Answer engine optimization: what the term means, and the five things Google says you can skip
AEO is sold as a new discipline with new tactics. Google now publishes its own page on the subject, and five of those tactics are on its list of things you don't need to do. Here is what the word means, how it differs from GEO, and what is left once the list is removed.
awakes.ai editorial ·
What answer engine optimization actually means
Answer engine optimization (AEO) is the practice of getting your business named and linked inside the answer an AI system writes, rather than only in the list of links underneath it. The work is not new: it is search engine optimization aimed at a result that now answers the question instead of listing pages. The name is new, and so is the confidence with which it is sold.
The reason a business owner starts reading about it is usually specific and unpleasant. You ask ChatGPT for a bookkeeper in your city, or a plumber, or a firm that does what you do, and it names four companies. None of them is yours. Nobody chose that. The answer was assembled from what the system could reach and trust, and your company was not in it.
That question is worth answering, and the rest of this article answers it. But the first thing to know is that the vendor whose systems you are trying to appear in has now written down what it wants, and most of what circulates under the AEO label is not on that list.
AEO or GEO: is there a difference?
Short answer: not one you need to care about. In July 2026 Google published a page on optimizing for its generative AI features and defined both terms itself — «"AEO" stands for "answer engine optimization" and "GEO" for "generative engine optimization"» — then placed both inside the discipline you already know: «From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO.»
The vendors agree, including the ones selling the label. Profound, which sells an answer engine optimization platform and ranks on the first page for the term, published a piece in June 2025 titled «AEO vs. GEO: Why they're the same thing», and states it plainly: «Whether you label it AEO, GEO, or just next-gen SEO, the mission is the same.» Meanwhile OpenAI's own documentation for site owners uses neither word, and neither does Microsoft's announcement of its AI citation reporting.
So the choice between AEO and GEO is a choice of signage, not of work. If a proposal treats them as two services with two prices, that is a fact about the proposal, not about search. GEO at least has a traceable origin: the term entered the literature in a November 2023 paper from researchers at Princeton and elsewhere, later published at a major data-mining conference. AEO grew out of the marketing trade with no comparable single source.
Five AEO tactics, next to what Google's documentation says about them
| What AEO guides recommend | What Google's own documentation says | What is worth doing instead |
|---|---|---|
| Publish an llms.txt file so AI systems can read your site properly | Listed under what you don't need to do, as «LLMS.txt files and other "special" markup». Google Search ignores them. | Nothing. Spend the hour on one page that answers a question a customer actually asks. |
| Break your pages into small chunks so models can parse them | «There's no requirement to break your content into tiny pieces for AI to better understand it.» | Structure the page for the person reading it: one page per question, headings that say what follows. |
| Add FAQPage and other schema markup to get picked up by AI answers | «Structured data isn't required for generative AI search, and there's no special schema.org markup you need to add.» | Keep the markup you already have for the search features that do use it. Don't add more in the hope of AI. |
| Rewrite your content in an AI-friendly style, answer-first, model-readable | «You don't need to write in a specific way just for generative AI search.» Rewriting content just for AI systems is on the list of myths. | Answer the question clearly because a customer is asking it. Same sentence, different reason — and the reason is what keeps it useful. |
| Get mentioned across Reddit, LinkedIn and YouTube so the models see consensus about you | «Seeking inauthentic "mentions"» is on the same list of things you don't need to do. | Earn the mention by being worth mentioning: real work, real customers, a page that answers something nobody else answered. |
Quotes from Google's «Mythbusting generative AI search: what you don't need to do», developers.google.com/search/docs/fundamentals/ai-optimization-guide, page last updated 10 July 2026, checked 9 September 2026. Google's related page on AI features says the same about requirements: «There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary.»
Where the advice you are reading comes from
Here is the part worth sitting with. On 9 September 2026 we ran the query «answer engine optimization» in Google in the United States. The first thing on the page was Google's own AI Overview, and its strategy section recommended three things: «Use Answer-First Formats», «Strengthen Authority (E-E-A-T)», and «Expand Beyond Your Site: Earn mentions on platforms like Reddit, LinkedIn, and YouTube where AI models gather consensus.»
