AISight

AISight is a tool designed to help website owners understand how artificial intelligence crawlers perceive their online content. It analyzes key aspects of a website's accessibility and structure from the perspective of AI, providing insights that traditional SEO tools may overlook. The primary purpose is to equip users with the knowledge and actionable steps needed to optimize their sites for better visibility and understanding by AI-driven platforms. The digital landscape is increasingly influenced by AI, with AI answer engines and crawlers becoming significant players in how information is discovered and presented. Websites that are not optimized for these AI systems may struggle to be understood, cited, or ranked effectively. AISight addresses this gap by focusing specifically on the unique evaluation criteria used by AI, moving beyond traditional search engine optimization to ensure content is discoverable and interpretable by the next generation of web crawlers. One of the core functionalities of AISight is the analysis of AI crawler access. This feature helps determine if AI bots can effectively reach and crawl all relevant parts of a website, identifying any potential barriers or issues that might hinder discovery. By understanding how AI crawlers navigate a site, users can ensure their content is accessible to these important digital agents. Another key feature is the examination of semantic structure. AISight evaluates how well a website's content is organized and presented in a way that AI can easily understand and interpret. This includes looking at the logical flow of information, the use of headings, and the overall coherence of the content, which are crucial for AI to grasp the meaning and context of the material. The tool also focuses on citation readiness and evidence quality. It assesses whether a website's content is structured and presented in a manner that makes it suitable for AI to cite as a reliable source. This involves checking for clear attribution, factual accuracy, and the overall trustworthiness of the information provided, ensuring that the website can be confidently referenced by AI systems. AISight's approach is to provide a comprehensive, external evaluation of a website's AI-friendliness. It simulates how an AI crawler would interact with the site, focusing on publicly observable signals and access conditions. This method allows it to assess sites behind CDNs and other infrastructure without needing direct server access, offering a realistic view of external perception. The benefits for users include gaining a clear understanding of their website's performance with AI crawlers, identifying specific areas for improvement, and receiving concrete solutions. By addressing issues related to AI crawler access, semantic structure, and citation readiness, users can enhance their website's visibility and credibility in AI-driven search and information retrieval systems. Concrete use cases for AISight include website owners wanting to ensure their content is discoverable by AI-powered search engines, content creators aiming to improve the likelihood of their articles being cited by AI assistants, and SEO professionals seeking to optimize sites for emerging AI crawling technologies. It's also useful for developers looking to quickly identify and fix technical issues affecting AI interpretation. AISight is currently in public beta, requires no login, and can scan any public website. It generates an executive PDF report with actionable, copy-paste recommendations. The analysis typically takes around 30 seconds. The tool is free to use during its beta phase, and the team is actively seeking user feedback to shape its future development, with plans to introduce features for tracking changes over time. In summary, AISight provides essential insights into how AI answer engines perceive a website, offering practical, technical fixes to improve AI discoverability, understanding, and citation readiness.