Arrow Arrow / Demand model
Build around decisions buyers actually make.
AI visibility begins with the questions that occur before a purchase: compare, verify, qualify, scope and decide.
/ THE PROBLEM
Publishing broad explainers creates activity. It does not necessarily give an answer engine a credible page for the specific decision a buyer is trying to make.
Arrow’s role is to turn this into a governed public-information problem: identify the source of truth, improve what a buyer can verify and avoid unsupported claims.
/ HOW THE MODULE WORKS
A bounded implementation sequence.
- 01
Map decision stages
Distinguish discovery, comparison, qualification, pricing, implementation and risk questions.
- 02
Choose the answer destination
Give each question one useful page rather than creating overlapping explanations.
- 03
Attach proof
Connect the answer to an approved methodology, implementation detail, case or operational source.
/ OUTPUT
A question map that connects each priority decision to a precise Arrow page, a proof owner and a measurable outcome.
This module is designed to make the next business decision easier to evaluate. It is not a promise of being cited or recommended by a specific AI product.
Useful next sources: Open the buyer question library · See answer-oriented GEO pages · Prioritize your buyer questions.
/ CONTINUE THE SYSTEM
The other operating modules.
Entity clarity · Proof and citations · Visibility measurement