ANSWER
Answer engine optimization (AEO) is the practice of making your business easy for AI systems to understand, verify, and recommend, so you get named when someone asks ChatGPT, Google AI Overviews, or Perplexity who to hire. SEO competes for a position on a results page. AEO competes to be included in the answer.
For twenty years the goal was a position on a results page. The buyer saw ten options and picked. Being fourth still got you clicks.
An answer names two or three businesses and stops. There is no fourth. Being close to the cut is the same as being invisible, which is why the work needed a different name and a different method.
In marketing, AEO is the channel that decides whether your brand comes up when a buyer asks an AI assistant instead of scrolling a results page. It sits next to SEO, paid search and social, but the goal is different. You are not chasing a click. You are trying to be the name inside the answer.
For a marketing team that changes three things. Success is measured as share of answer: how often you get named for the questions your buyers actually ask. Content is written answer first, so a single passage can be quoted on its own. And your brand facts (services, service area, hours, reviews) have to match everywhere, because AI systems cross-check before they recommend anyone.
None of this replaces the basics. Google says there are no extra requirements to appear in AI Overviews or AI Mode beyond being indexed and eligible to show a snippet (Google Search Central). AEO is built on top of SEO, not instead of it.
The specifics vary by business, but the categories are consistent.
It is not keyword stuffing for robots. It is not writing content for machines that no human would read. It is not a plugin, and it is not a one-time cleanup you finish.
Anyone selling AEO as a single deliverable with an end date has misunderstood the problem. The platforms change constantly, so the alignment has to be maintained.
GEO stands for generative engine optimization. The term comes from a research paper by a team including Princeton University researchers, presented at KDD 2024, which found that specific content changes could boost a source’s visibility in generative engine responses by up to 40 percent (Aggarwal et al., arXiv). Adding statistics and quotations helped. Keyword stuffing did not.
In practice, AEO and GEO describe the same job from two angles. AEO is the marketing term, focused on getting named in answers from assistants and AI search features. GEO is the research term, focused on how generative models pick and cite sources. Most agencies use the two interchangeably. For a side by side view, read AEO vs SEO vs GEO.
Businesses where buyers ask for a recommendation rather than browse: home services, legal, medical, trades, professional services, and anything with a service area rather than a storefront. If your buyer is more likely to ask who should I call than to compare ten tabs, this is your channel.
AEO is easier to picture than to define. These are the kinds of changes that make a business easier for AI to name. For more detail, see our full list of answer engine optimization examples.
Related answers: AEO vs SEO vs GEO, answer engine optimization examples, how to get recommended by ChatGPT, how to show up in Google AI Overviews, why you are not showing up in AI search, our AI search glossary, and how we deliver AEO. Want the short version for your business? Start with a free AEO and SEO audit.
The free audit scores the signals AEO depends on and shows you what AI currently believes about your business.
No. It extends it. Good SEO fundamentals still matter, and Google has said the same. AEO adds the verification and entity layer that SEO never had to solve.
Entity and structure work shows movement in weeks. Corroboration and authority compound over months.
No. Small service businesses often gain the most, because clarity and reviews are within reach in a way that outspending a national brand never was.
In marketing, AEO (answer engine optimization) is the work of getting your brand named when buyers ask AI assistants for a recommendation. It covers answer-first content, consistent business facts across the web, reviews and third-party mentions, and structured data. The goal is not a click from a results page but a mention inside the answer itself, measured as share of answer.
AEO (answer engine optimization) and GEO (generative engine optimization) aim at the same outcome: being named or cited by AI. AEO is the marketing term and covers answers in assistants and AI search features. GEO comes from academic research on how generative models select sources. In day to day work the tactics overlap almost completely, so most teams treat them as one discipline.
A roofing company rewrites its service page so the first two sentences answer "how much does a roof repair cost," updates its Google Business Profile so hours and service area match the site, adds FAQ structured data that mirrors the visible questions, and asks recent customers for reviews. Each change makes the business easier for an AI system to verify and name.
Not strictly. Google says there is no special schema.org markup required to appear in AI Overviews or AI Mode. Structured data still helps machines read your business facts without guessing, as long as it matches what is visible on the page. Treat schema as a clarity layer on top of good content, not a shortcut around it.
Track share of answer. Write down the ten to twenty questions buyers ask before they hire someone like you, run them through ChatGPT, Google AI Mode, Gemini and Perplexity each month, and record who gets named. Pair that with Search Console data, since Google includes AI Overviews and AI Mode traffic in its Performance report under the Web search type.
