Jay Fontanini
Field Notes
Case Study

The Creator-Critic Protocol: Using Multiple AIs to Build Better Content

A documented experiment in making content AI models want to cite.

The Discovery: Content that AI assistants will cite requires a different creation process than content built for search engines.

The Context

A pre-launch marketplace was preparing to enter a crowded market with a privacy-focused differentiation story. The founders understood something that most competitors hadn't yet grasped: the way consumers research purchases is shifting.

Traditional SEO still matters, but a growing percentage of consumers, particularly for research-heavy decisions, are starting with AI assistants rather than search engines. They're asking ChatGPT, Claude, or Perplexity questions like "What are my options for X?" or "What's the most privacy-friendly way to do Y?"

"We're not optimizing for algorithms. We're optimizing for AI comprehension: content structured so that language models can understand, validate, and reference it when users ask relevant questions."

The Protocol You'll Learn

1 Seed the Project First Full Access
2 Baseline the Landscape Full Access
3 Structure for Extraction Full Access
4 Orchestrate the Critique Full Access
5 Anchor with Evidence Full Access
6 Trust Your Own Patterns Full Access

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