Roger Wilkinson
Roger Wilkinson is an independent researcher, SEO practitioner and founder of CGO Media, specialising in search engine optimisation, AI-powered search, Generative Engine Optimization, digital authority and the evolution of online information discovery.
His work draws on more than two decades of practical experience in search and digital marketing, spanning the development of early search engines, Google-led organic search, entity-based retrieval and the emergence of generative AI search systems.
Wilkinson’s current research focuses on how search engines and AI systems discover, interpret, evaluate, cite and recommend organisations, brands and information sources.
His areas of research include AI search visibility, citation authority, entity authority, knowledge architecture, content authority, technical SEO, digital PR, search behaviour and the changing relationship between traditional search engines and generative discovery platforms.
Independent Research Background
Roger Wilkinson has had no formal university education.
His research background is instead grounded in long-term professional practice, independent study, experimentation and more than two decades of direct involvement in search, digital marketing and online information discovery.
This practitioner-led perspective forms an important part of his research approach.
Rather than examining search exclusively through theoretical models, his work is informed by observable changes in real-world search environments, website performance, information architecture, digital authority and the ways in which search and AI systems interpret online information.
His objective is to document these changes systematically and develop frameworks that can be tested, discussed and refined as search technology continues to evolve.
Research Focus
Wilkinson’s research concentrates on the transition from traditional keyword and ranking-based search towards systems increasingly influenced by entity understanding, knowledge retrieval, machine learning, source evaluation, citation selection and generative AI.
Key areas of research include:
- Artificial Intelligence Search
- Search Engine Optimization
- Generative Engine Optimization
- AI Search Visibility
- AI Citation Authority
- Entity Authority
- Knowledge Architecture
- Knowledge Graphs
- Content Authority
- Brand Authority
- Search Authority
- Technical SEO
- Digital PR
- Link Authority
- Search Behaviour
- Information Retrieval
- Generative AI
- AI Recommendations
- Future Search Systems
Research Through CGO Media
Through CGO Media, Wilkinson develops independent research, statistical publications, research observations, methodologies and practical frameworks examining the evolution of modern search.
The research programme considers how organisations can become discoverable, understandable and authoritative across both conventional search engines and emerging AI-powered discovery systems.
His work seeks to connect practical SEO experience with broader developments in information retrieval, machine learning, entity recognition, knowledge systems and generative AI.
Research is published through the CGO Media Research Library, alongside supporting resources in the Statistics Library, Framework Library and related research publications.
Practitioner-Led Search Research
Search engines have changed substantially during Wilkinson’s professional career.
Early SEO concentrated heavily on website structure, keyword relevance and links. Modern search environments incorporate increasingly sophisticated systems for interpreting entities, meaning, authority, context, relationships and user intent.
The introduction of large language models and generative search has added another layer to this environment.
AI systems can now synthesise information from multiple sources, construct answers, identify organisations and potentially recommend products, services, experts and brands without requiring the user to visit a traditional search results page.
Understanding this transition forms a central theme within Wilkinson’s current research.
AI Search and Generative Engine Optimization
A significant part of Wilkinson’s work examines how organisations may become visible within AI-generated answers and recommendation environments.
This includes research into the relationship between conventional SEO foundations and emerging factors such as entity clarity, source credibility, independent citations, knowledge architecture, brand recognition and machine-readable relationships.
His work on Generative Engine Optimization examines how organisations can improve the quality and accessibility of the information surrounding their entities without treating AI visibility as an isolated marketing discipline.
The underlying principle is that traditional search visibility and AI visibility increasingly depend on many of the same foundations: accessible information, strong content, clear entities, credible sources and independent authority.
Research Philosophy
Wilkinson approaches search research as an evolving field rather than a collection of fixed rules.
Search engines, AI models and information retrieval systems continually change. Consequently, frameworks and methodologies should be treated as models that can be observed, tested and updated rather than permanent explanations of how search systems operate.
His work therefore places particular emphasis on evidence, observation, repeatable methodology and clear distinctions between established facts, reasonable interpretations and emerging hypotheses.
Research Publications
Roger Wilkinson is the author of independent research papers and publications covering AI search, SEO, generative discovery, authority systems and the future of search.
Current and developing research areas include AI citation selection, AI recommendation systems, entity authority, brand authority, knowledge graphs, content authority, technical SEO, Local SEO, ecommerce search, enterprise search and the changing role of links within AI-mediated discovery.
Publications are available through CGO Media and selected external research and academic publishing platforms.
Research profiles may also include ORCID and other independent researcher directories as publications are indexed and distributed.
ORCID iD – 0009-0004-3325-0740
Professional Perspective
Wilkinson’s contribution to search research is shaped primarily by professional experience rather than traditional academic training.
His work reflects more than two decades of observing how websites, businesses and information sources interact with changing search technologies.
This practical background provides a perspective focused on the gap between theoretical search models and the behaviour organisations experience within live search environments.
His aim is to contribute practitioner-led research that complements academic work and encourages further investigation into the rapidly changing relationship between search engines, artificial intelligence and digital information.
Research Interests
Primary research interests: Search Engine Optimization, Artificial Intelligence Search, Generative Engine Optimization, Information Retrieval, AI Search Visibility, AI Citation Authority, Entity Authority, Knowledge Architecture, Knowledge Graphs, Content Authority, Brand Authority, Digital PR, Search Behaviour, Generative AI and the Future of Search.
Roger Wilkinson and CGO Media
Roger Wilkinson is the founder of CGO Media, an SEO, AI Search and Generative Engine Optimization consultancy and independent research publisher.
CGO Media develops research, frameworks and practical methodologies designed to help organisations understand the changing search environment and build sustainable visibility across Google, AI assistants and emerging generative discovery systems.
Explore the Research Library, Statistics Library and Framework Library for current publications and methodologies.
