Short answer

AEO vs GEO: Two Names for the Same Job

Answer engine optimization and generative engine optimization describe the same job: getting into the answer an AI gives. The difference is mostly history. Here's what each term means, where they split, and the number worth tracking instead.

The short answer

AEO vs GEO is mostly a naming fight. Answer engine optimization (AEO) and generative engine optimization (GEO) both describe the same job: getting your business into the answer an AI tool gives, instead of a list of links. The work underneath is nearly identical, so pick a term and spend your energy on what you measure.

Here's where each name came from, where they actually differ, and the number that matters more than either label.

Where the two names came from

AEO is the older idea. It grew out of the work of winning Google's featured snippets and voice assistant replies: write a short, direct answer a machine can lift out whole. Similarweb's guide to the two terms puts AEO's roots in featured snippet optimization (February 2026).

GEO is the newer name. It comes from an academic paper, "GEO: Generative Engine Optimization" by Pranjal Aggarwal and colleagues, first posted November 16, 2023. The paper framed it as helping content creators improve their visibility inside the responses generative engines write.

AEO vs GEO: where they actually differ

The real difference is scope, and it's small.

  • AEO aims at one extracted answer: the snippet, the voice reply, the box at the top. Its unit is a question and a two-sentence answer.
  • GEO aims at answers an AI writes from several sources at once, like ChatGPT or Google's AI Overviews. Its unit is whether you get cited or named in that answer, and a lot of it depends on what other sites say about you.
  • Many vendors use the two words for the same service. If two proposals differ only in which acronym they lead with, they're the same proposal.

The work is one list

Strip the labels and you get one plan. Let the crawlers in. Answer the buyer's question in the first two sentences of a page. Describe your business the same way everywhere. Mark up what each page means with schema. Earn mentions on the sites engines already trust.

Google backs the unglamorous version. Its guidance on AI features says there are no additional requirements to appear in AI Overviews or AI Mode, and no special optimizations necessary (Google Search Central, updated December 10, 2025).

The number that matters more than the label

We measured how often home services sites make it into Google's AI answers. In the LVL3 Home Services Growth Index, we looked at the 397 operators that rank for at least 50 searches showing an AI Overview (Semrush data, October 20, 2026). Half of them rank for 385 or more of those searches. The median operator is a linked source in about 4.5% of the Overviews its keywords trigger. That's roughly one in 22.

That's the gap, and no acronym closes it. The AI answer already sits on hundreds of searches these companies rank for, and most of the time they aren't one of its sources.

Bigger operators do better. The median rate in the top traffic third of the index is about 5.7%, against 2.7% in the bottom third. That's a correlation, not proof that size causes it. Our read is that AI citation tracks the same foundations SEO builds, which is why we don't run GEO as a separate discipline. It shares those foundations and adds its own measurement on top.

Which term should you use?

Use the one your team and your buyers already say. We use GEO, because it names the part that's new: answers an AI writes from many sources. But a plan isn't better because of its acronym. Ask any AEO or GEO vendor these four questions instead.

  • Which questions will you track, and how often? A fixed list, asked on a schedule, is the only way to see movement.
  • What's my baseline? Get it in writing before any work ships.
  • Which engines? Google's AI Overviews and ChatGPT search use different crawlers, so one engine's score can't stand in for the other's.
  • What did this do for a client, with dates and a source?

What it looks like in practice

True Food Kitchen is the example we can name. Each of its 45 location pages got its own neighborhood copy and a nine-question FAQ, built on one shared frame. Non-brand keywords in Google's top ten went from 1,752 to 2,936 between January and August 2026 (Google Search Console and Semrush). Call it AEO or call it GEO. It was the same work.

Sources

  • The LVL3 Home Services Growth Index 2026: 397 local operators with at least 50 AI Overview keywords, Semrush AI Overview data, October 20, 2026. Rate is Overviews citing the site over Overviews its ranking keywords trigger.
  • Aggarwal and colleagues, "GEO: Generative Engine Optimization," arXiv 2311.09735, submitted November 16, 2023.
  • Similarweb, "AEO vs. GEO: What's the Difference (and Which One Matters Most in 2026)?" Limor Barenholtz, February 25, 2026.
  • Google Search Central, "AI features and your website," last updated December 10, 2025.
  • OpenAI, "Overview of OpenAI Crawlers," developers.openai.com/api/docs/bots, accessed October 26, 2026.
  • True Food Kitchen case study: Google Analytics 4, Google Search Console and Semrush, February 15 to August 13, 2026, non-brand keywords compared across the January and August exports, published with the client's written approval.

Find out how you actually show up in AI answers.

You just read the method. A systems audit runs it on your business: a citation baseline on your own buying questions, plus the entity and citation gaps behind it. You get the findings either way.

Let's talk.