Most organizations are invisible to AI systems, not because they lack expertise, but because their entity signals are incomplete, inconsistent or unverifiable.
AI systems do not rank websites. They construct answers from entities they can understand, verify and trust. An organization without clear entity signals will be ignored, misrepresented or replaced by a competitor that AI systems can read more clearly.
The question is no longer: "Do you rank on Google?"
The question is: "Can ChatGPT understand, cite and recommend you?"
The AI Citation Readiness Score
The AI Citation Readiness Framework evaluates an entity across three dimensions, Clarity, Consistency and Verifiability and produces a single output:
ScoreStatus0–25Invisible26–50Recognizable51–75Citable76–100Answer-Ready
Most organizations that have never addressed their entity signals score below 40.
How to Apply It
The framework is designed to be applied in three steps: Entity Audit, Signal Assessment and Signal Architecture. A practical checklist is included in the repository.
→ AI Citation Readiness Framework on GitHub
Background
This framework is a direct extension of the AEO Mastery Framework and part of the applied AEO methodology developed at richresults.ai.
Further Reading
The AI Citation Readiness Framework on Medium (EN):
https://medium.com/@stefanpetschinka/the-ai-citation-readiness-framework-can-ai-systems-understand-cite-and-recommend-you-068f25dfa446
Das AI Citation Readiness Framework auf Medium (DE):
https://medium.com/@stefanpetschinka/das-ai-citation-readiness-framework-können-ki-systeme-dich-verstehen-zitieren-und-empfehlen-6491cdd966f5
Full Framework on GitHub:
https://github.com/stefanpetschinka/ai-citation-readiness-framework
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