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AEO and AI search

What is answer engine optimization (AEO)?

IN SHORT

Answer engine optimization (AEO) is the practice of making your business easy for answer engines, such as ChatGPT, Perplexity, Gemini and Google’s AI features, to find, understand and recommend when someone asks a question. Success is being named or cited in the answer, not holding a position in a list of links.

By Adnan Gourija, Head of Search Marketing at Webtec (SEO and AEO)Reviewed October 11, 20269 min read

  • AEO targets answers, not rankings: the goal is to be named or cited inside the response.
  • It builds on SEO. Google says its generative AI features rely on core Search ranking and quality systems.
  • The work is positioning, answer-first content, technical access, proof and measurement.
  • No one can guarantee a citation, and Google says tools claiming access to its internal metrics should be treated with caution.

TRY IT

AEO, GEO and SEO, explained plainly

Where it shows up

A direct answer from ChatGPT, Perplexity, Gemini or Google AI Overviews.

What winning looks like

The assistant names your business as the answer to a buyer question.

How it is judged

Whether you are named, for which questions, and what it leads to.

How we do it

  • Answer-first pages for real questions
  • Clear positioning a model can quote
  • Structured data and consistent profiles

AEO and GEO describe the same goal from two angles, and the names are still settling. We treat them as one service, built on the same groundwork as good SEO.

Why AEO exists

Buyers now put questions to assistants and read one synthesized answer instead of scanning ten links. When that answer names a handful of businesses, being one of them is the new first page.

This changes what a good result looks like. A page one ranking still sends visitors. An assistant answer may send none, yet it can still shape which business the buyer calls. That is why AEO measures whether you are named, not only whether you are clicked.

Search engines still matter. Many assistants retrieve pages before writing an answer, so your pages have to be findable, and worth quoting once found.

What an answer engine does

Behind the scenes the process usually looks like this. Details differ by assistant and change often, and providers publish only part of it.

  • It reads the question and often breaks it into sub-questions, a step called query fan-out.
  • It retrieves candidate pages and the passages that answer each part, a method called retrieval-augmented generation.
  • It writes an answer, sometimes with citations to the sources it used.
  • It may name businesses it judges to be a good fit for the question.

What Google itself says

Google’s documentation on AI features says a page must be indexed and eligible to appear in Search with a snippet to be shown as a supporting link in AI Overviews or AI Mode. It adds that there are no additional technical requirements and no special schema.org markup to add (Google Search Central, last updated December 2025).

Google’s generative AI optimization guide goes further (last updated July 2026). It says AEO and GEO are, from Google’s perspective, optimizing for the search experience, which it considers SEO, and it names tactics you do not need: an llms.txt file, splitting content into small chunks, rewriting content in a special style for AI, or hunting for artificial mentions.

Read that as a floor, not a ceiling. Google describes how its own product works. Other assistants have their own crawlers and sources, and the questions buyers ask there are still worth answering well. See AI Overviews and AI Mode for Google’s side in detail.

What the research shows, and does not

The paper that popularized the term GEO (Aggarwal and colleagues, accepted to KDD 2024) tested nine ways of rewriting web content against a benchmark of queries. Its authors report that the best methods raised visibility in generative answers by up to 40 percent, and that adding quotations, statistics and cited sources worked best. Keyword stuffing scored below the unoptimized baseline.

Treat this carefully. The main experiments used one language model as the engine, with a second engine, Perplexity, tested on a smaller sample. The authors say results vary by topic and that they did not measure effects on search rankings. It shows which kinds of edits help in a lab setting. It is not a promise about your site.

The practical lesson matches ordinary good writing: specific facts, named sources and clear statements are easier for a system to use than vague claims.

What AEO is not

  • A trick to rank inside a chatbot.
  • A replacement for SEO. It extends it.
  • Stuffing keywords into FAQs.
  • A guarantee of being named.
  • A reason to publish pages that exist only for machines.
  • A file or format trick. See llms.txt for what such files can and cannot do.

Where to start, step by step

Start with the commercial questions buyers ask right before they hire or buy, because that is where being named pays. Write down 10 to 20 of them in the buyer’s own words. Then check what you currently get: ask each question in the main assistants and note who is named.

