Ora scans websites for agent usability issues, observes how AI agents interact with them, and identifies changes that can improve agent access and recommendations. It is designed for businesses and website teams optimizing sites for agent-driven discovery and use.
In the LLM eval & observability space, Ora takes a focused approach. It focuses on making websites usable and recommendable by AI agents. It is built as a B2B product for website owners and digital product teams. Ora is available on the web.
Behind Ora is Ora. Key capabilities include site scanning, agent testing, and usability diagnostics.
Summary written by a language model from the project’s public pages.
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