Category: Google

AI SEO Google

Gemma 4 Brand Authority Map

Dan Petrovic

We asked Google’s open-weight model Gemma 4 (31B) to “name 100 brands at random” 14,044 times and compared the results to our earlier Gemini 3 Flash experiment (200,000 runs). Of the top 50 brands in each model, 39 overlap. The 11 that are unique to each reveal a pattern: Gemini remembers luxury and automotive (Porsche, […]

AI SEO ecommerce Google

Chrome’s New Shopping Classifier

Dan Petrovic

One of our AI SEO hall-of-famers, Olivier de Segonzac from RESONEO has managed to gain access to Google’s shopping classifier model. We’ve examined the model, reverse engineered its inference pipeline and this article is what we found. Model Demo Below is a real-world implementation of the model tested by loading a shopping-related page and following […]

Google Mechanistic Interpretability

Measuring Brand Authority in Gemini’s Parametric Memory: A PageRank NS Approach

Dan Petrovic

When a large language model is asked to “name 100 brands at random,” it doesn’t produce uniform randomness. It produces a distribution shaped by its training data, revealing which brands occupy the most cognitive real estate in the model’s latent space. We present a two-phase methodology for quantifying brand authority in AI memory, inspired by […]