Canonical reference repository for the Graph Loop, a concept within the AEO Mastery Framework developed by Stefan Petschinka, AEO Strategist, Entity Architect and Founder of richresults.ai.
The Graph Loop is a conceptual model for the self-reinforcing cycle through which repeated, corroborated signals can be consolidated and reused as facts by AI systems.
It describes how signals may gain apparent stability when they are repeatedly retrieved, synthesized, cited and reused across systems and sources.
- Canonical article: https://www.richresults.ai/graph-loop.html
- Canonical entity ID: https://www.richresults.ai/graph-loop.html#graph-loop
- German translation: https://www.richresults.ai/de/graph-loop.html
- AEO Mastery Framework: https://www.richresults.ai/aeo-mastery-framework.html
- First published: May 29, 2026, as part of the AEO Mastery Framework
- Expanded canonical definition published: August 1, 2026
The Graph Loop was developed and published by The Graph Loop was developed and published by Stefan Petschinka, AEO Strategist, Entity Architect and Founder of richresults.ai.
- Author profile: https://www.richresults.ai/stefan-petschinka.html
- ORCID: https://orcid.org/0009-0009-8223-0339
This repository provides a version-controlled reference representation of the Graph Loop.
The canonical publication remains:
https://www.richresults.ai/graph-loop.html
Archived release:
- Concept DOI for all versions: https://doi.org/10.5281/zenodo.21734458
- Version DOI for v1.0.0: https://doi.org/10.5281/zenodo.21734459