What is answer engine optimization (AEO)?

Answer engine optimization (AEO) is a marketing practice that aims to make a brand part of the direct answers given by AI assistants such as ChatGPT, Gemini, Microsoft Copilot and Google AI Mode. Born in the era of featured snippets and voice assistants, the term now overlaps almost entirely with GEO.

Why answer engine optimization matters

Answer engine optimization matters because more and more questions end with an answer, not a list of links. In September 2025, OpenAI published the largest study of consumer ChatGPT use to date, based on 1.5 million conversations, at a time when ChatGPT had 700 million weekly active users. About half of all messages (49%) fell into the "Asking" category: people looking for information or advice rather than getting a task done. OpenAI's reading is that people value ChatGPT most "as an advisor".

When someone asks an assistant which tool, agency or product to choose, the answer names a handful of brands and explains why. That short list is the new shelf. A brand that is not on it is not compared, whatever its rankings in classic search.

How answer engine optimization works

An answer engine builds each reply from two kinds of knowledge: what its model learned during training, and pages it retrieves from a search index at the moment of the question. AEO works on both, in four steps that mirror the engine's own:

  1. Be retrievable. Each engine reads from an index. Google AI Mode uses Google's, and Microsoft says Copilot is "powered by Bing's search index". ChatGPT search depends on OpenAI's OAI-SearchBot: sites that opt out of it are not shown in ChatGPT search answers. A page that is blocked or missing from these indexes never reaches the answer.
  2. Rank for the questions behind the question. Engines run their own searches, often several per prompt, a process called query fan-out. The pages that rank for those searches are the candidates.
  3. State the facts an answer needs. An engine can only recommend what it can read: who the product is for, what it costs, where it is available, how it compares.
  4. Be confirmed by others. A 2025 University of Toronto study found that AI search engines favor "Earned media" such as independent reviews and publishers over brand-owned pages. A claim that only appears on your own site carries less weight.

Example: one prompt, one short list

Take a prompt a freelancer might type into ChatGPT or Google AI Mode:

I'm a freelance graphic designer in the UK. Which accounting software should I use?

The engine reads the hidden criteria (sole trader, UK tax rules, a small budget). It then searches for phrases such as "best accounting software for UK freelancers" or "Making Tax Digital software for sole traders" (illustrative), reads the comparison and review pages that rank, and replies with three to five tools, one reason for each, and links to its sources.

For an accounting software brand, AEO turns that answer into three questions. Are we on the list? Is the reason given accurate, with the right price and the right tax features? And which pages did the engine cite? If the cited comparison article leaves the brand out, that article is the place to work on, not the brand's homepage.

AEO vs GEO

AEO and GEO (generative engine optimization) chase the same result today, and Google's guide to its AI features names both as terms that "are common online". They come from different places, though.

AEOGEO
OriginSEO practitioners, in use by 2018A research paper first posted in November 2023
First targetsFeatured snippets and voice assistantsEngines that write one answer from several sources
Typical focusBeing the answer to a questionBeing cited and visible inside a generated answer
Use todayInterchangeable with GEO for AI assistantsInterchangeable with AEO

In February 2018, Search Engine Watch described how voice search was turning search engines into "answer engines", a strategy that "has come to be known as AEO". The generative engine optimization label came later, from academic work on engines such as Bing Chat and Perplexity.

How to improve answer engine optimization

Start from the answers, not from your pages. Write down the questions your buyers ask, run them on each assistant several times, and note who gets named and why. Then work on the gaps:

  • Make the specifics easy to find. As Jason Barnard put it in that 2018 article, "if Google is to give a specific answer, it needs very specific, detailed information in order to present it." Prices, use cases, locations and integrations belong in plain text.
  • Earn mentions on the pages engines cite. Reviews, comparisons and trade media that already rank shape the short list.
  • Skip the shortcuts. Google says Google Search doesn't use llms.txt files or other AI-specific markup, and that content doesn't need to be cut into tiny pieces for its AI features.

Then measure the result. Hawkscan tracks whether your brand is named in ChatGPT, Microsoft Copilot, Gemini and Google AI Mode answers every day, with your mention rate and your AI visibility score.

Common questions

Is AEO different from SEO?

Yes. SEO aims to rank pages and earn clicks, while AEO aims to get a brand into the answer itself, often without a click. The two are linked: an assistant that searches the web can only use pages it finds, and those are mostly pages that already rank. Our AEO vs SEO comparison sets their goals, KPIs and tactics side by side.

Is AEO still about voice search?

Not mainly. In 2018, AEO was about the single answers given by featured snippets and by voice assistants such as Google Home or Amazon Echo. Today the term mostly refers to written answers from AI assistants like ChatGPT, Gemini, Microsoft Copilot and Google AI Mode, which name several brands and cite their sources.

Can you do AEO without changing your website?

Partly. Much of what assistants say about a brand comes from other sites: reviews, comparison articles, forums and media. Improving how you are described there can change the answer even if your own pages stay the same. Your site still has to be crawlable and clear for the answers that do cite it.

Sources

  1. OpenAI, How people are using ChatGPT ()
  2. Search Engine Watch, The rise of Answer Engine Optimization: Why voice search matters ()
  3. Google Search Central, Optimizing your website for generative AI features on Google Search ()
  4. Microsoft Advertising, Optimizing your content for inclusion in AI search answers ()
  5. arXiv (University of Toronto), Generative Engine Optimization: How to Dominate AI Search ()

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