TermMarketingJuly 26, 20261 min

GEO (Generative Engine Optimisation)

Structuring content so AI answer engines can quote it accurately — the successor problem to ranking in a list of blue links.

Generative Engine Optimisation (GEO) is the practice of structuring content so that AI answer engines — such as ChatGPT, Perplexity and AI Overviews — can extract and cite it correctly. In practice it means providing direct, self-contained answers near the top of a page, marking content up with accurate schema.org structured data, stating facts explicitly rather than implying them, and keeping claims verifiable, since answer engines cite sources they can parse unambiguously.

Traditional SEO optimises for a position in a list of links. Answer engines do something different: they read pages, synthesise a response, and cite a handful of sources. GEO is optimising to be one of those sources.

What actually helps

Answer first. A self-contained paragraph that answers the question without needing the rest of the page.
Explicit facts. Say the thing. Implication and brand voice do not survive extraction.
Accurate structured data. schema.org markup that genuinely describes the page type.
Verifiability. Dates, sources and specifics. Unsupported claims get dropped or, worse, attributed to you incorrectly.

None of this conflicts with conventional SEO. It is mostly the discipline of writing clearly and marking up honestly.

GEO (Generative Engine Optimisation)

What actually helps

Glossary

ERP (Enterprise Resource Planning)

ZATCA / Fatoora

RAG (Retrieval-Augmented Generation)