry the volume and the competition. Everyone racing to define GEO is fighting over difficulty 43–54, which is a real fight.

Second, the commercial terms — the ones a buyer types when they have decided to hire someone — carry almost no competition at all. Difficulty 0 to 24, against cost-per-click figures between $35 and $67. Advertisers are paying a fortune for clicks that nobody has bothered to earn organically.

If you sell this work, that asymmetry is the whole strategy: write the service pages first, then the explainers.

So which term should you use?

Use the one your buyer uses, and define it on the page. "Generative engine optimization" has the volume and is becoming the default in the industry. "AI visibility" is what non-specialists say when they describe the problem — it is also the phrase we hear most on first calls. "AEO" reads as more established and slightly more technical.

What matters less than the label: whether you can show, month over month, that a fixed set of buyer prompts now returns your name. If a provider cannot show you that, the acronym on the proposal is decoration.

One caveat on all of these numbers: search volumes for terms this young swing hard. "What is generative engine optimization" is up 392% year over year. Treat the table as a snapshot of October 2026, not a constant.