Entity SEO
Organisation entities, knowledge graphs, structured data and modern search visibility.
Research & Experiments
Original observations, testing and implementation findings.
Research & Experiments is the public research section of Digital Faction Limited. This section contains original observations, implementation notes, experiments, testing methodologies and findings across search, SEO, artificial intelligence, automation, analytics, digital publishing and product development.
Purpose
Producing knowledge, not simply explaining it.
The purpose of this section is not to publish news, commentary or opinion.
Instead, it serves as a record of practical investigations into how digital systems behave and how emerging technologies can be applied in real-world environments.
Findings published here are intended to contribute practical knowledge derived from experimentation, testing and direct implementation.
The long-term objective is to document original findings, methodologies and observations that contribute to a better understanding of digital publishing, search systems, artificial intelligence and online platforms.
Research Areas
Areas of ongoing observation, testing and investigation.
AI Search
Artificial intelligence, search interfaces, retrieval systems and AI-generated responses.
Large Language Models
LLM behaviour, implementation patterns and practical applications.
Automation Systems
Workflow design, automation technologies and operational processes.
Analytics
Measurement methodologies, reporting systems and performance evaluation.
Digital Publishing
Publishing platforms, content systems and information discovery.
Methodology
Transparent documentation where possible.
Some experiments may be small and exploratory while others may involve longer-term testing and analysis.
Where possible, findings will be documented transparently, including methodology, observations, limitations and outcomes.
The objective is to provide useful context rather than simply reporting conclusions.
Research Articles & Analysis
Articles and analysis related to Digital Faction's research interests in artificial intelligence, publishing systems, information discovery and online platforms.