Access
Can the public page be collected under applicable robots rules, and what could not be observed?
METHOD · VERSION 0.1
QUERY → EVIDENCE → ACTION
The method starts with a buyer decision, not a technical checklist. It then preserves the source, observation date, missingness and interpretation limit behind every claim.
THE RESEARCH SEQUENCE
Automation directs review. It does not make the final judgement about local responsibility, proof quality or cross-language meaning.
State the decision that evidence must support and the population to which any result may apply.
Use dated, inspectable population sources and publish inclusion and exclusion rules.
Use a disclosed research user agent, respect applicable robots rules, retry cautiously and retain outcome classes.
Use discovered routes to inspect product, purchase, operating and verification evidence in context.
Time the work, blind re-code selected cases and revise fields that do not produce repeatable decisions.
Release denominators, missing observations, source dates, corrections and the narrowest defensible interpretation.
WHAT GETS REVIEWED
A language route is one layer. It is never used as a proxy for a complete buying path or for AI visibility.
Can the public page be collected under applicable robots rules, and what could not be observed?
Can a Japanese buyer reach and understand the product and relevant use case?
Can the buyer move to pricing, trial, demo, contact or procurement without an inconsistent handoff?
Who sells, implements and supports the product in Japan?
Can the buyer find relevant customer, partner, security, compliance and third-party proof?
Do controlled answer panels surface the company and cite the exact supporting page?
AI OBSERVATION
AI-answer checks use a fixed prompt panel, declared locale and account assumptions, dated full answers and exact cited URLs. A mention without a citation is recorded separately. Results describe that controlled run; they do not estimate every model, user or buying situation.