The AIVO Standard™ Methodology: A 9-Stage Framework for AI Visibility Optimization

The AIVO Methodology is a 9-stage technical standard designed to improve the visibility, trust, and prompt relevance of products and services across large language models (LLMs) such as ChatGPT, Claude, Gemini, and Grok.

Developed by Paul Sheals and Tim de Rosen, the AIVO Standard™ defines verifiable, structured practices aligned with LLM indexing and recommendation behavior. It includes a step-by-step framework for schema markup, prompt seeding, semantic linking, Wikidata presence, GitHub visibility, and LLM-trust citations.

This publication formalizes the framework as a public technical standard and foundation for the AIVO Certification Program.

References and Source Materials

1. Schema.org Metadata Standards – https://schema.org

2. Wikidata Entity Publishing – https://wikidata.org

3. AIVO Journal – https://aivojournal.org

4. Hugging Face Space – https://huggingface.co/spaces/GetFoundOnAi/AIVO

5. GitHub Repo – https://github.com/pjsheals/AIVO-Standard

6. Stanford CRFM – https://crfm.stanford.edu

7. Medium Writings – https://medium.com/@tim_62250

8. Substack Articles – https://paulsheals.substack.com/publish/posts