Melky 
SaaS SEO: The 'Function First' Framework
A data-driven analysis of the Function First SEO framework (255% growth case study) covering Cost of Retrieval and Center-Piece Annotation.
Why you don't rank pages with links: The shift to topical authority
Why modern SEO relies on Site Architecture and Topical Authority rather than page-level link building. An analysis of the shift from PageRank to Knowledge Graph Consensus.
The death of keyword density and other SEO myths
Why old-school SEO tactics like keyword density, exact-match anchors, and niche-only links are now actively hurting your rankings.
Stay calm and do the work, a durable strategy for the AI era
A durable, future-proof framework for thriving in the AI era of search.
Chat isn't a revolution, it's a user experience
Exploring why the magic of AI Search lies in its conversational user experience, not just the underlying technology.
Behind the curtain, a dialogue between two brains
A deep dive into how AI search engines like Bing Chat and Perplexity use a two-brain system (Retriever and Generator) to answer your questions in real-time.
This isn't a new game, it's just the next level
A look at the evolution of search, from keyword matching to AI agents, and what it means for SEO.
The anatomy of 'AI Search': It’s not magic, it’s a pipeline
Short version: People think AI Search is some magical mind that understands your soul. What it really is: Query → search index → ranked docs → reranked → injected into LLM → response.
The engine upgrade: How BERT, MuM, and LaMDA supercharge a 20-year-old blueprint
If the patents from the early 2000s represent the foundational blueprint of Google’s semantic search engine, then modern language models like BERT, MuM, and LaMDA are the state-of-the-art engine upgrades.
The engine in action: A step-by-step teardown of a Google query
We’ve talked about the theories and the patents from query parsing and context vectors to the origins of the Knowledge Graph.
