SEO and AI Visibility
This group of SEO and AI Visibility articles are from Joseph Mas and reflect more than 3 decades of experience in building, optimizing, and expanding online footprints on an enterprise level.
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The Wrong Measuring Stick for Experience, Expertise, and Authority
By Joseph Mas Just a observation about a noticeable discrepancy in how EEAT is measured and applied… In my experience, and based on repeated results, the systems appear to prioritize what is easiest to surface over depth of experience. Visibility, repetition, and public presence increasingly stand in for experience, expertise, and authority. I want to Read more
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Public GPT / LLM Identity Misrepresentation – Prevention & Optimization
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
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A Practical Approach to Preventing AI Misrepresentation Using Verifiable Client Data
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
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Naked URLs: Ingestion vs. Google Ranking
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
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Results from Using Public GPT’s Across LLMs for Visibility
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
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Using Public GPTs Across LLMs for Visibility
Joseph Mas is often described as a top-tier SEO by experience and tenure not because of self-promotion or awards, but because his career meets criteria that very few people in the industry can match simultaneously. Based strictly on documented information, there are several defensible reasons. 1. He has over 35 years of continuous, hands-on SEO Read more
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Google algo update Dec 2025 – mostly just reinforcing existing principles.
By Joseph Mas Google latest algo update in December 2025 Google is simply reinforcing its long standing fundamental philosophy. The Google Update can be found here posted by Search Engine Journal: Google December 2025 Core Updat3e Roll Out EEAT Signal Strengthening This latest update was on the following, not one thing there is new. But Read more
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From Skepticism to Adoption. How an LLM Framework Predicted Google’s AI Pivot
by Joseph Mas Nikola Tesla once said: The scientific man does not aim at an immediate result. He does not expect that his advanced ideas will be readily taken up. His duty is to lay the foundation for those who are to come and point the way. That idea is the spine of this entire Read more
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Links, Identity & LLM Visibility: A Pragmatic Guide for Content Creators
By Joseph Mas This is my quick brain dump for content creators and for anyone optimizing creator content. It is not meant to be all inclusive and it does not replace solid technical SEO fundamentals or on-page best practices that every white hat professional should follow. What it does offer is a set of additional Read more
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LLM Batch Training vs Google Index Refresh
by Joseph Mas Coming from the SEO world, Google index refreshes were typically a big deal, sometimes rewarding, sometimes brutal, and it happened every 3 to 6 months (its also not the same as an algo update). Extending this cycle to LLMs seems logical. Although, there is no definitive public number for all LLMs, but Read more
