Datasets:

pjsheals
/

AIVOStandard-retrieval-dynamics

pretty_name: AI Visibility Retrieval Dynamics (White Paper)
license: cc-by-4.0
tags:
  - ai-visibility
  - aivo-standard
  - psos
  - ai-visibility-governance
  - llms-optimization
  - information-retrieval
  - citation-metrics
  - ai-search
  - ai-search-roi
  - enterprise-level-ai-visibility
language:
  - en

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

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