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Content GEO

Writer — E-E-A-T, citability, structure, entity signals.

For

Content strategists, technical writers, editors.

You should already know

GEO 101 Steps 1–4.

After this path

You can write a page that AI engines are structurally likely to cite.

1. 01 E-E-A-T for AI

   E-E-A-T is the trust gate at grounding time — orthogonal to citability (the shape gate), not a competitor to it. Plus the counterintuitive empirical finding: LLMs weight relevance over many of the 'authority' style cues humans care about.

2. 02 Citability: writing for extraction

   A page can be authoritative and still uncitable. Citability is a separate property — definition density, claim attribution, paragraph rhythm — and the audit playbook is how you self-check whether your own prose is actually liftable.

3. 03 Structure: the formats engines prefer

   TL;DRs, definition lists, tables, FAQ blocks — the formats engines reach for first when generating an answer. The same structural cues are also what makes content look AI-generated, so the lever has a ceiling.

4. 04 Entity & brand signals in copy

   Engines can only cite an entity they resolve to a known node. How you name yourself, your products, and your authors — and whether you have a Wikipedia/Wikidata foothold — decides whether credit actually lands on you.

5. 05 Multilingual & multimodal extensions

   Citations cross languages and modalities — but per-language source pools differ enough that translation isn't the same as multilingual GEO, and the text channel attached to your images and video still beats pixel vision in 2026.

6. 06 Anti-signals: AI detection and freshness

   If your content reads as AI-generated, you may be down-weighted — but the engine isn't really detecting AI use. It's detecting low-effort scaled patterns, which humans hit too. Freshness signals are a paired anti-signal worth tuning together.