Lab Notes.
Our publicly available research and methodology on Generative Engine Optimisation, RAG pipeline ingestion, and Enterprise SEO architecture.
From Keywords to Context
Why traditional SEO is the foundation, and Generative Engine Optimisation (GEO) is the future. How to evolve your search strategy for 2026.
Read Protocol →Search Grounding: Fact Ingestion
How RAG pipelines evaluate brand trust and the three-pillar protocol for eliminating AI hallucinations through entity confidence.
Read Protocol →Vector Proximity Analysis
Why traditional keywords are failing the retrieval test. Learn the geometry of search and the math of N-dimensional meaning.
Read Protocol →Query Fan-out & Intent
Predict the machine's reasoning. Discover the framework to satisfy the latent intent of AI agents through strategic prompt expansion.
Read Protocol →Schema 2.0 Mapping
Traditional Schema was for rich snippets. Schema 2.0 is an API for LLMs. Learn how to explicitly program the machine's knowledge graph.
Read Protocol →RAG Pipeline Optimization
Retrieval-Augmented Generation (RAG) is the architecture that powers modern AI search.
Read Protocol →The BLUF Protocol
Why human-first storytelling destroys your AI search visibility, and how to engineer immediate context.
Read Protocol →Vector Payload Engineering
Discover how to survive the AI 512-token chunk and ensure your brand facts remain semantically locked.
Read Protocol →Agentic vs. Static AI
Why most enterprise 'AI' is just a glorified If/Then statement, and how true agentic architecture drives operational efficiency.
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