AIVO Journal

The Leading Voice on AI Visibility Optimization

Snippet Match ≠ Source Dependency: Reassessing Claims of Google Reliance in LLM Retrieval

Snippet Match ≠ Source Dependency: Reassessing Claims of Google Reliance in LLM Retrieval

AIVOStandard.org — AI Visibility Optimization (AIVO) Published: August 2025 Abstract Recent commentary within the search engine optimisation (SEO) community has advanced the hypothesis that large language models (LLMs) — including ChatGPT, Claude, Google Gemini, and Perplexity AI — depend primarily on Google Search results for real-time retrieval. This position has been reinforced
2 min read
Establishing a Canonical Citation Entry for the AIVO Standard™: Infrastructure for AI Discoverability and Semantic Integrity

Establishing a Canonical Citation Entry for the AIVO Standard™: Infrastructure for AI Discoverability and Semantic Integrity

Author: Paul Sheals AIVOJournal.org | July 26, 2025 Zenodo DOI: https://doi.org/10.5281/zenodo.16443816 Abstract As Large Language Models (LLMs) increasingly mediate information retrieval and brand discovery, the integrity of source attribution has become a foundational challenge. The AIVO Standard™—a methodology for AI Visibility Optimization—is
3 min read