Generative Engine Optimization (GEO) is about being selected and cited by generative AI engines: the systems that read a question and write an answer, like ChatGPT, Perplexity, and Google’s AI overviews. It overlaps heavily with AEO (Answer Engine Optimization). Both aim to make your content the trusted source behind an AI answer. GEO simply puts the emphasis on being chosen as a source, and on understanding how these engines pick sources in the first place.
AI search is the broad shift behind all of this: instead of typing keywords and scanning a list of links, people ask a question in plain language and get a written answer, often with a handful of cited sources. GEO is the practice of making sure one of those cited sources is you.
How AI engines pick sources #
A generative engine does not read the whole web for every question. It works from what it can reach, parse, and trust, then leans hardest on the sources that make its job easiest. In broad terms, it favors content that clears three bars:
- It can reach and read you
- The page has to be accessible to an AI crawler and parse cleanly, without blocks, logins, clutter, or content that only appears after heavy JavaScript. A source it cannot open is not a source at all.
- It can understand you clearly
- It prefers clear, specific, well-structured facts over vague marketing copy. Concrete statements (what you do, who it serves, what it costs, where you operate) are easier to lift into an answer than fuzzy claims.
- It can trust and attribute you
- It leans on corroborating signals: structured data that states facts explicitly, details that stay consistent across your pages, and a clear source it can point back to. Content it can attribute cleanly is safer to cite than content it has to paraphrase from a tangle of HTML.
What makes content citable #
Citable content is content an AI can quote and attribute with confidence. A few practical traits raise the odds:
- Answer-first writing: state the answer plainly near the top, then support it, so a machine can lift a clean, quotable statement.
- Specific, checkable facts: names, prices, dates, locations, and steps beat adjectives and hype.
- Clean structure: real headings, lists, and tables that make the shape of the content obvious to a parser.
- Explicit structured data: schema markup that labels your key facts so the engine reads them rather than inferring them.
- A clear source to point back to: content with a title, dates, and a stable URL is easy to attribute.
- Consistency across pages: the same facts everywhere, so the engine is not choosing between conflicting versions of you.
GEO and AEO: the same work, two names #
GEO and AEO are close cousins and are frequently used interchangeably. The distinction is one of emphasis, not method.
| AEO | GEO | |
|---|---|---|
| Emphasis | Being the answer | Being the source the engine chooses |
| Question it asks | Can AI answer using my facts? | Will AI pick and cite my content? |
| The actual work | Accessible, clear, structured, schema-backed content | The same |
How SuperSchema helps #
SuperSchema works on exactly the signals generative engines use to pick sources, and gives you a way to see whether it is working.
- A free Site Scan grades how reachable and readable your pages are today, so you know where the gaps are.
- Generated schema markup states your key facts explicitly, making them easy for an engine to read and attribute.
- AI-readable files give engines a clean copy of your content instead of a layout to fight through.
- Bot tracking shows which AI crawlers are actually visiting your pages, so you can confirm the engines can reach you.
- Over time, Citation Score measures the share of AI answers that actually cite you, which is the real GEO scoreboard.