What is Retrieval Surface Engineering?

Content Arc™ is a proprietary Growth Marshal framework for architecting on-page content for maximum AI retrieval and citation. Content Arc™ applies the Modular Knowledge Asset (MKA) methodology, which combines answer-first headers, modular body sections, visual evidence layers, and action footers to engineer pages that large language models (LLMs) can parse, quote, and cite. Content Arc™ transforms existing content into retrieval-ready pages and builds new pages optimized for AI citation from the ground up. Content Arc™ is one of three Growth Marshal frameworks. Entity API™ handles machine-readable identity. Authority Graph™ handles external verification. Content Arc™ handles the on-page content layer that determines whether LLMs can actually extract and attribute your information in generated answers.