What is answer engine optimization (AEO)?

What does AEO mean?

Answer engine optimization (AEO) is the practice of making your content easy for AI search products to find, use and cite when they write an answer. An answer engine reads pages for the user, writes a response, and links to some of the pages it drew on. AEO is the work of being one of those links.

If you already do SEO, you know most of the groundwork. The difference is the outcome you are aiming for. Classic SEO asks "does my page rank?" AEO asks "when the engine writes an answer, does it use my page, and does it cite me?"

Try it as you read: take the free first lesson and see how answer engines choose their sources.

Is there an official definition of AEO?

No. AEO is an industry label, not a standard, and different vendors and agencies use it in slightly different ways. You'll also see GEO (generative engine optimization), LLMO (large language model optimization) and AIO used for overlapping ideas; Conductor's glossary calls LLMO "essentially synonymous with Generative Engine Optimization (GEO)."

The search engines mostly don't use the term at all. Google's documentation talks about "AI features" in Search. Microsoft uses several labels side by side. A Microsoft Advertising post from October 2025 says: "Whether you call it GEO, AIO, or SEO, one thing hasn’t changed: visibility is everything."

The only formal definition comes from research. The 2023 paper "GEO: Generative Engine Optimization" by Aggarwal et al. (accepted to KDD 2024) calls its method "the first novel paradigm to aid content creators in improving their content visibility in generative engine responses." That defines GEO for the paper's experiments. It isn't a definition of AEO, and nobody can claim one.

So when someone tells you what AEO "is," treat it as their working definition. Ours is the one at the top of this page.

Which products count as answer engines?

The main ones are AI search features that retrieve web pages and cite them:

• •Google AI Overviews and AI Mode. Google's AI Mode announcement (May 20, 2025) says it "uses our query fan-out technique, breaking down your question into subtopics" and issues many searches at once. Google's documentation says AI Overviews "are only shown when our systems determine that it is additive to classic Search."
• •Copilot Search in Bing. Microsoft's April 2025 launch post says "Copilot Search cites its sources prominently, so you know exactly where the information came from."
• •Perplexity. Its help center says "Each answer includes numbered citations linking to the original sources."
• •ChatGPT search. OpenAI says its OAI-SearchBot crawler "is used to surface websites in search results in ChatGPT’s search features."
• •Claude with web search. Anthropic's documentation says the response "includes citations for sources drawn from search results."

The pattern is the same across all of them: take the question (often splitting it into several searches, a step called query fan-out), retrieve pages, write an answer grounded in a few passages, and attach citations.

What changes for an SEO?

Most of your toolkit still applies. Google's AI features page states that "The best practices for SEO remain relevant for AI features in Google Search," and that "There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary." To be a supporting link, "a page must be indexed and eligible to be shown in Google Search with a snippet."

What does change:

Two points from the table are worth expanding.

Passages matter more. The Microsoft Advertising post puts it plainly: "AI assistants don't read a page top to bottom like a person would." It says they "break content into smaller, usable pieces" and recommends "Sentences that make sense even when pulled out of context."

Retrieved is not the same as cited. OpenAI's web search guide notes that "The number of sources is often greater than the number of citations." Your page can be read and still not get the link. And an answer can name your brand without linking to you at all.

What does AEO work actually involve?

In practice, AEO breaks into five jobs. Each one is an extension of something you already do.

1. •Let the right crawlers in. Each engine has its own bots, and blocking them has consequences. OpenAI says "Sites that are opted out of OAI-SearchBot will not be shown in ChatGPT search answers." Perplexity says PerplexityBot "is designed to surface and link websites in search results on Perplexity." Check your robots.txt with our AI crawler checker.
2. •Write passages worth citing. Answer the question first, then explain. Use descriptive headings, lists and tables. Microsoft's post warns: "Don't hide important answers in tabs or expandable menus."
3. •Keep structured data honest. Google's May 2025 guidance asks you to make sure "all the content in your markup is also visible on your web page." Structured data helps engines understand your entities; it doesn't replace visible content.
4. •Build authority beyond your site. When an answer cites a review or comparison page instead of yours, that page's description of you is what the engine repeats. Being described accurately on other sites is part of the job.
5. •Measure citations, not just rankings. Bing Webmaster Tools added an AI Performance report in February 2026 with metrics including "Total Citations" and "Grounding queries." Google says sites appearing in its AI features "are included in the overall search traffic in Search Console."

What does the research say helps?

The GEO paper proposed GEO as a method and tested which content changes help, so it's worth knowing what it found and what it didn't.

The authors built GEO-bench, "a benchmark consisting of 10000 queries from diverse domains and sources," and tested content changes such as adding quotations, statistics and source citations. The abstract reports that "GEO can boost visibility by up to 40% in generative engine responses." When the authors tested on Perplexity.ai, they found "Quotation Addition performs best in Position-Adjusted Word Count with a 22% improvement over the baseline." For keyword stuffing, a classic SEO tactic, they report "such methods offer little to no improvement." They also found that "lower-ranked websites, which typically struggle for visibility, benefit significantly more from GEO."

Read those numbers with care. They come from the paper's own benchmark and metrics, mostly on a generative engine the authors built themselves (with a separate test on Perplexity.ai), in 2023 and 2024. They show that clearer, better-supported content can be cited more. They don't promise any lift on Google, ChatGPT or any engine today.

What AEO is not

AEO is not a set of tricks. Google's guidance says the path to success in AI search is "unique, non-commodity content that visitors from Search and your own readers will find helpful." Hidden text, cloaking and keyword stuffing are all named in Google's spam policies, which count attempts to manipulate "generative AI responses in Google Search" as spam and say they "apply to all web search results." Any short-term gain puts your whole site at risk.

It is also not a separate channel that needs a separate site. The same indexed, crawlable, well-written page serves classic results and AI answers.

Where should you start?

Start with the checks that can rule you out entirely:

• •Confirm your key pages are indexed and can show a snippet in Google.
• •Check that robots.txt doesn't block the AI search crawlers you want to be cited by.
• •Pick ten questions your buyers ask and see which pages each engine cites for them today.
• •Rewrite the opening of your most important pages so the answer comes first and stands on its own.

Then decide how far you want to go. If you're weighing the terms, our post on AEO vs SEO vs GEO compares them side by side.