Agent Readiness Checker is a free web-based tool designed to assess how well a website can be discovered, understood, and operated by AI agents and large language models (LLMs). By pasting a website URL, users receive a readiness score based on real checks performed against the live site, rather than generic advice. The tool addresses the emerging need for websites to accommodate AI-driven traffic and interactions, as many sites were not originally built with these technologies in mind.
The assessment is organized into three specific tiers. The first, Access, examines whether AI crawlers and agents can reach and render the site's content, considering factors such as robots rules, AI-bot access, JavaScript-rendered content, sitemaps, and canonical tags. The second tier, Citation, evaluates if the content is structured, extractable, and self-contained enough to be quoted by answer engines. The third, Transaction, checks for signals and protocols that enable agents to perform actions on the site, such as WebMCP, structured actions, and commerce protocols, moving beyond simple content consumption.
Agent Readiness Checker distinguishes itself by grouping results by category and by engine, similar to the approach used by Lighthouse, and by providing concrete, actionable fixes rather than vague recommendations. It also offers honest feedback about the real-world impact of certain signals, such as noting when a signal like llms.txt has limited current effect. No account is required to use the tool, making it accessible for anyone interested in optimizing their website for the agentic web.
evidence_sufficient": true}
Agent Readiness Checker sits in PulseGate's AI category. Determines if a website is accessible and usable by AI agents and LLMs, highlighting areas for improvement. It is built as a B2B product for website owners and developers. It is available for free. It ships for the web.
It is developed by Chat Thing, and it first shipped in 2024. Among its 4 catalogued features are website scanning, AI readiness scoring, and actionable recommendations.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do