Less jargon. More understanding.
Reading paths, straightforward definitions, and practical answers for teams finding their footing in AI search.
Choose your starting point.
Get clear on the terms.
Learn how GEO, AEO, and SEO overlap, and which fundamentals still matter.
Read the guide PLAN THE FIRST CYCLEGo from questions to work.
Build an audit that ends with evidence, priorities, and a clear owner.
Read the guide MAKE MEASUREMENT USEFULKnow what the numbers mean.
Separate answers, visits, and business outcomes in your reporting.
Read the guideA glossary you can use.
- GEO
- Generative Engine Optimization: work to improve how a business and its information are understood, mentioned, and cited in generated answers.
- AEO
- Answer Engine Optimization: work that makes information easier to use as a clear, relevant answer to a question.
- SEO
- Search Engine Optimization: improving a website’s discoverability and usefulness in search through content, technical access, and a good user experience.
- Mention
- An occurrence of a brand name in an observed answer. A mention does not by itself establish a recommendation or a website visit.
- Citation
- A source referenced or linked by an answer. Record the source URL and context; a citation is distinct from an endorsement of the business.
- Prompt cohort
- A defined group of questions sampled under documented conditions, such as audience, language, market, and engine surface.
- AI referral
- A website visit with an observable source associated with an AI service. It captures only part of the wider discovery journey.
- Canonical URL
- The preferred address for a page when similar or duplicate addresses exist. Canonical declarations help communicate that preference to search engines.
- Structured data
- Machine-readable statements about the content of a page. They should describe visible, accurate information and use appropriate vocabulary.
- Qualified inquiry
- A delivered inquiry that meets the business’s agreed criteria for a relevant opportunity, reviewed separately from clicks and form interactions.
A few useful distinctions.
Where should a team start with GEO?
Start with a defined audience, the decisions they need to make, and a review of your current pages. Document a small, relevant set of questions and use the resulting evidence to prioritize the first improvements.
Do we need a separate page for every prompt?
No. Group questions that share the same purpose. Create a distinct page when it provides a genuinely different explanation or serves a different buyer task. Slight wording variations rarely justify separate pages.
Can a mention or citation prove that revenue came from AI?
No. An answer observation, a recorded visit, and a qualified opportunity are different pieces of evidence. Connect them where reliable data permits, and explain the gaps where attribution is incomplete.
Can Citevia guarantee a recommendation?
No. Independent search engines and AI providers control their own outputs. An engagement can define the work, evidence, and measurement process that Citevia will deliver, with clear limits on what the observations mean.
Are the example case studies client results?
No. They are constructed educational scenarios that explain a proposed approach. They contain no achieved client results and are labeled as examples on the directory, cards, and detail pages.
How often should the content be reviewed?
Review it when the underlying facts change. Product releases, revised service scope, new evidence, and corrected source claims are useful triggers. Keep original publication dates and change modification dates after meaningful revisions.
Find the facts and the source material.
A short company reference and readable content files are available alongside the website. Our guide to crawl and discovery files explains their different purposes.
See where to act.
Understand how your brand is described, where the gaps are, and which next step deserves your attention.
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