What Is Answer Engine Optimization (AEO)?

Answer engine optimization (AEO) is preparing content so that a search engine or AI assistant uses it as the source of the answer it gives the user directly. The goal is not to rank among ten blue links but to be the answer itself — in a featured snippet, a voice assistant reply or an AI-generated summary.

The term spread quickly over the last two years alongside GEO, and brought a new line item with it: the "AEO package". Most of those packages sell schema markup, FAQPage markup in particular.

This post first pins down how AEO differs from SEO and GEO. Then it looks at two things: what the engines' own documentation says, and what structured data actually sits on the home pages of 175 of Türkiye's most popular sites. We ran that measurement ourselves to answer the second question.

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

The short answer: all three are work aimed at the same content appearing in three different outputs, and they overlap heavily.

AEO is older and broader than GEO: it also covers pre-generative featured snippets and voice assistants. GEO focuses specifically on answers that generative models produce with sources. We cover the distinction in GEO vs SEO and the whole discipline in the GEO guide.

The engines are not very interested in the naming debate. Google's AI optimization guide, published in May 2026, names AEO and GEO directly and says that from Google Search's perspective, optimizing for generative AI search is still SEO (Google Search Central, Optimizing for generative AI search). Microsoft's guide opens from the same place: "Whether you call it GEO, AIO, or SEO, one thing hasn't changed" (Microsoft Advertising, 8 October 2025).

What do the engines themselves say?

Most of what is written about AEO comes from agencies. The engines' own documents say less, but what they say is clearer.

Google: there is a list of things you don't need to do. A mythbusting section in Google's guide lists the AEO and GEO tactics you can ignore for Google Search (Google Search Central, 2026):

• llms.txt and other "special" markup: Google Search does not use them; no new machine-readable files, markup or Markdown are needed for AI.
• Chunking content: not required; Google's systems can understand several topics on one page and show the relevant piece.
• Rewriting content just for AI: not required; the systems understand synonyms and general meaning.
• Seeking inauthentic mentions: less helpful than it looks; spam systems filter these too.
• Overfocusing on structured data: not required for generative AI search, and there is no special schema.org markup. Continuing to use it as part of overall SEO is still a good idea for rich-result eligibility.

Google's documentation on AI features says the same more briefly: to appear as a supporting link, a page needs to be indexed and eligible to be shown with a snippet, and any structured data should match the visible text on the page (Google Search Central, AI features and your website).

Microsoft: structure matters, and Q&A pairs can be lifted directly. Microsoft's October 2025 guide explains that assistants like Copilot evaluate a page in pieces rather than as a whole (Microsoft Advertising, 2025). Three points stand out:

• Pairs of direct questions and clear answers can often be carried into the answer word for word.
• Schema markup helps search engines and AI systems understand content.
• Important answers should not be hidden in tabs or expandable menus, because AI systems may not render hidden content.

The two differ in emphasis. Google says there is no need to chunk content and schema is not required; Microsoft says assistants parse pages into pieces and schema helps. Where they meet is clear: the answer should exist as visible text, organised under clear headings. Organise it, don't chop it up.

Structured data on Türkiye's popular sites: we measured it

Schema markup sits at the centre of the AEO pitch, so we measured where large Turkish sites actually stand.

Method: on 19 October 2026 we fetched, once, the home page of each of the 200 most popular .tr domains within the Tranco top 100,000 (Tranco, list 64VKX). 175 returned HTML; 25 answered with bot protection or a connection error. We did not execute JavaScript. We collected types recursively from JSON-LD blocks and counted microdata too.

Findings (Caliency measurement, 19 October 2026):

• 51.4 percent of the 175 home pages carry no structured data at all. 44.6 percent carry JSON-LD.
• Organization markup (or a subtype), which says who runs the site, appears on only 40 percent. Google recommends putting exactly this markup on the home page.
• 21.1 percent carry a SearchAction — the markup for the sitelinks search box Google retired in 2024.
• FAQPage appears on 1.7 percent (three sites), HowTo on none.

That last point is expected: FAQ and how-to markup usually lives on inner pages, not the home page, and this measurement does not cover inner pages. The first three are the ones worth noticing.

Why is markup for a retired feature still there?

In October 2024 Google announced it would remove the sitelinks search box from search results starting 21 November 2024, citing declining use (Google Search Central Blog, 21 October 2024). Of the 175 home pages we measured, 37 still carry that markup almost two years later.

That is not a mistake. In the same announcement Google says plainly that there is no need to remove the markup and that unsupported structured data will not cause issues in Search. These 37 sites are doing nothing wrong.

But the table does say something: markup added to win a visual reward stays on the page after the reward is gone, because nobody goes back to look. Meanwhile 60 percent of the same home pages have no Organization markup saying which organization the site belongs to.

FAQ markup tells the story even more clearly. In August 2023 Google limited FAQ rich results to well-known, authoritative government and health websites, and in September 2023 it removed HowTo rich results altogether (Google Search Central Blog, 8 August 2023). From 7 May 2026 the FAQ rich result is no longer shown in Google Search at all; its documentation was removed in June 2026 (Google Search Central, documentation updates).

Today's "add FAQPage for AEO" advice sells the logic of a rich result that no longer exists under a new name. The markup does no harm, and it still describes a question-and-answer page correctly. But its value is not in the markup itself; it is in the visible question and answer on the page. Which schema types still earn anything is covered in our schema markup guide.

