Ora helps businesses understand whether AI agents can actually use their websites. You enter a domain or an MCP server URL and Ora scores how well agents can find, read and interact with it, comparing the result against a public leaderboard of thousands of scanned sites. The framing is straightforward: as agents increasingly choose who to work with, a site that agents cannot parse is a site that gets skipped, and most of the web currently scores poorly — Ora reports an average around 44 out of 100.
Beyond scoring, Ora offers "Journey": it points a real agent at your domain with an intent you choose — such as finding pricing — and records every step, showing what the agent found, where it stalled and whether it finished. This turns an abstract readiness score into a concrete walkthrough of broken links, blocked endpoints and missing machine-readable metadata.
For developers, the same scan is available as a command-line tool: running the ax audit command on any URL prints what to fix, ranked by impact, which is designed for use inside a coding agent workflow. Ora also publishes its methodology and research openly, and maintains AgentReady.org, an open standard for what a product should implement so agents can use it, developed alongside partners such as Vercel, Stripe, Auth0, Mintlify, Tavily, Google, Elementor and MIT.
