Content Fitter

Full Explanation

The Content Fitter is an analytical tool that scores your content against AI readability and citation criteria, providing specific improvement recommendations to increase the likelihood that AI will extract, understand, and recommend your content. Think of it as a quality audit specifically calibrated for how AI models evaluate content, rather than how human readers or traditional search engines evaluate it. The Content Fitter evaluates content across multiple dimensions that matter for AI visibility. Semantic completeness measures whether your content covers all the major aspects of its topic that AI would need to generate a comprehensive answer. Structural clarity assesses whether your content uses headings, lists, tables, and FAQ formats that AI can easily parse and decompose. Evidence density evaluates the ratio of supported claims (backed by data, citations, or examples) to unsupported assertions. Entity clarity checks whether your brand, products, and key concepts are clearly defined and consistently named. Freshness signals verify that dates, data, and references are current. Three types of recommendations emerge from Content Fitter analysis. First, structural improvements. These are formatting and organization changes that make your content more extractable by AI -- adding FAQ sections, breaking long paragraphs into scannable sections, and implementing schema markup. Second, content enrichments. These are additions that strengthen your authority signal -- proof points, case studies, expert quotes, and third-party citations that give AI evidence to support recommending you. Third, gap fills. These identify specific subtopics or questions that your content should address but currently misses, reducing the chance that AI will turn to competitor content to fill the gap. The Content Fitter is most valuable when applied to your highest-priority pages -- pillar pages, key product pages, and content within your most important semantic territories. Improving the Content Fitter score on these pages directly drives improvements in AI Visibility Score components, particularly PPMA and ARD.