Answer Engine Optimization (AEO)

Answer engine optimization (AEO) is the work of getting your brand named, and ideally cited with a link, inside the answers AI systems write. The prize is a place in the answer itself: one of the few brands named when a buyer asks ChatGPT, Perplexity, Gemini, or Google AI Overviews a question.

AEO, GEO (generative engine optimization), and LLMO (large language model optimization) are overlapping names for the same work. They were coined at different times for different interfaces, and none of them changes what you do.

Your buyers already ask these engines. In Forrester's State of Business Buying 2026 research, 94% of business buyers report using AI during their buying process. This entry defines AEO, sets out how it differs from SEO, and gives the steps in the order that works.

What Counts as an Answer Engine

An answer engine replies to a question with one written answer instead of a page of links. ChatGPT, Perplexity, Gemini, and Google AI Overviews all work this way, and so do voice assistants that read a single answer aloud.

That format is why the discipline exists. A results page shows 10 options and lets the reader choose. An answer has already chosen, and it usually names only a handful of brands.

How these systems retrieve sources and assemble the answer is covered in the AI search engine entry.

AEO, GEO, and LLMO: Three Names for One Job

The labels come from different moments, which is most of the reason there are three of them:

• AEO is the oldest. A 2018 brightonSEO talk was already titled A Universal Strategy for Answer Engine Optimisation, when the answer to win was a featured snippet or the single reply a voice assistant reads out.
• GEO comes from research. A November 2023 paper, GEO: Generative Engine Optimization, named the practice of making content more visible in the responses generative engines write. It was accepted to KDD 2024.
• LLMO names the model instead of the interface. Large language model optimization describes the same goal from the layer underneath, and it has its own entry under LLM optimization.

We use AI SEO as the umbrella for all three. The practices do not split by label: answer-first pages, a consistent description of your brand, and corroboration on other sites serve every one of these engines.

AEO vs. SEO: What Changes and What Stays

AEO builds on SEO rather than replacing it. SEO works for a position on a results page. AEO works for a sentence inside an answer, and most of the foundations carry over.

Three things stay the same:

• Pages have to be crawlable and indexed. An answer engine that searches the web can only cite a page its search step retrieved.
• Google says the rules have not changed for its own AI features. Its guidance on AI features states there are no additional requirements to appear in AI Overviews or AI Mode, and that SEO best practices remain relevant.
• Authority still counts. It is read from what other sites say about you as much as from your own pages.

Three things change:

• The unit is the passage, not the page. An engine lifts a few sentences, so each section has to make sense on its own.
• The measure is mentions and citations across a set of prompts, not one position for one keyword.
• Classic tactics do not all carry over. In the GEO paper's tests, keyword stuffing did worse than making no change at all, while adding cited sources, quotations, and statistics raised a page's share of the generated answer by 30% to 40% in relative terms, on the paper's own benchmark.

GEO vs SEO sets out how the two disciplines fit together in more depth.

What AEO Work Covers

At the level of a definition, the work has four parts:

• Answer-first pages: Each page states its answer in the opening lines, so a passage can be quoted without rewriting. Building pages this way is content engineering.
• One consistent description of your brand: Your site, your listings, and the third-party pages about you should say the same thing about what you do and who it is for.
• Presence on the sources answers already cite: Answer engines weigh what trusted sites say about you, not only what you say about yourself.
• A tracked set of buyer prompts: You check, on a schedule, whether the answers to the questions your buyers ask name you and link to you.

The complete AI SEO guide covers the wider discipline these four parts belong to.

How to Do Answer Engine Optimization, Step by Step

Answer engine optimization runs in six steps: record a baseline, make your pages reachable, rewrite the pages that matter answer-first, add evidence a model can quote, get named on the sources answers already cite, and measure again. Each step gates the next, so the order matters more than the effort spent on any one of them.

Step 1: Record a baseline on a fixed prompt set

Write down the questions your buyers ask an AI before they buy, in the words they would type. Run them on each engine and record which brands every answer names and which pages it cites.

This changes nothing on your site, and that is the point. Without a baseline you cannot tell which later change moved the result.

The check: the same prompt set, run on every engine you care about, with the named brands and cited URLs saved.

Step 2: Make sure answer engines can reach your pages

This decides whether your pages are candidates at all. An engine that searches cites from the pages it retrieved for that one answer, so a page outside its index is never in the running.

The check: your robots.txt allows the search crawlers each engine documents, and your key pages are indexed. How LLMs choose sources sets out which index each engine retrieves from, and the five steps a page has to survive before it is cited.

