AEO vs GEO: what they are, how they differ, and what happens after an AI sends you a visitor

Who this is for: marketers working on how their brand shows up in ChatGPT, Perplexity, Gemini and other AI assistants.

What you'll learn: what AEO and GEO mean, how they relate to each other and to SEO, what the research says works, and how to measure what AI assistants actually send you.

For most of the last twenty years, your first impression was a search result and then your homepage. Increasingly, it's a sentence an AI assistant wrote, in an answer you never saw, citing sources you didn't choose.

That shift has produced two disciplines with confusingly similar names.

In short: Answer engine optimization (AEO) is about being the source an AI assistant pulls from when it answers a specific question. Generative engine optimization (GEO) is the broader job of being represented well whenever an AI engine talks about your category. AEO is part of GEO. Both are about getting mentioned. Neither tells you what happens next: who clicked through, whether they were serious, and whether they bought. Bread & Butter tracks visits from AI assistants as their own source, scores every visitor on what they did, and shows whether AI traffic brings buyers or just browsers.

Answer engine optimization (AEO)

AEO is the practice of getting your content retrieved and cited when an AI answers a direct question: "what's the difference between X and Y", "which tools do Z", "how does A work".

It rewards content that is easy to lift: a clear question, a clear answer near the top, facts stated plainly, and structure an engine can parse. It's a close cousin of the featured-snippet work SEO teams have done for years.

Generative engine optimization (GEO)

GEO is the wider discipline: influencing how generative engines describe and recommend you across every kind of answer, not only direct questions.

The term comes from a 2024 study by researchers at Princeton and others, published at KDD 2024, which tested what changes a source's visibility in AI-generated answers. Adding citations, quotations from relevant sources and statistics were among the methods that helped most, and the authors report that GEO methods can boost visibility by up to 40% in generative engine responses.

GEO covers the things that make an engine trust you: clear and consistent descriptions of what you do, facts and data points, citations from others, and a reputation the model has picked up across the web.

The difference, in one line

AEO asks: did we get cited for this question? GEO asks: when an AI describes our category, are we in the story, and is the story right?

How they relate to SEO

They don't replace it. AI assistants still draw on web pages, and many use search results to find them. Pages that rank, load quickly and answer questions clearly are the ones engines can use. What changes is the goal: not only a click from a results page, but a mention inside an answer, and sometimes a click from there.

Why it matters for B2B

Buyers now ask an assistant to compare options, summarize a category or check out a vendor before they visit anyone's website. By the time they arrive, they've often already made a shortlist. A visitor who comes from an AI answer usually arrives better informed and closer to deciding than one who clicked a search ad.

The part nobody optimizes: after the click

AEO and GEO win the introduction. They don't tell you anything about the person who acted on it.

Picture someone who read an answer that mentioned you, clicked through and is now on your pricing page. They arrived informed and comparing, and they haven't told you who they are. Your analytics records a session. Your CRM records nothing, because no form was filled in. The most qualified visitor of the week can leave without a trace.

How Bread & Butter measures AI traffic

AI assistants as their own source. In your Traffic Sources, visits from AI assistants such as ChatGPT, Perplexity and Gemini are grouped under GEO / AEO / AI, separate from organic search, referral and direct. Expand it to see the specific referrers. See How do I use the Attribution report to optimize my marketing budget?

Quality, not just volume. Every visitor is scored 1 to 10 on what they did on your site. So you can see not only how many people an assistant sent, but how many were serious, and compare that against search, social and paid. See What is Focused Score and how does it evaluate my traffic?

Their whole journey. A visitor who first came from an AI answer and came back later through search is one person with one journey, and the AI visit gets its share of the credit.

Whether they buy. Once you mark deals Won/Closed, the Attribution Report ranks every source by the customers it brings. That's the real test of your AEO and GEO work: not whether you were mentioned, but whether the mentions brought buyers.

A limit worth knowing: some AI visits arrive without a referrer, for example when someone copies a link out of an answer, and show up as direct. That's true of every analytics tool.

Where to start

  1. Write for the question. For each thing buyers ask about your category, have a page that answers it clearly near the top.
  2. Back up your claims. Cite sources, use real numbers, and quote people who know.
  3. Say the same thing everywhere. Describe what you do consistently on your site, your profiles and your listings.
  4. Measure what arrives. Track AI visits as their own source, and judge them on serious visitors and customers, not clicks.

Common questions

Close. Both reward clear, extractable answers. AEO applies that to AI assistants, which may cite several sources in one answer.

Can I see which AI assistant sent a visitor?

Yes, when the visit arrives with a referrer. Expand GEO / AEO / AI in your Traffic Sources to see the specific referrers.

Is AI traffic better than search traffic?

It depends on your site. The point of measuring it separately is to find out, by comparing the share of serious visitors and customers each source brings.

Sources

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