COMING SOON · Q3 2026
Research & Intelligence Hub
We are conducting empirical research into generative AI retrieval mechanics, LLM citation algorithms, JSON-LD entity graphs, and agentic web protocols.
RESEARCH PAPER 01
The Mechanics of LLM Citation & Entity Resolution in Regional Commerce
An empirical study evaluating how ChatGPT, Gemini, and Claude select cited sources when processing Singapore commercial queries.
STATUS: PEER REVIEW
BENCHMARK REPORT 02
JSON-LD Schema Graph Integrity & Answer Engine Retrieval Scores
Quantitative benchmarks correlating explicit schema depth with AI Overview recommendation frequency across 250 enterprise domains.
STATUS: DATA SYNTHESIS
SPECIFICATION 03
Agentic Discovery Protocols & llms.txt Implementation Standards
Best practices for publishing machine-readable endpoints for autonomous procurement agents and AI assistants.
STATUS: DRAFTING
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