Content Strategy: create content AI chooses
AI-optimized content is not ordinary content. It answers questions before they are asked, front-loads clarity — title, intro, headers — because models scan the top 15–20% of a document, and it is built for extraction: definitions, comparison tables, FAQs. Behind every piece sits a system: topical authority maps that make you the reference on your themes, E-E-A-T signals (named experts, sources, first-hand experience) that both Google and LLMs reward, and a refresh cadence that keeps your content the most current answer available.
Global brands we have made unavoidable for AI
How the mission unfolds
Realistic timelines, measured at every step. No overnight promises — a method.
01Weeks 1–4
Topical audit & editorial strategy
- Topical authority map: what you must own to be cited by AI and ranked by Google
- E-E-A-T audit: authors, credentials, proof of expertise
- Editorial calendar prioritised by revenue impact and citation potential
02Months 2–6
Production sprints
- Answer-ready formats: opening summaries, FAQ, tables, definitions, structured comparisons
- Expert content built with your teams: interviews, data, first-hand experience
- Multiformat declination: articles, guides, social, video scripts
03From month 4 (continuous)
Refresh, authority & measurement
- Systematic refresh cycles on decaying content
- Internal linking and topical clusters consolidation
- Citation tracking: which content AI engines actually quote, doubled down on