01GEO
RANKEarn citation visibility
Reference Authority · Actionable Insights · Niche Specificity · Knowledge Freshness
Evidence narrative · 03
The complete proof chain.
Every claim is separated into problem, judgment, ownership, shipped work and measured result.
Business problem
Content teams were still optimising mainly for Google while buyers increasingly searched inside ChatGPT, Perplexity and Gemini. Advice on the shift was fragmented and difficult to operationalise.
Insight found
AI visibility is not one job. Answer extraction, source citation and conversational interaction require different decisions—AEO, GEO and AIO needed to be separated before they could work together.
Recommendation made
Create one practical operating system: original frameworks for each visibility layer, backed by question-research workflows, publishing checklists, templates and a weekly tracking rhythm.
Scope personally owned
I independently owned the research synthesis, framework design, writing, information architecture, examples, Notion publishing and public distribution of the resource.
People / functions coordinated
This was a self-directed lead magnet designed for marketers, founders and content teams. No cross-functional implementation or client outcome is claimed.
What shipped
A public 28-page LLMSEO playbook with three original methods, six research workflows, optimisation checklists, a tracking template and copy-ready snippet library.
Result
The public Notion page recorded 357 total all-time views, demonstrating continued discovery beyond the initial launch window.
What changed because of my judgment
A broad, noisy topic became a diagnostic system: teams can identify whether they need answer visibility, citation visibility or interaction visibility—and choose actions accordingly.
