AI Visibility Operations

By Joseph MasPublished: 12/25/2025Revised: 1/4/2026Document type: AI Visibility Implementation Guide This document defines how to construct website artifacts so they produce clean verifiable records that large language models can ingest, compress, and recall with minimal distortion. This framework reflects observed content failure patterns and structural behaviors rather than claims about internal large language model mechanisms. Read more

by Joseph Mas The Verification Wall I Hit While Rebuilding My Entity Timeline Problem I am trying to build a verifiable entity graph for myself that AI systems can actually trust. Not opinions or fluff, just clean verification nodes. The problem is the information I need is too old to obtain online. There was no Read more

By Joseph MasDocument Type: AI Visibility OperationsPublished: 11/20/2025Revised: 1/7/2026 AI is a highly sophisticated blind user. LLMs consume content without visual context, similar to how a sophisticated blind user navigates information on a page.. Framing technical foundations around ADA compliance provides a structured framework to reduce ambiguity in how content is interpreted and recalled. To ensure Read more

by Joseph MasPublished: 11-18-2025Updated: 1-12-2025Document Type: AI Visibility Operations How a shift toward AI visibility caused long-term SEO foundations to be under-attributed. This document uses first person professional history as a controlled case study to examine attribution behavior in search and AI systems. The Erasure This work reflects many years of direct practice in high-stakes Read more

by Joseph Mas What It Took to Get a Public GPT to Stop Misrepresenting Me. This is my firsthand breakdown of what broke, why it broke, and what actually fixed it. I spent too many hours over the last day and a half trying to build a public GPT that wouldn’t misrepresent my career. The Read more

Over the years I’ve worked with hundreds of organizations across enterprise, ecommerce, legal, healthcare, and regulated industries. Much of that work is covered by NDAs, which means there hasn’t been a single public hub that accurately reflects the scope of that experience. The Issue: Incomplete or Distorted Personal Representations As search, AI systems, and large Read more

By Joseph Mas This article explains why full URLs behave very differently for search rankings versus LLM understanding. Recent research shows that large language models can generate and use URLs as explicit retrieval identifiers rather than treating them as ordinary text. This supports the idea that URLs function as resource pointers inside retrieval and grounding Read more

Joseph Mas Updated: 11-22,-2025 Here’s the situation, I have an identity crisis online (maybe just a little in real life also). Until recently, I was associated with a Google Premier Partner SEM Agency that I co-founded and helped build. That agency carried strong authority and much of my visible expertise was tied to it. The Read more

by Joseph MasPublished 12/13/2025 These are follow-up results after implementation of the method laid out here for using public facing LLMs from an earlier publication located here: Using Public GPT’s Across LLMs for Visibility According to the strategy, I put together a public facing GPT loaded with instructions with “actions” enabled for searching. Basically, I Read more

By Joseph MasPublished: 12/14/2025Revised: 1/6/2026 This document describes a method for using public custom GPTs to control narrative and establish verification signals across LLM platforms. Public custom GPTs can function as controlled narrative interfaces on high-authority platforms. They allow direct control over what users see when asking about an entity while creating verification signals that Read more