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AI Visibility Retrieval Dynamics: Tiered Citation Platforms, Decay, and the Governance Gap in LLM Discoverability
Copyright © 2025 Paul Sheals and Tim de Rosen, The AIVO Standard™
This work is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
You are free to:
• Share — copy and redistribute the material in any medium or format
• Adapt — remix, transform, and build upon the material for any purpose, even commercially
Under the following terms:
• Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made.
Please include the title, authors, year, and the DOI link.
• No additional restrictions — You may not apply legal terms or technological measures that legally restrict others
from doing anything the license permits.
Full legal code: https://creativecommons.org/licenses/by/4.0/
Preferred citation:
Sheals, P., & de Rosen, T. (2025). AI Visibility Retrieval Dynamics: Tiered Citation Platforms, Decay, and the Governance Gap in LLM Discoverability (v1.0). The AIVO Standard. https://doi.org/10.5281/zenodo.17117353
Trademarks:
AIVO Standard™ and PSOS™ (Prompt-Space Occupancy Score) are trademarks of The AIVO Standard. Third-party names are the property of their respective owners.
Contact: paul@aivostandard.org

AI Visibility Retrieval Dynamics: Tiered Citation Platforms, Decay, and the Governance Gap in LLM Discoverability

Authors: Paul Sheals; Tim de Rosen
Affiliation: The AIVO Standard™
Version: v1.0
DOI: https://doi.org/10.5281/zenodo.17117353
License: CC BY 4.0

Abstract

This white paper presents findings from The AIVO Standard™ R&D program based on 100,000+ reverse-engineered prompts across industries and LLMs (ChatGPT, Gemini, Claude, Perplexity, Grok).
We formalize a tiered citation framework—Tier 1 (foundational/canonical), Tier 2 (industry validation), Tier 3 (topical/recency)—and show that brands relying primarily on Tier 2/3 experience 40–60% month-on-month visibility volatility in AI assistants.

We identify a governance gap in current AI visibility tools (which report where brands appear now but do not measure durability, decay, risk, or causality) and introduce PSOS™ (Prompt-Space Occupancy Score) as the first governance-grade KPI that weights visibility across tiers, adjusts for decay, and enables board-level reporting, benchmarking, and certification.

Files in this repository

  • AI_Visibility_Retrieval_Dynamics_White_Paper_v1.0.pdf — main publication (paginated)
  • references.bib — BibTeX references
  • CITATION.cff — citation metadata (CFF)
  • CHANGELOG.md — version history
  • LICENSE.txt — CC BY 4.0 license text
  • figures/AI_Visibility_Decay_Graph.png — illustrative figure (volatility vs Tier-1 stability)
  • figures/AI_Visibility_Decay_Graph.svg — same figure (vector, optional)
  • data/visibility_decay_example.csv — tiny dataset behind the figure

File paths may differ slightly depending on how you organize uploads; the DOI above remains the canonical reference.

Preview

Visibility Decay

Illustrative comparison of monthly visibility retention for Tier-3-only brands vs Tier-1-anchored brands.

Cite this work

Sheals, P., & de Rosen, T. (2025). AI Visibility Retrieval Dynamics: Tiered Citation Platforms, Decay, and the Governance Gap in LLM Discoverability (v1.0). The AIVO Standard. https://doi.org/10.5281/zenodo.17117353

BibTeX 

@report{AIVO_Retrieval_Dynamics_2025,
  title        = {AI Visibility Retrieval Dynamics: Tiered Citation Platforms, Decay, and the Governance Gap in LLM Discoverability},
  author       = {Sheals, Paul and de Rosen, Tim},
  year         = {2025},
  version      = {v1.0},
  institution  = {The AIVO Standard},
  doi          = {10.5281/zenodo.17117353},
  url          = {https://doi.org/10.5281/zenodo.17117353}
}

---

Related resources
Zenodo (canonical DOI): https://doi.org/10.5281/zenodo.17117353

GitHub (repository mirror & assets): https://github.com/pjsheals/aivo-retrieval-dynamics

AIVO Standard (methodology): https://github.com/pjsheals/aivo-standard

PSOS™ Methodology: https://github.com/PJSheals/PSOS-Methodology

AIVO Journal: https://aivojournal.org

Changelog
v1.0 — 2025-09-14: Initial public release (PDF, citation files, figure, CSV).

License
Content is released under Creative Commons Attribution 4.0 International (CC BY 4.0).
You may share and adapt with attribution. See LICENSE.txt or https://creativecommons.org/licenses/by/4.0/

Contact
Paul Sheals — ORCID: 0009-0006-2407-4612 — paul@aivostandard.org

Tim de Rosen — tim@aivostandard.org
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