Improving Agent Readiness with Website Spec

The blog post discusses the process and findings of evaluating the Plushcap website against agent readiness specifications, with the aim of enhancing performance, security, and SEO. It highlights that Plushcap is advanced in aspects like server-rendered HTML, sitemap coverage, and AI crawler rules, but needs improvement in discovery header consistency and structured data specificity. The static pages bypass Django middleware, missing essential Link discovery headers, and the current Link relation names require cleanup to align with registered types. Furthermore, the post emphasizes the need for better Markdown content negotiation and clarity in AI crawler policy. Recommendations include adding discovery Link headers at the server level, normalizing Link relations, and supporting text/markdown negotiation for documentation pages. A need for a simple feed and more specific JSON-LD for certain pages is also identified, alongside lower-priority improvements like generating /llms-full.txt and enhancing API schema endpoints. The assessment calls for implementing and testing these changes to improve compliance with specifications and enhance overall website functionality.

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