Next, check whether your site answers each question clearly, in the first paragraph of a page built for it. Fix gaps in that order: positioning, the missing pages, the crawl and technical basics, then proof such as reviews, named authors and sources. Our method follows six steps, shown in the Answer Method, and the measurement step tells you whether it is working.

Make sure AI crawlers can reach your pages, and that your business is described the same way everywhere, which is the subject of brand, entity and mentions.

What is changing

Assistants add features quickly. Google’s optimization guide, for example, now points site owners to a Generative AI performance report in Search Console. Expect better measurement over time and expect advice to change with it.

Be wary of anyone selling a fixed formula. The reliable approach is the unglamorous one: be the clearest, best-evidenced answer to a real question, make it easy to reach, and measure over months rather than days.

Examples by industry

Illustrative scenarios, not client results. Pick the one closest to your business.

  • ACCOUNTING AND FINANCIAL FIRMS

    A 12-person accounting firm that serves owner-run online stores. Prospects ask an assistant, "Which accountant should I hire for my online store?" The firm’s site says it offers "full-service accounting solutions".

    1. Position the firm in one sentence: accounting for owner-run online stores with 5 to 50 people.
    2. Rewrite the services page so its first paragraph answers what an accountant for an online store does and how fees are structured.
    3. Put reviews and a named partner beside the answer.
    4. Run the buyer question monthly and note whether the firm is named.

    Takeaway: Specific positioning gives an assistant a clear reason to name the firm for a specific question.

  • DENTAL AND HEALTH CLINICS

    A dental clinic in a mid-size city. People ask, "Who is the best dentist for anxious patients near me?" The clinic never mentions anxiety anywhere on its site.

    1. Publish a page on anxiety-friendly care that answers the five questions nervous patients actually ask.
    2. Keep hours, address and services identical on the site and on Google Business Profile.
    3. Ask happy patients to mention what made them feel at ease.
    4. Name the dentist who wrote or reviewed the page, with credentials.

    Takeaway: Assistants name businesses that clearly match the need the buyer describes.

  • B2B SOFTWARE AND STARTUPS

    A B2B invoice-automation software company. A finance lead asks, "What software automates accounts payable for a 200-person company?" The product page talks about "powerful workflows".

    1. Map the sub-questions: integrations, approvals, security, cost and onboarding.
    2. Publish a clear page for each use case and each major integration.
    3. Add a plain comparison page that says who the product is, and is not, for.

    Takeaway: Clarity about who you are for is what turns a product page into a quotable answer.

THE WEBTEC ANSWER METHOD · STEP 1 OF 6

Position: how we do it

We start with who you serve and why you are the better choice, because assistants repeat clear positioning.

  • Name your ideal buyer and their situation
  • State what you do and why it is better, in one sentence
  • Keep that sentence consistent everywhere you appear
See all six steps

Common mistakes

  • Treating AEO as a separate project from SEO and starting with tricks instead of foundations, which leaves nothing for an assistant to retrieve.
  • Optimizing for every question instead of the commercial ones that lead to revenue, which spreads effort across questions that never produce an enquiry.
  • Publishing vague, padded content that gives an assistant nothing quotable, so a competitor’s specific page is used instead.
  • Measuring clicks instead of whether you are named, so a real gain or loss goes unseen.
  • Writing a special version of the page for machines. Google says no special writing style is needed, and the extra page only adds maintenance.
  • Trusting a vendor who promises citations. Nobody outside the providers controls source selection.

Checklist

  • Your positioning is one clear sentence, used on your homepage and profiles.
  • You have a written list of 10 to 20 commercial buyer questions.
  • Your key service pages answer the main buyer question in the first paragraph.
  • Your key pages are indexed and eligible to appear with a snippet.
  • AI crawlers you want are not blocked in robots.txt or by a firewall.
  • Your business facts are consistent across your site and profiles.
  • Claims on key pages name a source or a number you can show.
  • You track a fixed set of buyer questions each month.

Questions

Is AEO the same as SEO?

