GEO — visibility in generative search
This is a practice methodology, not a client case study. It describes how I work on Generative Engine Optimisation: making a brand and its content legible to generative engines — the systems that summarise, cite, and recommend rather than rank ten blue links.
01Entity clarity
The brand, its offerings, and its expertise are defined consistently across the site and its profiles, so generative systems can resolve who is being cited and why.
02Topical authority
Coverage is built in connected clusters rather than isolated posts — the breadth-plus-depth pattern generative engines draw on when composing answers.
03Citation-worthy content
Original explanations, clear definitions, and concrete detail give engines specific passages worth quoting, instead of generic copy they will skip.
04AI-search visibility analysis
Brand presence in AI search experiences is checked and logged over time, feeding what gets written and restructured next.
05Selected screenshots & visuals
Worked examples will be published here as this practice area grows.
06What this practice covers
07Tools used
08What I learned
Generative engines cite whoever is clearest — ambiguity, not competition, is usually what keeps a brand out of the answer.