Two of those three are on Google's own list of what you don't need to do. The AI answer and the documentation are both Google, and on this subject they do not say the same thing — because the AI answer is assembled from the pages that rank, and the pages that rank are guides written by people selling the tactics.
This is not a scandal, and it does not mean AI answers are useless. It means an AI answer is a summary of the consensus among its sources, and consensus in a young field is mostly repetition. Note also that AI Overviews are generated per query and change between runs, so the wording above is one snapshot rather than a fixed position — which is the point. Check what a vendor writes in its own documentation, with the date it was written. That habit is worth more than any tactic in this article.
Being reachable comes before being quotable
Everything above is about content. None of it matters if the system cannot fetch your pages, and this is where the one genuinely technical requirement lives. OpenAI documents a crawler called OAI-SearchBot for its search features and states the consequence in one line: «Sites that are opted out of OAI-SearchBot will not be shown in ChatGPT search answers.» Google's advice is the same in different words — allow crawling, keep content in text, link your pages together.
The ceiling is that an open robots.txt is not proof of access. Security tooling and CDN settings can refuse AI crawlers above the level of that file, so the only honest check is the response your site returns to each crawler, one at a time. That check, and what to do when it fails, is the subject of the companion article rather than this one.
Check your own site before reading on
Access is the one requirement in this article that is not a matter of opinion, so it is worth knowing your own answer first. A refusal here outranks everything else on this page.
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What is actually left to do
Once the myths are removed, Google's positive guidance is short enough to quote in full: «Creating content that people find unique, compelling, and useful will likely influence your website's presence in generative AI search», with a unique point of view and content that is not a commodity. In practice, for a company of five to thirty people, that means the questions your customers ask on the phone should have answers on your website — in your words, with your numbers, including the answers your competitors avoid because they are inconvenient. A page that says something nobody else says is the only asset here that a tactic cannot fake.
The ceiling is honest and it is the reason this is sold as a trick instead: it is slow. There is no version of this that pays off in three weeks, no setting to switch, and no way to tell in advance which page gets picked up. What you can control is whether there is anything on your site worth quoting, and most sites in most niches still fail that test on the questions that matter.
Where you can see whether any of it worked
The hardest part of this field is not the work, it is the scoreboard. Since 10 February 2026 Bing Webmaster Tools has reported AI Performance, which shows, in Microsoft's words, «when your site is cited in AI-generated answers across Microsoft Copilot, AI-generated summaries in Bing, and select partner integrations», including which URLs get cited and how that changes over time. It is free, it is first-party, and Google Search Console has no equivalent report at all — which is why any serious answer to «are we being cited» starts with a Bing account, not with a Google one.
The ceiling is coverage. Bing reports Bing and Copilot; it does not tell you what ChatGPT or Perplexity did, and those platforms publish no citation report of their own. Everything outside Copilot and Bing is measured by asking the questions yourself and writing down the answers, on a schedule, with the date — which is tedious, imperfect, and still better than the alternative of guessing. Treat any dashboard claiming complete AI visibility as an estimate built the same way.
What to do this month
- 1
Ask the five questions your customers ask, and read the answers
Not your brand name. The questions a customer asks before they know you exist: who does this in my city, what does it cost, how long does it take. Write down which companies get named and which sources get linked. That list is your baseline and it takes an afternoon.
- 2
Confirm the crawlers are not blocked
Check the response your site gives each AI crawler rather than trusting robots.txt. This is the one item on the list that can silently cost you everything else, and it is the subject of the companion article.
- 3
Claim Bing Webmaster Tools
It is free and it is the only first-party report that shows citations in AI answers. Add the site, submit the sitemap, then leave it alone for a few weeks so there is something to compare against later.
- 4
Write the one page nobody in your field has written
Take the question you answer on the phone every week and answer it properly, with your own numbers and the part where your service is the wrong choice. This is slow work with no guaranteed page, and it is the only item here that compounds.
