AEO Optimization: What It Is and How to Get Into AI Answers

AEO stands for Answer Engine Optimization — optimizing for systems that answer questions directly. These are AI engines (ChatGPT, Perplexity, Gemini, Yandex AI), voice assistants, and featured snippet blocks in search engines that give a ready answer instead of a list of links.

The key difference from SEO: classic SEO optimizes the user's path to your site; AEO optimizes the content itself so that your text becomes the answer to the question — not just a link to it.

Sounds like GEO? Almost, but not quite. GEO (Generative Engine Optimization) is a broader concept — everything that helps get into generative AI results. AEO is the specific part of GEO focused on answer structure: how content is formatted, how questions are framed, how clearly answers are given. In practice they're almost always done together, but understanding the difference is useful.

In short:

According to Previsible, traffic from AI systems grew 527% year-over-year in the first five months of 2025. ChatGPT reached approximately 800 million weekly users by early 2025. The audience for Yandex AI search grew from 7.4 to 10.5 million daily users, with the share of commercial queries through AI results doubling in six months.

According to Ahrefs Brand Radar 2025, only about 12% of URLs cited by ChatGPT and Perplexity are in the Google top-10 for the same queries. Top positions in regular search don't automatically translate to AI answer inclusion. These are different algorithms with different signals.

Gartner predicts a 25% decline in traffic from traditional search by 2026 — precisely because queries are shifting to AI. Meanwhile, 65% of Google searches already end without a click to any site.

This means one simple thing: part of the audience searching for your products or services simply can't see you — and not because your site is bad.

Most modern AI search engines use RAG — Retrieval-Augmented Generation. Simplified: the system finds relevant fragments on the web, synthesizes an answer from them, and cites sources. Usually 3–7 sites per answer.

Content extractability. If your page answers "What is FAQPage schema?" directly and within the first 50 words — the AI sees it and uses it. If the answer is buried in the third subsection of the fifth point — most likely not.

Structured data. JSON-LD markup is literally an instruction for AI: "here is the organization name, here is what we do, here is the list of Q&As." Without markup the AI guesses. With markup — it knows.

Reputation signals. Semrush research shows the correlation between brand mentions on authoritative platforms and appearing in AI answers is 0.66, while for backlinks it's around 0.22. Reputation matters more than link profile — counterintuitive for many SEO specialists, but that's how RAG systems work.

Tone of content. According to Semrush, promotional tone reduces citation probability by about a quarter. If a page reads like a sales landing page, AI systems treat it as advertising, not a knowledge source.

FAQPage schema — JSON-LD markup for Q&A blocks. This is the most direct signal for featured snippets and AI engines. A page with FAQPage literally tells the search engine: "here is a list of questions and answers, use them."

HowTo schema — markup for step-by-step instructions. Voice assistants and AI systems readily cite step-by-step answers to "how to do X" questions.

Speakable markup — marks which page fragments are intended to be read aloud. Important for Siri, Google Assistant, and similar.

H2–H3 heading structure in question format — a heading "What is AEO?" works better for AI engines than "Term definition." AI parses page structure and looks for specific questions with answers.

E-E-A-T signals — Expertise, Experience, Authoritativeness, Trustworthiness. For AI: author data, publication and update dates, an About page with Organization schema, links to authoritative sources.

Breadcrumb schema — navigation chain markup. Small but important structural signal.

Take a concrete example. There's a page titled "Accounting Services." Content is well-written, SEO-optimized, ranking top-5 for "accounting services Moscow."

An AI engine receives: "Who handles accounting for small businesses in Moscow?" It looks for pages that directly answer this question. Our page has no FAQPage, no clear Q&A structure. The AI finds another site with a Q&A block with direct answers and markup. It cites that one.

After AEO optimization, the same page gets a FAQ block with markup, headings reformatted as questions, Organization schema added. Now for the same query the AI sees structured answers and cites us instead.

This isn't a hypothetical — exactly this mechanism was documented in the Princeton/ACM KDD 2024 study: adding statistics with attribution and FAQ structure increases AI answer visibility by an average of 30–40%.

Good news: AEO optimization doesn't require rewriting your site from scratch. Most changes are adding JSON-LD markup and reformatting existing content.

1. Find out what you already have. Before adding anything, check the current state of your site: is there JSON-LD markup, which schemas are connected, are there E-E-A-T signals. This takes minutes — and immediately shows where the gaps are.

2. Add FAQPage markup to pages that already have Q&A blocks or where they'd fit naturally. For most sites: About page, service landing pages, terms and conditions pages.

3. Reformat headings on key pages. "Benefits of our service" → "How is this service different from others?" One change, but AI systems start reading the page in a fundamentally different way.

4. Strengthen E-E-A-T. Add author or organization data, update dates, links to primary sources in texts.

5. Add HowTo schema for guides and step-by-step materials.

6. Check the result again. After changes, run the audit again — confirm that markup is picked up and signals appeared.

Yes. Good SEO gives positions in classic search results, but AI engines and voice assistants use different signals — primarily structured data and Q&A content format. According to Ahrefs, only 12% of top-10 Google sites automatically appear in AI answers. Without AEO, the audience searching via ChatGPT or voice simply won't find you.

GEO is the broader concept: optimization for generative AI search engines in general. AEO is the part of GEO focused on answer structure: FAQ markup, HowTo schemas, Speakable, voice search. In practice they're done together.

No. JSON-LD markup is added to the page head section and has no effect on load speed.

Enter the URL in the SEOFetcher tool — it checks for FAQPage, HowTo and Speakable markup, E-E-A-T signals and Q&A content structure. Free and without registration.

Basic steps — adding FAQPage schema and reformatting headings — can realistically be done in a few hours for a small site. Full work including E-E-A-T and HowTo takes 1–2 weeks.