Fan-Out

关于

In the era of AI search engines like ChatGPT, Perplexity, and Gemini, traditional keyword-focused SEO is insufficient. This tool offers advanced content gap analysis, employing research-backed techniques from Google and academic papers to evaluate content against the nuanced ways AI search engines understand and answer user queries. It decomposes complex topics into actual user questions, generates dozens of query variations using Google's patented fan-out methodology, and assesses whether your content can answer each query with evidence. The output provides an interactive dashboard with coverage scores, identified gaps, and actionable recommendations, enabling content optimization for Generative Engine Optimization (GEO) to ensure your work is cited by AI search engines.

主要功能

• Three Analysis Modes: Content-Only, Hybrid (Content + Keyword Targeting), and Keyword-Only.
• Provides interactive visual dashboards and detailed markdown reports showing content coverage scores, query-by-query assessments with evidence, and prioritized recommendations.
• 2 GitHub stars
• Generates query variants using research-backed 'fan-out' methodology across 5 (or 8 optional) types, with context-aware generation.
• Leverages Self-RAG for evidence-based validation and Query Decomposition to break down complex topics.
• Offers advanced options for analysis depth, focus areas, custom variant types, and context signals for smarter variant generation.

使用案例

• Optimizing blog posts and articles for Generative Engine Optimization (GEO) and enhanced visibility in AI search.
• Ensuring comprehensive content coverage for specific target keywords and their numerous variations.
• Analyzing product pages to identify crucial missing information for purchase decisions and user intent.