Practical guides for AI citation readiness and Answer Engine Optimization
These resources explain the public, technical, and evidence layers behind AI discoverability. They are written to help teams make useful changes without treating uncertain third-party behavior as guaranteed.
Core concepts
- AI citation readiness: accessible, understandable, attributable, and structured public information.
- Answer Engine Optimization: clear answers connected to verifiable sources.
- AI visibility: engine-specific mentions and citations measured with context.
- Citation monitoring: prompt, source, engine, and time-based evidence.
Guides and policies
Read the Citation Markup & Schema Guide for a practical explanation of JSON-LD and its limits. Review the methodology and Trust Center for Vite.cite's evidence, privacy, and security boundaries.
A useful starting sequence
- Read the AI citation readiness primer.
- Review the product workflow and methodology.
- Use the citation markup guide on a real public page.
- Run a focused audit and preserve the result as a baseline.