What is AEO? Answer engine optimization explained, with a checklist

Answer engine optimization (AEO) is the work of making your page the answer that a search engine or AI assistant gives to a question. That answer might be a featured snippet, a spoken reply, a Google AI Overview, or a cited source in ChatGPT, Gemini or Perplexity.

AEO uses the same foundations as SEO: the page has to be crawlable, indexed and relevant. What changes is the unit you win. In SEO it is a ranked link. In AEO it is a sentence or two that a machine lifts and repeats, usually with a link back to you. If you want the full comparison with SEO and GEO, read AEO vs GEO vs SEO. This guide covers what to do.

Where answers appear, ranked by reach

Not every answer surface reaches the same number of people. In rough order of reach:

1. Google AI Overviews and featured snippets. Both appear on an ordinary Google results page, with no extra action from the searcher. If Google shows an Overview for one of your important queries, it sits above every blue link. Overviews do not trigger every time: they vary between runs and between devices, so check a query more than once and check mobile separately.
2. Google AI Mode. A separate tab the searcher chooses to open. It answers almost anything it is asked, so it is a useful test of whether your page can be quoted, but fewer people see it than see Overviews.
3. ChatGPT, Gemini, Perplexity and Claude. Separate products that people open on purpose. They reach fewer people than Google search, but the people asking are often closer to a decision. Voice assistants sit outside this ranking. They read out a single answer, which makes them the strictest version of AEO: there is one slot and no list of alternatives. The same page work applies.

Google says "the best practices for SEO remain relevant" for AI Overviews and AI Mode, and that there are no additional requirements to appear in them (Google Search Central). So start with ordinary search health before anything else.

The on-page checklist

Work through these in order. Each one is a change you can make to a page you already have.

1. Let the crawlers in. Check robots.txt for OAI-SearchBot (ChatGPT search), PerplexityBot, Claude-SearchBot and Googlebot. Blocking GPTBot or Google-Extended controls training and Gemini use; it does not remove you from Google Search. Our AI crawler checker reads your robots.txt and lists what each bot is allowed to fetch.
2. Put the main text in the HTML. If your copy only appears after JavaScript runs, some crawlers will see an empty page.
3. Use the question as the heading. Write the heading the way people ask it ("How much does X cost?") rather than as a label ("Pricing").
4. Answer in the first one or two sentences under that heading. The answer should make sense on its own if it is lifted out of the page.
5. Replace general claims with specific ones, and cite the source. The GEO paper by Aggarwal et al. (2023) found that adding quotations, statistics and cited sources raised a page's visibility in generated answers by up to about 40% on their benchmark, while keyword stuffing did little.
6. Use lists and tables for steps and comparisons. They are easier to extract than a long paragraph.
7. Add structured data that matches the visible text: Organization with sameAs links, Product or SoftwareApplication with offers, Article with a date. Google asks that structured data match the visible text on the page (Google Search Central).
8. Show a date and keep facts current. A page with this year's prices is easier to trust than one with no date.

Before and after: making a paragraph quotable

Here is a typical pricing paragraph:

Before: Our platform offers flexible, affordable plans designed for teams of every size, so you can find the option that fits your goals and scale as you grow.

Nothing in it can be quoted as an answer to "How much does it cost?". There is no number, no unit and no condition. Here is the same paragraph rewritten with our own pricing as the example:

After: XeoRank Starter costs $19 a month for one site, with a 14-day free trial and no card required. Pro costs $49 per site a month. XeoRank asks ChatGPT, Gemini (grounded in Google Search) and Perplexity your buyer questions.

The second version answers the question in its first sentence, names the product, gives prices with units, and names the engines it asks. An assistant can repeat either sentence without the rest of the page. The figures come from our pricing page.

How to measure AEO

Rankings tell you where your link sits. They do not tell you whether you are the answer. To measure AEO:

• Write a fixed set of 20 or so questions your buyers ask, without your brand name in them. "What is XeoRank?" will name XeoRank and proves nothing.
• Ask them on a schedule, on each engine you care about, and keep the set unchanged so the trend means something.
• Record two things per answer: whether your brand is mentioned, and whether your site is cited with a link. They often differ.
• Record which domains are cited instead of you. That list tells you which pages to improve and which sites you need to be named on.
• Report each engine on its own. Profound found that how long a page stays cited on one engine says almost nothing about how long it stays cited on another, with correlations of 0.03 to 0.09; in its words, "The engines decide independently." In our own check on 13 October 2026, four questions about SEO platforms asked on ChatGPT, Gemini and Perplexity produced 12 answers citing 93 different domains.

Answers also churn. Profound reported that the half-life of an AI citation is about 11 days, so a single check is a snapshot. Weekly checks over a month tell you more.

XeoRank asks ChatGPT, Gemini (grounded in Google Search) and Perplexity your buyer questions and shows each engine separately, next to an overall rate, your Search Console data and technical audit; see pricing for what each plan includes. It covers fewer engines than some dedicated trackers and has no prompt-volume estimates. Our roundup of AI visibility tools compares the alternatives.

Common AEO mistakes

Tracking branded prompts. Asking an assistant about your own brand name almost always returns your brand, and it tells you nothing about whether you show up when a buyer asks a category question.

Using a blended score. A single "AI visibility" number averaged across engines hides the engine where you are missing. If you are cited on Perplexity and absent from ChatGPT, a blended score of 50% points you at the wrong fix.

Treating FAQ schema as a magic fix. FAQPage markup helps machines parse a page that really is a list of questions, but it is not a citation guarantee. Google limited FAQ rich results to well-known government and health sites in August 2023, and its FAQ documentation records that FAQ rich results stopped appearing in Google Search on 7 May 2026. Google also says there is no special schema you need to add to appear in AI Overviews or AI Mode (Google Search Central).

Writing for the machine and not the reader. Repeating the keyword in every heading does not help. The GEO paper found keyword stuffing did little, and a page that reads badly is less likely to earn the links and mentions that make engines trust it.

Ignoring the pages that are cited instead of you. For commercial questions, AI answers often cite roundups, comparisons and review sites. If those pages list your competitors and not you, improving your own page will only go so far.

Where to start

Pick the five questions that matter most to your sales, ask each engine, and note who gets cited. Then fix the page that should answer each one using the checklist above. If you want a starting list of problems on your site, run a free site analysis, or see how AI visibility tracking works in XeoRank.