seo-ai-visibility

To optimize for AI search visibility, you must analyze your website for AI crawler accessibility, ensure llms.txt compliance, and enhance passage-level citability. This Skill provides a comprehensive analysis tailored for platforms like Google AI Overviews and ChatGPT search.

Llms.txt compliance involves configuring a text file that guides AI crawlers to your most important content, which is a core part of AI platform optimization. It ensures large language models can accurately access, parse, and reference your website data for search generation.

Checking AI crawler accessibility requires auditing your server-side rendering and technical configurations to ensure bots can read your content. This Skill analyzes these technical signals to confirm your website is properly accessible to AI-driven search platforms.

The FLOW framework is a structured methodology for evidence-led AI content optimization that guides you through improving search visibility. You can initiate this process using the 'seo flow' command to systematically analyze and enhance your website's AI readiness.

Yes, analyzing brand mention signals and passage-level citability requires Python along with libraries like pypdf, pdfplumber, and pdf2image for data processing. These dependencies are necessary to run the advanced analysis scripts included in this Skill.

Yes, you can tailor AI search optimization strategies for specific platforms including Perplexity and Bing Copilot. This Skill analyzes your content and provides platform-specific optimization recommendations to maximize visibility across various AI-driven search engines.