Research areas
Key research areas
AI Search Research
Technical analysis of how AI search systems retrieve, evaluate, and cite web content across ChatGPT, Perplexity, Google AI Overviews, and other answer engines.
Explore retrieval research →Retrieval Mechanics
Research into semantic retrieval, query-document matching, relevance scoring, content compression, and citation anchor identification.
Read decision traces →Citation Analysis
Analysis of citation patterns, source selection criteria, attribution accuracy, and citation suppression factors.
View diagnostics →Featured
Featured analysis
Technical breakdowns on retrieval mechanics, semantic systems, and AI search infrastructure.
Query systems
Semantic Queries & Query Optimization
How semantic relationships collapse query complexity — from multi-JOIN SQL to relationship-aware logic.
Read: Semantic Queries & Query Optimization →Performance
Performance & Caching Insights
Intelligent pushdown optimization, query tuning, and caching engines that reduce compute while preserving accuracy.
Read: Performance & Caching Insights →Architecture
Data Virtualization Best Practices
Connecting sources into a semantic virtualized layer — federated queries and unified graph views without duplication.
Read: Data Virtualization Best Practices →Technical
Technical breakdowns
LLM systems
Enterprise LLM Foundation
Building reliable AI workflows on structured understanding — semantic context, verified relationships, and virtualized access.
Read: Enterprise LLM Foundation →Knowledge graphs
Knowledge Graph Exploration
Interactive graph techniques for traversing relationships, surfacing insights, and generating SQL or natural-language queries.
Read: Knowledge Graph Exploration →Systems
Research & systems
Analyses spanning AI search and retrieval — from extraction mechanics to citation behavior.
Architecture
Semantic Layer Architecture
SQL-native ontologies, reusable logic, metrics, hierarchies, and automated reasoning across knowledge graphs.
Read: Semantic Layer Architecture →Virtualization
Data Virtualization
Federated queries, intelligent pushdown, caching strategies, and unified graph views across data sources.
Read: Data Virtualization →Workflows
AI Workflow Optimization
Reliable LLM workflows, GraphRAG implementation, NL2SQL generation, and structured semantic context.
Read: AI Workflow Optimization →Performance
Query Performance
Semantic query optimization, relationship-aware logic, complexity reduction, and performance tuning.
Read: Query Performance →Archive
Additional insights
Recent research articles from the insights archive.
Insight
Agentic Commerce: How to Become the Default Vendor for AI Agents
Agentic Commerce, Agent Procurement Surface, APS, AI Agent SEO, Machine-Readable Discovery
Read: Agentic Commerce: How to Become the Defau… →Insight
Grounding Budgets, Prechunking, and Generative Search Visibility
Grounding Budgets, Prechunking, Generative Search, AI Visibility, Fragment-Level Retrieval
Read: Grounding Budgets, Prechunking, and Gener… →Insight
Google LLMs.txt Documentation Analysis & SEO Strategy
Google llms.txt, AI SEO, LLM optimization, Structured Data, Technical SEO
Read: Google LLMs.txt Documentation Analysis &… →Insight
The Silent Killer of Search Rankings: How Hydration Failure Is Breaking Modern SEO Without Anyone Noticing
JavaScript SEO, Googlebot Rendering, Hydration Failure, SSR SEO, Client Side Rendering SEO, Next.js SEO Issues, Vue SEO Issues, Vite Hydration SEO, Se
Read: The Silent Killer of Search Rankings: How… →Insight
Goldmine: Evidence-Backed View of Google's Title Selection System (2024–2025)
Google Goldmine, Title Selection, SERP Optimization, NavBoost, SEO 2025
Read: Goldmine: Evidence-Backed View of Google'… →Insight
AI SEO Tool Reviews: Comprehensive Platform Analysis
AI SEO, Tool Reviews, Platform Analysis, Optimization Tools
Read: AI SEO Tool Reviews: Comprehensive Platfo… →