What GEO means
Generative engine optimization describes work intended to improve the visibility of source material in systems that compose an answer instead of returning only a list of links. These systems may run several related searches, compare sources, and synthesize a response from the information they retrieve.
For a website, visibility can mean a company mention, the use of a fact from a page, a citation, or a supporting link that lets the reader explore the source.
How GEO differs from SEO
Traditional search visibility is often measured through rankings and visits from a results page. A generative answer may have no comparable linear list. Several sources can contribute to one response, and a link may support only a particular statement.
GEO does not replace SEO. When a system retrieves sources through web search, pages still need to be accessible and eligible for indexing. Google states that its normal search requirements apply to AI Overviews and AI Mode, with no special markup required for inclusion.
How content reaches a generative answer
The exact process varies by platform and query. In simplified form, a system may:
- interpret the question and generate related searches;
- retrieve relevant web pages and other available sources;
- extract facts, definitions, and passages connected to the question;
- compare information across several sources;
- compose an answer and show supporting links when the interface allows it.
Platforms use different models, indexes, and source-selection rules. The same page may therefore appear in one system's response and remain absent from another.
What can be improved on a website
The practical work starts with the familiar search foundation: crawl access, indexability, internal links, and coherent site architecture. The next question is whether a system can extract a useful answer from the page without losing its context.
- Place a direct definition or answer near the heading that introduces the question.
- Separate different user questions into clear sections.
- Support verifiable claims with primary sources, data, and enough context to interpret them.
- Name the company, product, author, and subject unambiguously.
- Keep important information available as text instead of hiding it only in an image or interface.
- Make sure structured data agrees with the visible page.
These measures remain useful without the GEO label. They make a page clearer for readers, search crawlers, and systems that extract information from web sources.
What remains experimental
GEO has no universal standard or fixed checklist. A method observed on one platform or query set cannot be assumed to work across every generative system.
Optional files such as llms.txt can be tested when they are inexpensive to generate and maintain. Google does not require an AI-specific file or special schema.org markup for AI Overviews and AI Mode. The presence of such a file cannot guarantee a mention or citation.
How GEO can be measured
There is no single GEO metric. A practical review can track a stable set of prompts, record mentions and citations, examine referrals from systems that expose their traffic source, and measure what those visitors do after reaching the website.
These observations should be kept separate from ordinary organic search data. One appearance is not stable visibility, and the answer may change when the same question is asked again.
GEO, AEO, and LLM SEO
The terms overlap. AEO usually focuses on making a concise answer available to search and conversational interfaces. GEO deals specifically with visibility inside generative responses. LLM SEO is often used as a broader label for work on how websites and brands appear in systems built on large language models.
In practice, a hard boundary is rarely useful. A site first needs a sound SEO foundation, followed by clear answers, verifiable information, and content that systems can access and interpret.
Related reading: the SEO definition and the guide to SEO for AI search.