Three-Layer Approach™

A framework for holistic content optimization in the AI era

What You Get

11-page educative whitepaper with in-depth analysis

Practical implementation guide in 3 phases

Citation Rate increased from 0% to measurable AI visibility within 60 days

Technical details about llms.txt and AI optimization

Success measurement framework across all 3 layers

Data-driven framework based on thousands of hours analyzing real search data, practical SEO work, and extensive AI model testing.

Developed by Nickolass Jensen / Nettpilot
Tested in practice. Shared openly.

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Developed by:

Nickolass Jensen / Nettpilot

Tested in practice. Shared openly.

New whitepaper

The Context Wars

Three distinct wars are being fought simultaneously. This whitepaper defines the architecture that wins all three.

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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. Free PDF downloads. No login or credit card.

What topics are covered?

Three-Layer methodology, GEO measurement, AI crawler analysis and implementation guides.

Can I cite them?

Yes. Published for reference and citation. Attribution appreciated.

How often are new ones published?

When significant methodology updates warrant a standalone document. No fixed schedule.