The breakdown shows another side of the same story: commercial sites mark up, public institutions mostly do not. 63.8 percent of the 94 .com.tr home pages we measured carry some structured data, against 21.7 percent of the 46 .gov.tr home pages (Caliency measurement, 19 October 2026). Our reading: on the commercial side, markup was largely driven by the expectation of rich results; where that expectation was absent, the markup that identifies the organization mostly was not added either.

What actually works in AEO

The list that comes out of the engines' documentation and the measurement is short. None of it is new; most of it is what good SEO already asks for.

1. Answer first. Each section should give the answer in its first sentence or two. The answer must still be true when quoted out of context, because that is exactly what assistants do.
2. Question-shaped headings. Make the user's question the heading and put the answer directly underneath. Microsoft's own example is the same: a heading that asks the question instead of "Learn more".
3. Visible FAQ. Write frequently asked questions as visible text at the end of the page. Do not hide them in tabs or accordions.
4. Lists and tables. Give comparisons and steps as lists or tables rather than paragraphs.
5. Mark up who you are. Add Organization markup to the home page: name, logo, address, contact details, social profiles. Google's documentation says the markup has no required properties and the home page is enough (Google Search Central, Organization structured data).
6. Markup must match visible text. Putting a question in FAQPage that does not appear on the page breaks Google's condition.
7. Write what you know, not what everyone knows. Google's guide emphasises original, expert-led content that goes beyond common knowledge. That is why this post carries its own measurement.
8. Let the crawler in. If the assistant's crawler cannot read your page, nothing else matters. Which bots to allow is covered in AI crawlers: allow or block.

How to write quotable paragraphs is in content AI can quote, and how machines recognise a brand in entity SEO.

How do you measure AEO?

This is the part few say out loud, because nobody can sell it: no report measures AEO completely.

Search Console now has a generative AI performance report showing impressions in AI Overviews and AI Mode. But impressions are its only metric: there are no clicks, no click-through rate and no query breakdown (Search Console Help, Generative AI performance report). It tells you that you appeared, not for which question or whether anyone clicked. And there is no official dashboard at all telling you how often ChatGPT or Copilot cited you.

In practice you can build a three-part measurement:

• Search Console: the trend in generative AI impressions, and in the classic report, impressions and clicks for question-style queries — "what is", "how to", "how much".
• GA4: referral traffic from AI assistants. We give the step-by-step setup in measuring AI search traffic in GA4.
• Manual checks: once a month, ask assistants the 10–20 questions that matter most to your business and record whether you are cited.

All three are noisy. Assistant answers can change even for the same question, so look at the trend over months rather than any single reading. What works for ChatGPT specifically is in how to get cited by ChatGPT.

What we did not measure

• Home pages only. FAQ, product and article markup mostly lives on inner pages, so the FAQPage rate does not represent whole sites.
• No JavaScript. Markup injected in the browser was not counted. Because Google renders pages, it may see more markup on some of these sites than we did.
• Presence, not correctness. Finding a type does not mean it is filled in correctly.
• 25 of the 200 sites did not return a home page to an automated client; rates are based on the remaining 175.

Frequently asked questions

What is answer engine optimization (AEO)?

Answer engine optimization is preparing content so that a search engine or AI assistant uses it as the source of the answer it gives the user directly. The goal is not to rank in a list of results but to be the answer — in a featured snippet, a voice assistant reply or an AI-generated summary — or to be cited as its source.

What is the difference between AEO and GEO?

They overlap heavily. AEO is the older and broader term and also covers featured snippets and voice assistants. GEO focuses on being cited in answers generated by AI systems such as ChatGPT, Gemini, Perplexity and Google AI Overviews. Google does not treat either as separate work: its May 2026 guide says that from Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and so still SEO.

Do I need special schema markup for AEO?

Not according to Google. Its May 2026 guide says structured data is not required for generative AI search and there is no special schema.org markup to add, while recommending you keep using structured data as part of your overall SEO. Microsoft says schema helps machines understand content. Both agree that the answer should exist as visible text on the page.

Is FAQPage schema still worth adding?

Its visual reward on Google is gone. Google limited FAQ rich results to government and health sites in August 2023 and stopped showing them entirely from 7 May 2026. The markup does no harm and still describes a question-and-answer page correctly. What matters more is the question and answer appearing as visible text; Microsoft says assistants can often lift such pairs word for word.

How do you measure AEO?

No report measures it completely. Search Console's generative AI performance report shows impressions in AI Overviews and AI Mode, but has no clicks, click-through rate or query breakdown. A practical setup has three parts: the trend in those impressions and in question-style queries in Search Console, referral traffic from AI assistants in GA4, and asking assistants your most important questions by hand at regular intervals.

In short

AEO aims to be the answer itself and overlaps heavily with GEO. Google counts both as SEO and puts "AEO tactics" such as llms.txt, chunking content and special schema on its list of things to ignore. Microsoft says well-structured question-and-answer pairs can be carried straight into assistant answers.

On the home pages of 175 popular Turkish sites, 51.4 percent carry no structured data at all, 21.1 percent still carry markup for a feature retired in 2024, and only 40 percent carry the Organization markup that identifies who they are (Caliency measurement, 19 October 2026). The markup was added to chase rewards, not to establish identity.

The part of AEO that works is the reverse: markup that says clearly who you are, and visible, well-structured, original content that answers the question in its first sentence. Our GEO service covers both: entity and schema work, and quotable passages. To see where your site stands today, try our free SEO checker or get in touch.