- 5
Ask any vendor which of the five they are selling
Give them the list: llms.txt, chunking, extra schema, AI-style rewriting, bought mentions. Ask what they would measure instead, and what the report will show in month three. Google's own advice is to review its guidance before buying third-party AEO or GEO services — the same guidance works as a checklist for the conversation.
Questions people ask about AEO
- What is answer engine optimization (AEO)?
Answer engine optimization is the practice of getting your business named and linked inside the answers that AI systems write, rather than only in the list of links below them. It covers making sure AI crawlers can reach your pages, having clear answers on your site to the questions customers actually ask, and tracking where your site gets cited. Google treats this as part of ordinary SEO rather than a separate discipline: as its documentation puts it, optimizing for generative AI search is optimizing for the search experience, and thus still SEO.
- What is AEO vs SEO?
They are the same work measured differently. SEO traditionally aims at a ranked position in a list of links; AEO aims at being named inside an answer written above that list. The methods overlap almost completely — accessible pages, useful content, clear information about your business — which is why Google's own guidance places generative AI optimization inside SEO rather than beside it. The practical difference is measurement: a citation in an AI answer is not a ranking, and you need a different report to see it.
- What is the difference between answer engine optimization and generative engine optimization?
There is no difference in practice, only in the word chosen. Google's documentation defines both terms and treats both as SEO. Profound, a vendor that sells an answer engine optimization platform, published an article in June 2025 arguing that AEO and GEO are the same thing and that «whether you label it AEO, GEO, or just next-gen SEO, the mission is the same». GEO has a traceable origin in a November 2023 research paper; AEO came out of the marketing trade. If a proposal charges separately for AEO and GEO, ask what work differs between them.
- What is an example of AEO?
A bookkeeping firm in Denver notices that ChatGPT, asked for a bookkeeper for a small business in Denver, names four competitors. It confirms that AI crawlers are not blocked from its site, then writes a page answering what monthly bookkeeping costs for a company of ten people, what the firm does not take on, and how a handover from a previous bookkeeper works. It claims Bing Webmaster Tools and checks the AI Performance report each month to see whether those pages start getting cited. No special files, no extra markup — a fixed access problem, an answer that did not exist before, and a way to measure it.
- How do you do answer engine optimization?
Four things, in this order. Confirm AI crawlers can actually fetch your site, by checking the response your server gives each one rather than trusting robots.txt. Write real answers to the questions your customers ask, including the ones your competitors avoid. Claim Bing Webmaster Tools so you can see citations in Copilot and Bing AI answers. Then check the AI answers for your own key questions on a schedule and record what changed. Google explicitly says no new file formats, markup or writing style are required for this.
- Does schema markup help with AEO?
Not for AI answers specifically. Google's documentation states that structured data is not required for generative AI search and that there is no special schema.org markup to add for it, and lists overfocusing on structured data among the things you don't need to do. Structured data still earns its place for the search features that genuinely use it, so keep what you have — but adding markup in the hope of being cited by AI is work with no stated payoff.
- Do I need an llms.txt file?
No. Google's documentation lists llms.txt files and other special markup among the things you don't need to do, and states that Google Search ignores them. No major search vendor documents a requirement for one. If an agency proposes creating one as a deliverable, that is a reasonable moment to ask what else on their list has the same amount of evidence behind it.
- How do I know if AI is citing my site?
For Microsoft surfaces there is a first-party report: since 10 February 2026 Bing Webmaster Tools shows an AI Performance report covering citations in Microsoft Copilot, AI-generated summaries in Bing and select partner integrations, including which URLs are cited and how that changes over time. It is free. Google Search Console has no equivalent. For ChatGPT and Perplexity there is no citation report at all, so the only honest method is to ask your key questions on a schedule and record the answers with dates.
- Should I hire an AEO agency?
It depends on what they sell, and Google's own guidance is to review its documentation before buying third-party AEO or GEO advice or services. Use the mythbusting list as your checklist: if the deliverables are an llms.txt file, chunked content, extra schema and bought mentions, the proposal is built on things Google says are unnecessary. Ask instead what they will measure, what the report shows in month three, and what happens if AI answers stop citing you. Any agency worth hiring will answer those without changing the subject.
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