AEO vs SEO vs GEO: what's the difference?

Short answer: SEO is optimizing to rank as a link. AEO — answer engine optimization — is optimizing to be the answer that gets read back. GEO — generative engine optimization — is optimizing to get named inside AI-generated text. The differences are real but narrower than the acronyms suggest: on Google, all three run through the same index, and the work that earns a ranking is mostly the work that earns a citation. If a vendor is quoting you three separate line items, they are selling you three names for one job.

We build these sites for a living, so we're supposed to talk the terms up. Here's the version with the marketing removed.

What each term actually means

GEO is the only one of the three with a traceable origin. The term was coined in a research paper accepted to KDD 2024, the ACM SIGKDD conference. The authors built a 10,000-query benchmark, tested nine ways of rewriting a page, and measured which ones changed how often a generative engine cited it.

Two findings are worth an agent's attention. Adding quotations and adding statistics each produced relative visibility improvements in the 30–40% range on their metrics. Keyword stuffing — the tactic a certain kind of SEO package still quietly runs on your pages — offered, in their words, "little to no improvement." That's a controlled benchmark, not a promise about your county, but the direction matches everything else we see: engines reward material they can quote and verify.

Does GEO replace SEO?

No, and the reason is plumbing, not philosophy.

Google's guide to optimizing for generative AI features states the dependency outright: "To be eligible to be shown in generative AI features on Google Search, a page must be indexed and eligible to be shown in Google Search with a snippet." A page that can't be indexed can't be quoted. Google goes further and rejects the framing entirely — "From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO."

Non-Google engines work the same way at the plumbing level. Before ChatGPT or Perplexity can name your agency, something has to have fetched your pages. OpenAI documents separate crawlers for separate jobs — OAI-SearchBot exists to "surface websites in search results in ChatGPT's search features," while GPTBot crawls content that may be used for model training. Perplexity documents the same split: PerplexityBot exists "to surface and link websites in search results on Perplexity" and is explicitly not used to crawl for foundation models.

So where do they genuinely differ?

Three places — and this is the part that isn't just relabeling.

The unit of success changes. SEO's win condition is a click. AEO's and GEO's is being the source behind an answer the user may never click through from. Pew Research Center, analyzing the browsing data of 900 U.S. adults in March 2025, found that users clicked a search result 8% of the time when an AI summary was present, versus 15% when it wasn't. Same page, roughly half the clicks. If your only measure of a website is sessions, an improving AI presence can look like a decline.

The competition set changes. A ranking is one of ten slots. Pew found that 88% of the AI summaries in their sample cited three or more sources — so the citation pool is smaller and harder to enter, but a good deal less crowded once you're in it. For a local agent that asymmetry is favorable: national quote sites dominate national questions, and most county-level questions have almost no citable local source at all.

The writing changes. This is the only difference that affects your keyboard. A page built to rank can bury the answer under 400 words of preamble and still do fine. A page built to be quoted cannot — a model lifting two sentences will take the two sentences that answer the question, and if those don't exist as a contiguous block, it takes someone else's. Answer-first structure isn't a style preference here; it's the format.

The honest part about schema and AI files

We publish schema markup on every page we build, so read this as a concession against interest: Google says it isn't required for AI answers. Its guide states that "structured data isn't required for generative AI search, and there's no special schema.org markup you need to add."

Schema still earns its place — it drives rich results in classic search, and it states your license, service area and lines of business unambiguously for any parser that reads them. Our page-by-page schema map covers which types go where. What it isn't is a ticket into AI answers, and anyone selling "GEO markup" as the thing that gets you into ChatGPT is charging for a claim the search engine has publicly contradicted.

What an agent should actually do, in order

The dependencies run in one direction, so the to-do list does too:

1. Confirm you aren't blocking the crawlers. Open youragency.com/robots.txt. If GPTBot, OAI-SearchBot, ClaudeBot, or PerplexityBot are disallowed, nothing below this line matters. Highest-consequence, lowest-effort item on the list.
2. Be indexable. Pages return 200, aren't blocked by noindex, load on a phone, and appear in your sitemap. This is the SEO layer — and the eligibility requirement for the other two.
3. Rewrite your key pages answer-first. Question as the heading, complete answer in the first two sentences, detail after. Do this for the questions clients actually ask you on the phone, not the ones a keyword tool suggested.
4. Add the specifics only you can supply. Your counties by name, your carrier lineup, your license and NPN, what you charge, how you're paid. The study above found citations and statistics moved the needle; generic reassurance never has.
5. Then structure it. Schema, a clean sitemap, an llms.txt if you want one. Genuinely useful, genuinely last.

That order is the whole argument of our AEO guide for insurance agents, and it doesn't change based on which acronym is on the invoice. Nobody — us included — can promise you a citation, a ranking, or a lead count. What you control is whether there's anything worth quoting when a model comes looking, and whether you've accidentally locked the door.

Frequently asked questions

What is the difference between SEO, AEO, and GEO?

SEO is optimizing to rank as a link in a search engine's results. AEO, answer engine optimization, is optimizing to be the direct answer a system reads back — a featured snippet, a voice result, or the summary at the top of the page. GEO, generative engine optimization, is optimizing to be named and cited inside an AI-generated answer from ChatGPT, Perplexity, or Google's AI Mode. In practice the three overlap heavily: Google states that its generative AI features are rooted in its core Search ranking and quality systems, so the work that earns a ranking is largely the same work that earns a citation.

Does GEO replace SEO?

No. On Google, the generative AI features draw on the same index as classic search — Google's documentation states that to be eligible to be shown in them, a page must be indexed and eligible to be shown in Google Search with a snippet. That makes GEO downstream of SEO rather than a substitute for it: a page that cannot be indexed cannot be quoted. The same dependency holds on other engines, which have to crawl and store your pages before they can cite them.

Is AEO the same thing as GEO?

Nearly. Both describe optimizing to be the answer rather than a link, and most practitioners use the two interchangeably. The narrow distinction is that AEO is the older term and covers featured snippets and voice assistants as well as AI, while GEO refers specifically to visibility inside text generated by a large language model. Neither term has a standards body behind it, and no search engine officially recognizes either as a discipline separate from SEO.

Do I need special files or schema markup to show up in AI search?

Not for Google. Google's guide to optimizing for generative AI features states that structured data isn't required for generative AI search and there's no special schema.org markup you need to add, and says separately that you don't need to create new machine readable files, AI text files, markup, or Markdown. Schema markup is still worth having, because it states your business facts unambiguously for any parser that reads them and it drives rich results in classic search. It is not an entry ticket to AI answers, and no vendor should sell it as one.

What should an insurance agent do first — SEO, AEO, or GEO?

Check crawler access first, because it is the only item that can zero out every other effort: open youragency.com/robots.txt and confirm you are not blocking GPTBot, OAI-SearchBot, ClaudeBot, or PerplexityBot. Then publish pages that answer the questions your clients actually ask, with the answer in the first two sentences and specifics only you can supply — your counties, your carriers, your license. That sequence covers most of what all three acronyms describe, in the order that the dependencies actually run.