The biggest local-language SEO arbitrage is in section 23
Google instructs raters to treat English results as useless for users who can’t read English. Your real competition on a local-language query is only what exists in that language.
Dense, direct and random notes on SEO, data, UX, automation and AI — from the Maeka lab.
Google instructs raters to treat English results as useless for users who can’t read English. Your real competition on a local-language query is only what exists in that language.
The 2025 Rater Guidelines gave the padding before the answer a name, a section and a score: filler. The right order is answer first, depth after.
The Rater Guidelines name AI-generated author profiles and invented credentials as deception — a Lowest category. Real author or none; invented, never.
SEO goals define where you need to show up. SEO strategy defines the plan to get there—by mapping intent to templates using a simple zoom framework.
Why the perfect alignment between search intent and landing pages defines SEO success — and what to do when that match fails.
What happens between pressing Enter and seeing content — and how critical CSS changes everything.
How to build a first-click attribution model using GA4 BigQuery export — connecting discovery, SEO, and analytics.
A small Streamlit app that finds an entity’s Google Discover Profile via Knowledge Graph (MID → hash → URL).
Why first-click attribution is the most important model to understand SEO, discovery, and brand awareness growth.