Introduction
Generative Engine Optimisation (GEO) is a term for practices intended to improve how a brand or its content is understood, surfaced, or referenced by generative AI search experiences. Terminology and systems continue to evolve. GEO is best treated as an extension of useful publishing and sound SEO—not a guaranteed route into AI answers.
How GEO relates to SEO
AI-assisted experiences need information they can discover and interpret. Accessible pages, clear structure, original information, and trustworthy business details can support discoverability. Indexing does not guarantee that a page will be cited or mentioned in an AI-generated answer.
Practical actions
Publish original expertise and first-hand examples. Answer specific questions clearly, then explain context and limitations. Keep company, service, product, and author details consistent. Cite authoritative sources for statistics, policies, and technical claims. Make important information available as crawlable text and earn genuine references from relevant sources.
What to avoid
Do not promise that a particular schema, AI file, word count, or keyword density will secure AI citations. Avoid mass-produced thin pages, fabricated statistics, and structured data that does not match visible content.
Measurement and conclusion
Test a consistent set of realistic customer questions in relevant AI search products and record mentions, accuracy, and cited sources. Track referral traffic and enquiries where measurable. Manual tests are snapshots and can vary. The sustainable strategy is useful, distinctive, trustworthy, accessible content.
Frequently asked questions
Does GEO replace SEO?
No. GEO is a developing term for visibility in generative experiences; foundational SEO remains important.
Can I guarantee AI citations?
No. AI answers and citations depend on systems and context beyond a publisher’s control.
Do I need special GEO schema?
There is no universal special GEO schema that guarantees AI visibility.