No, but they overlap heavily. SEO earns a position in a list of results. AEO aims to get you named inside the answer an assistant writes. Most of the groundwork is shared: crawlable pages, clear content and trust. Google itself says that, from its perspective, optimizing for generative AI search is still SEO. We still treat the measurement and the content planning as distinct work, because the outcome you track is different. If your SEO is weak, fix that first, because it limits everything else. If it is strong, the AEO layer is mostly question mapping, answer-first rewrites and monthly measurement of whether assistants name you.

Does AEO work for small businesses?

Yes, especially for specific, commercial questions in a niche or a city, where an assistant has to choose a few businesses to name. Clear positioning and proof matter more than size. A large brand has more training memory behind it, but retrieval can surface a small business with the clearest answer to a narrow question. Local firms usually have the most to gain, because the questions are specific and few competitors answer them well. The honest limit is that nobody can promise a result. What a small business can do is pick five to ten narrow questions, answer them better than anyone else, and measure whether it starts to be named.

Can anyone guarantee that ChatGPT will recommend my business?

No. Assistants do not publish how they choose sources, and they change. Google also warns that no third-party tool has access to its internal systems. What you can do is improve everything you control, make sure the right crawlers can reach your pages, and track whether you are named on a fixed set of questions. Treat any guarantee as a warning sign about the provider. Ask any provider who promises citations to explain exactly how they control a third party’s answers. If they cannot, treat the promise as marketing rather than method.

How long does AEO take to show results?

Expect months, not days. Pages must be recrawled, assistants refresh at different speeds, and answers vary from run to run, so a trend takes several monthly measurements to read. Google notes that recrawling after a change can take from several days to several months. We recommend six months as a sensible engagement, with a baseline in the first month, and we promise no outcome in that time. Early signs, such as pages indexed and new pages appearing in a source list, can show within weeks. Reliable movement in how often you are named usually takes three to six months of steady work.

Do I need a special tool or file to start?

No. You need pages that answer buyer questions clearly, a site assistants can crawl, and a way to track a fixed set of questions. Google says you do not need an llms.txt file, special markup or special writing for its AI features. Tools help with measurement, but they are optional at the start. A spreadsheet and a monthly run of 20 questions is enough for a first baseline. Add a paid tracker later if the manual run becomes too slow, and check how it samples answers before you trust its numbers.

Is AEO right for my industry?

It suits any business where buyers research with questions before they decide: professional services, health, trades, software and online retail are the clearest cases. It is less useful where purchases are impulsive or where nobody asks a question first. Check by asking an assistant five questions your best customers asked before they hired you. If it names competitors, there is room to compete. Regulated fields such as law, health and finance need extra care: cite official guidance, name qualified reviewers, and avoid claims you cannot support, because assistants and readers both punish unreliable advice.

Sources

Webtec reviews this page regularly. Search and platform features change, so check provider documentation for the latest. How we research and verify our guides.

Adnan Gourija

Adnan Gourija

Head of Search Marketing at Webtec (SEO and AEO). Leads search marketing at Webtec: the SEO and AEO strategy that gets a business found in Google and named in AI answers.

Related guides

Pick up where this one leaves off.

All AEO and AI search guides
  1. 01Learn guide · AEO and AI searchAEO vs SEO vs GEOSEO earns a position in results. AEO and GEO aim to get you named inside an AI answer. How the three differ, what they share and which to do first.
  2. 02Learn guide · AEO and AI searchHow AI assistants choose sourcesAI assistants retrieve pages that match the question and quote the clearest, best-evidenced passages. What is documented, what is unknown and how to be chosen.
  3. 03Learn guide · AEO and AI searchQuery fan-outQuery fan-out is when an AI system splits one question into several searches. How it works, why it changes content planning, and how to map the sub-questions.
  4. 04Learn guide · AEO and AI searchMeasuring AI visibilityMeasure AI visibility with a fixed prompt set, repeated runs and share of answers, tied to referrals and enquiries. The method, the data sources and the limits.
  5. 05Learn guide · AEO and AI searchGoogle AI Overviews and AI ModeHow do AI Overviews work? Learn how Google builds AI Overviews and AI Mode answers, what makes a page eligible to be linked, and what controls you have.

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