GEO Content & Entity Architecture

The inventory lists the entities the brand needs to be understood by: the organisation (official name, short and long description, founding facts, area served, contact points); people, limited to founders, leaders or authors you approve; services and products with scope and audience; locations where you actually operate; and topics where the brand has real expertise. Each row records its source and approver.

The entity map turns that list into site architecture. Every question cluster gets one responsible page, and relationships are made explicit: a service page points to the organisation, the organisation page to its people, an article to its author and the service it supports. Internal links follow those relationships, forming an entity graph rather than loose related-post links. Two pages answering one question are flagged as a conflict.

Answer engines look for one clear statement about you. Source-of-truth pages hold those statements: the about or organisation page, one page per service, policy pages such as returns, privacy and terms, and a pricing-approach page that explains how you price even if you publish no figures.

We draft them; your approvers sign off every claim, with legal wording reviewed by your counsel and clinical wording by your clinicians. Each page carries a last-reviewed date and an accountable-person line, added only when a real person holds that responsibility.

Models learn about a brand from far more than its own site. When business profiles, directories, social profiles and reference databases disagree, the brand is skipped or blended with someone else. We carry the approved record into each source and list, per profile, the current state, the correction and the account owner. Google Business Profile listings follow the Google Business Profile guidelines.

A Wikidata item is proposed only where the brand meets Wikidata's notability policy. Fake reviews, paid list placements, bulk directory submissions and paid mentions are not part of this work. For sources outside your control we prepare and track a correction request.

An answer-ready passage makes sense without the rest of the page; this is what content structured for AI citation means in practice. Each priority question opens with a block of forty to a hundred words whose first sentence answers it directly; headings are phrased as the questions readers ask; terms are defined where they first appear.

Comparisons go into tables and procedures into numbered steps. Context-dependent phrases such as as mentioned above are removed, and each passage names its subject. Figures, dates and standards carry a date and a source. Author and reviewer lines are used only for real people. New text is produced natively in each language with reviewer approval; we do not mass-produce content with AI.

Every language version must describe the same entity. The official Latin-script name is fixed; Arabic- and Persian-script spellings follow one transliteration decision, with other common spellings kept as alternateName values. The Organization node uses the same @id in every language, so the versions never look like separate companies.

Service names use the term each audience searches for, while hreflang pairs and a shared identifier in the markup tie them to one service. Arabic and Persian pages are written natively in right-to-left layout and approved; machine translation is never used as a source-of-truth page.