What is AEO?

Key takeaways

• AEO earns a citation. SEO earns a position. A page can rank on page one and never be quoted in an answer.
• GEO, generative engine optimization, is the same discipline under a different name. Buyers use both words.
• Being named is only half of it. What the engine says about you is the other half, and it is often stale or lifted from a competitor.
• Third-party corroboration does the heavy lifting. Engines trust sources that are not you.
• You do not need new file types. Google has been explicit that no special AI file is required to appear in its AI features.

The difference between ranking and being cited

A ranking is a position in a list. A citation is your name appearing inside a written answer, usually with a clause explaining why you belong there. The second is a much smaller space: an engine names three to five companies, not ten blue links, and it does so before the buyer has visited anyone’s website.

This is why teams with healthy rankings discover they are invisible in AI answers. The dashboards measure a different thing. Nothing is broken, exactly; the instrument is pointed at the wrong surface.

What actually moves an AI answer

Four things, roughly in order of how much they matter:

1. Third-party corroboration. Engines weight sources they did not get from you: editorial roundups, review platforms, forum threads, press. If nobody independent mentions you, an engine has little reason to.
2. Retrievable structure. Answers are assembled from passages. A page an engine can lift a clean, self-contained paragraph from beats a beautifully written page that only makes sense read end to end.
3. Entity clarity. The engine has to be confident about who you are. Consistent naming, schema and a resolvable identity across the web make you easier to name without hedging.
4. Technical access. Crawlable, server-rendered, honest status codes. This is the floor rather than the work, but it fails silently and more often than people expect.

The part most people miss: what the engine says about you

Absence is the obvious problem. The subtler one is inaccuracy. Engines summarise from whatever they find, which means an out-of-date price, an old positioning line, or a comparison page written by a competitor to flatter themselves can become the description a buyer reads.

That is closer to reputation management than to search. It is also fixable, but not by publishing another blog post that contradicts it. You have to find and correct what the engine is actually reading, then give it a current, machine-readable version of the facts.

The off-site surfaces that actually get you cited

Because most citation signal lives off your own domain, it is worth knowing which surfaces engines lean on. Roughly in order of leverage:

1. Independent listicles and roundups. The "best X for Y" articles your buyers read. Inclusion here is the highest-leverage single move, because these pages are written to be cited and are structured as exactly the answer the buyer asked for.
2. Reddit and community threads. Reddit is among the most-cited domains in AI answers. A genuine, useful presence pays off. Dropping your brand name into threads does not, and can backfire.
3. Review platforms. G2, Capterra and TrustRadius for software, plus whichever review surface your specific category actually uses. Real reviews there feed AI answers directly.
4. Reputable publishers and industry press. A mention in a credible article carries weight your own homepage never will.
5. Entity anchors. Wikipedia, Wikidata and Crunchbase help engines resolve who you are, which is a precondition for being recommended at all.
6. YouTube. Increasingly cited, particularly for how-to and comparison queries. Being featured and publishing your own both count.

What AEO is not

• It is not a new file you upload. llms.txt is cheap hygiene at most: Google has said no new machine-readable files are needed to appear in AI features, and independent monitoring found AI bots hit llms.txt on roughly 0.1% of requests.
• It is not keyword stuffing for robots. Answers are assembled from passages that read well to a person.
• It is not guaranteed. Nobody controls the engine. Any agency promising a citation is selling certainty it does not have.
• It is not measurement. A dashboard telling you that you are absent is not the same as work that fixes it.

How to tell whether you have an AEO problem

Twenty minutes, no tools required.

1. Write down the ten questions a real buyer would type when they do not yet know your brand.
2. Ask them in ChatGPT, Claude, Perplexity and Google AI Mode.
3. Record who gets named, and what is said about them.
4. Then check what is said about you where you do appear. Is the price right? The positioning current?
5. Repeat monthly. One reading is a snapshot; the trend is the signal.

Where to start

If you are absent entirely, the fastest lever is usually third-party: getting into the roundups and sources engines already read for your category. If you are named but described wrongly, that is reputation work and it starts with finding the source. If neither, check the technical floor before spending on content.

Ante does this as its whole product rather than as a service line, at a published $6,000 a month. If you would rather start by finding out where you stand, the free AEO report covers the same ground.

Frequently asked questions

What does AEO stand for?

Answer Engine Optimization. It is the practice of getting your brand named, accurately, inside the answers AI engines such as ChatGPT, Claude, Perplexity and Google AI Overviews write, rather than ranked in a list of links beneath them.

What is the difference between AEO and SEO?

The unit of success. SEO earns a position in a results page; AEO earns a citation inside a written answer. They share a technical foundation, crawlability, schema and site structure matter for both, but the work that produces citations, entity resolution, passage-level structure and third-party corroboration, is not what a rank tracker measures.

Is AEO the same as GEO?

In practice yes. Generative engine optimization and answer engine optimization describe the same job. The vocabulary has not settled, so buyers search both, and an agency that only markets under one term is invisible for the other.

Do I need an llms.txt file for AEO?

It is cheap hygiene, not a lever. Google has stated plainly that you do not need to create new machine-readable files to appear in its AI features, and independent monitoring found AI bots requested llms.txt on roughly 0.1% of requests. Add it because it costs an hour, but treat anyone selling it as the work with suspicion.

How long does AEO take to work?

Plan on a quarter before the picture is clear. Foundations land first, content and third-party placement second, and citations follow once engines have re-read the sources. If you already have a content base and some reputation online you should see movement sooner. Third-party placements often move an answer fastest, because engines re-read those sources frequently.

How much does AEO cost?

Most agencies quote on request. Where prices are public, boutique engagements run roughly $3,000 to $7,000 per month, mid-tier $7,000 to $15,000, and enterprise above that. Ante publishes $6,000 per month. The comparison that matters is not agency versus tool, it is agency versus a tool subscription plus the salaried hours of someone able to act on the readings.

Can I do AEO myself?

Some of it, yes. Checking what engines say about you, fixing obvious technical problems, correcting stale facts and adding schema are all within reach of a competent in-house marketer. The parts that are hard to do alone are sustained third-party placement and the discipline of measuring the same prompts every month. Those are where agencies earn their fee, and where a tool alone will not help.

Which AI engines matter most?

It depends on your buyers, which is why measuring is worth more than assuming. Broadly, ChatGPT carries the most consumer and general-business volume, Perplexity over-indexes on research-heavy buyers, Claude appears more in technical and professional contexts, and Google AI Overviews reach anyone still starting at Google. Measure all four rather than optimising for the one you personally use.