Step 3: Rewrite your highest-intent pages answer-first

A rewrite makes each passage liftable on its own. Put the answer to each heading in the first sentences under it, so the passage still works when it is quoted alone.

Start with the pages behind your comparison and buying questions, not your blog archive. The AI content optimization guide covers how to rework an existing page.

The check: read only the first two sentences under each heading. If they answer the heading on their own, the section is ready.

Step 4: Add evidence a model can quote

Evidence sets how much of your page ends up in the answer. Named sources, specific numbers, and short quotations are the additions the GEO paper found most effective.

The check: every number on the page carries a named source, and each key claim fits in one sentence a model could repeat.

Step 5: Get named on the sources answers already cite

Third-party presence gives an engine agreement about you beyond your own site. Review sites, comparison articles, forums, and industry press are where it looks for that agreement.

The check: list the domains cited in your baseline answers. For each one that matters, ask whether you appear on it, and whether it describes you the way your own site does.

This is the slowest step, so start it alongside step 2 rather than after step 4.

Step 6: Re-run the prompt set and read the trend

The re-run tells you what to work on next. Compare how often answers name and cite you against the baseline, across the whole prompt set.

The check: you judge the trend across all your prompts, never one good or bad answer.

These six steps are the short version. The guide to improving AI search visibility gives the full order of work, with the effort and time to effect of each lever. The AI search engine optimization checklist breaks the steps into 18 checks you can work through top to bottom.

AEO Strategy: Who Owns Each Part

An AEO strategy decides three things: which prompts you want to win, which pages should win them, and who on your team owns each step. The last one is where most plans stall, because no single role covers all of the work.

A workable split looks like this:

• Developer or technical SEO: crawler access, indexing, and structured data (step 2).
• Content lead: answer-first rewrites and the evidence on each page (steps 3 and 4).
• PR, partnerships, or community: presence on review sites, comparison articles, forums, and industry press (step 5).
• Marketing lead: the prompt set, the baseline, and the monthly read of the trend (steps 1 and 6).

Choose prompts by buying stage. A question asked while comparing vendors is worth more than a definition question, because the brands named in that answer form the buyer's shortlist.

Review the prompt set every month. Drop questions no buyer asks, and add the ones your sales calls keep surfacing.

AEO Marketing: What Changes for a Marketing Team

AEO marketing is the marketing side of the same work: shaping what the sources an AI reads say about your brand. It moves part of the job off your own site and into channels most SEO plans never touched.

Three shifts matter most for a marketing team:

• Your description has to match everywhere: If your site, review profiles, directory listings, and partner pages describe you differently, the answer has no clear story to repeat.
• Earned mentions count directly: A comparison article or a forum thread that names you can be the passage an engine cites, so PR and community work become search work.
• Being in the answer tends to repeat: Ask an AI the same question again and roughly half the time the same brand comes back. In RankZero's own tracking data, across 368 prompts run 10 or more times, the most-named brand appeared in 50.9% of that prompt's runs (96,720 answers, June to September 2026).

That last point is why early work pays. The brands already named for a question keep showing up, so the cost of waiting is every answer your competitor wins in the meantime.

How AEO Is Measured

AEO is measured in answers, not rankings. Two numbers matter most: how often answers to your tracked prompts name you, and how often they cite your pages as a source, which is an AI citation.

Your own analytics add a third, the sessions that arrive from AI referrers. Treat that number as a floor. In Pew Research Center's study of Google searches, users who saw an AI summary clicked a traditional result in 8% of visits, against 15% for users who saw none. Much of the value of being named never becomes a click.

Google Search Console now has a generative AI performance report, rolled out to all websites as of August 31, 2026. It counts impressions from AI Overviews and AI Mode. It does not show whether an answer named your brand, so it adds to a prompt set rather than replacing one.

Any single answer can change between runs, so read the trend across the whole prompt set rather than one check on one prompt. RankZero runs tracked prompts daily across ChatGPT, Perplexity, Gemini, and Google AI Overviews. Claude can be added on request and is not part of that daily set.

The AI search tracking guide covers how to set tracking up.

Getting AEO Done for You

RankZero runs AEO as a done-for-you service for B2B SaaS and ecommerce brands, covering technical fixes, answer-shaped content, earned citations, and the tracking above.

The AEO and GEO service page covers what the program includes, and it is where you book a call.

If you want to know where you stand first, get your AI Search Audit. It is a free 15-minute call: we put your buyer questions to ChatGPT, Perplexity, Gemini, and Google AI Overviews and show you which brands and pages get named instead of yours.

Frequently Asked Questions