Ora provides an agent experience (AX) scoring platform that evaluates how well AI agents can discover, understand, and use a company's website. The platform runs real agents through end-to-end journeys, scores sites across discovery, access, usability, and payments, and offers an API for automated audits. It also publishes public research showing the average site scores only 40 out of 100 in agent readiness.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses have spent decades optimizing websites for human users through SEO, funnels, and UX design, but AI agents interact with the web differently. Agents reason, query, parse structured data, and call APIs, and when they encounter sites they cannot work with, they simply move on to competitors. Most companies are unprepared for this shift, with the average site scoring only 40 out of 100 in agent readiness.
Solution
Ora provides a comprehensive agent experience (AX) scoring platform that evaluates how well any product or website serves AI agents. The platform runs static checks against documentation, llms.txt files, registries, and public APIs, then spawns real agents across platforms like ChatGPT, Claude, and OpenClaw to attempt actual end-to-end onboarding and usage. Ora ranks products across four layers—discovery, access, usability, and payments—with auth and access weighted highest because an agent that cannot get in has achieved nothing. The company also offers Journey, a tool that records every step an agent takes when trying to complete a task on a given domain, and an API for running audits directly from a terminal.
Target Audience
Primary customers are businesses and product teams that want to ensure AI agents can discover, understand, and use their websites or APIs, as well as developers seeking automated agent-readiness audits for their domains.
Features
- Agent readiness scoring across four weighted layers: discovery, access, usability, and payments, with auth and access ranked highest
- Real agent testing that spawns actual agents on ChatGPT, Claude, and OpenClaw to attempt end-to-end product usage
- Static checks against docs, llms.txt, registries, and public APIs to evaluate findability and understanding
- Journey tool that records every step an agent takes—what it found, where it stalled, and whether it finished a given intent
- CLI tool via `npx ax audit` that scores any URL and prints ranked, actionable fixes by impact
- Public research and leaderboard monitoring web-wide agent readiness, with only 4% of sites scoring nearly agent-ready