AEO vs SEO vs GEO: What Each One Means and Which You Need

Why there are three terms for one problem

Marketing has a habit of naming each new surface separately. Search engine optimization (SEO) came first. Answer engine optimization (AEO) appeared when Google started showing featured snippets and voice assistants started reading answers aloud. Generative engine optimization (GEO) was coined after ChatGPT, when researchers and agencies needed a word for showing up in answers written by large language models.

The terms overlap more than the acronyms suggest. If you are hiring help or writing a strategy, it is more useful to understand what each one is trying to achieve than to argue about the labels.

The three disciplines in one table

SEO: still the floor

Every answer engine that cites sources starts by retrieving pages from a search index. Google AI Overviews draw on Google's index. ChatGPT search uses OpenAI's crawler alongside third-party search providers. Perplexity runs its own index. If your pages are hard to crawl, slow, duplicated or poorly linked internally, they are less likely to make it into the candidate set at all.

So the dull parts of SEO keep paying: a clean sitemap, sensible canonical tags, working internal links, reasonable page speed and content that matches what people search for. Cutting SEO to fund AI visibility is usually a mistake, because you are removing the thing the AI layer stands on.

AEO: winning the passage

AEO is about the moment the engine reads your page and decides whether a specific passage answers the question. Engines prefer passages that make sense on their own, state the answer early, and use concrete numbers, names and steps.

Compare two openings for a page about SOC 2 timelines. The first: "Compliance is a journey, and every organization's path is unique." The second: "A first SOC 2 Type I audit usually takes two to four months from kickoff to report, and Type II adds an observation window of at least three months." Only one of these gets quoted.

• Use headings phrased as real buyer questions.
• Answer in the first 40 to 60 words under each heading, then expand.
• Use lists, steps and tables where the content is genuinely list- or table-shaped.
• Mark up FAQs, services, products, articles and authors with schema.
• Keep dates visible and update pages when facts change.

GEO: winning the recommendation

When someone asks ChatGPT "which agencies are good at Shopify migrations?", the model is not only reading your service page. It is drawing on everything it has learned and retrieved about you: reviews, directory listings, articles that compare providers, forum threads, and how consistently all of these describe you.

That is why GEO work looks a lot like reputation management and digital PR. You want accurate, consistent facts about your company in the places engines trust, and you want independent sources to say what you would like the engine to repeat. A brand that only talks about itself on its own site is hard for a model to recommend with confidence.

A useful test: if a well-read human analyst could not confidently recommend you from public information alone, a language model probably cannot either.

So are AEO and GEO the same thing?

Close enough that you should not pay twice. Some people use AEO for the structural, on-page work and GEO for the reputation and mention work. Others use one term for everything. What matters is that the plan covers both halves: making your own pages easy to quote, and making the wider web agree about who you are.

How to decide where effort goes first

Start with evidence rather than opinion. Three checks give you enough to set priorities:

1. Technical baseline. Can AI crawlers reach and read your key pages? Do you have schema, clear headings and fast responses? Our free AI Visibility Score covers this in about a minute.
2. Answer audit. Take 30 questions buyers ask before they purchase. Run them in ChatGPT, Perplexity and Google. Note who gets mentioned and which URLs get cited.
3. Search baseline. Look at your Search Console data for the same topics. Are you ranking and being clicked, or only showing impressions?

If crawlers are blocked or pages are thin, fix that first; it is quick and everything else depends on it. If you rank well but never get named in AI answers, put more into answer-first rewrites and third-party mentions. If you are invisible everywhere, start with SEO fundamentals and a small set of very strong pages, and build outward.

Measuring all three without drowning in dashboards

A simple monthly scorecard works better than ten tools. Track organic clicks and rankings for core topics (SEO), citation rate on a fixed prompt set (AEO), and mention rate and share of voice against three competitors (GEO). Keep the prompt set stable so month-on-month changes mean something, and add new prompts in a separate group.

AI answers vary from run to run, so treat any single result as anecdote. Run each prompt several times, across engines, and look at the trend. A rise from being named in 2 of 30 answers to 9 of 30 is meaningful. One lucky screenshot is not.