Opportunity Prioritization

Framework · AI visibility · visibility-adapted

Rank what to fix next by evidence, whitespace, and impact.

What it is

Opportunity prioritisation turns a pile of gaps into an ordered queue, weighing how winnable each opportunity is against how much it matters.

How Magrios runs it on evidence

Magrios scores each opportunity from evidence it already holds — demand signal from question breadth, whitespace from how contested the question is, and confidence from citation depth — and ranks them so the next move is the highest-value one you can actually win.

Adapted for the visibility market: this framework measures question volume, share of voice, and citation coverage — real, sourced counts — rather than fabricated revenue.

How to build it

1. Score demand, whitespace, and evidence confidence per opportunity.
2. Rank by the weighted score.
3. Execute top-down and re-scan to confirm movement.