Readiness framework
AI Recommendation Readiness
Recommendation readiness means improving the public signals that help a business become discoverable, understandable, verifiable and useful when an AI system evaluates sources.
Five readiness areas
1. Technical accessImportant pages are public, crawlable, indexable where appropriate and connected through normal links.
2. Entity clarityThe business name, services, audiences, relationships and contact details are consistent and easy to interpret.
3. Useful answersPages answer the real questions customers ask at research, comparison, buying and troubleshooting stages.
4. EvidenceClaims are supported with real examples, original data, sources, authorship, credentials or other appropriate proof.
5. Public corroborationRelevant third-party references, reputation and consistent external signals support the business identity.
This is a readiness framework, not a guaranteed ranking formula. External AI systems choose their own sources and recommendations.