3LA whitepapers — GEO methodology, AI visibility and measurement
In-depth whitepapers on the 3LA methodology and Generative Engine Optimization — how AI engines cite content, how to measure AI visibility and how to close the gap between findable and citeable. Each whitepaper is published for reference and citation.
Three-Layer Approach methodology: the complete framework for evaluating content across humans, search and AI.
AI crawler analysis: which bots visit your site, how often and what they do with your content.
Free PDF download: every whitepaper is available without login or credit card.
Choose a paper by the decision you face
The Three-Layer Approach papers examine content structure, AI discovery and measurement. The Context Wars focuses on the economics and architecture of machine attention. GEO in 2026 examines why different AI platforms need different visibility strategies. Choose the argument relevant to your work rather than treating all AI discovery as one channel.
Read findings with their scope intact
Keep the publication date, dataset and limitations alongside any statistic you reuse. A result from a particular site or reporting window is not a universal performance promise. Apply the framework to your own pages and compare a documented baseline with later observations.
Frequently Asked Questions
Are the whitepapers free?
Yes. Every whitepaper is available as a free PDF download. No login or credit card required.
What topics do the whitepapers cover?
The whitepapers cover the Three-Layer Approach methodology, Generative Engine Optimization measurement (citation rate, sample size, confidence bands), AI crawler analysis and practical implementation guides.
Can I cite the whitepapers in my own work?
Yes. The whitepapers are published for reference and citation. Attribution to 3LA / Nettpilot AS is appreciated.
How often are new whitepapers published?
New whitepapers are published when significant methodology updates or research findings warrant a standalone document. There is no fixed schedule.
