# Ora

- **Website:** <https://ora.run>
- **Primary alias:** `ora.run`

## Description

Ora is a web optimization platform focused on helping websites work better for AI agents. Its scanning tools assess how agents discover, read, and use a site, then provide a score and identify issues that may prevent agents from completing tasks or recommending a business. Users can scan a domain or MCP server URL, compare results on Ora’s leaderboard, and explore research on agent readiness across the web.

Ora also offers Journey, which sends a real agent to a website with a chosen intent and records what it finds, where it stalls, and whether it completes the task. For developers, the Ora API and command-line tool let coding agents audit URLs and surface fixes ranked by impact. The company publishes research, methodology, blog posts, and case studies, and provides resources including API documentation and a directory of ranked sites. Ora describes its mission as making websites more accessible and useful to agents, helping organizations address barriers that can affect how agents engage with their online presence.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_

## Links

- [twitter](https://twitter.com/oradotai)

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idgN-K8l_O/w/180/h/180/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1790647559685)
- icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idgN-K8l_O/w/400/h/400/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1790647559857)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Cod Gray | #1a1a1a | dark |
| Spring Wood | #f9f7f2 | light |

## Fonts

- var(--font-lora) — asset _(custom)_
- var(--font-lora) — asset _(custom)_

## Imagery

- banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idgN-K8l_O/w/1500/h/500/idAp_1d_6D.jpeg?c=1bxid64Mup7aczewSAYMX&t=1790647559568)

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_Source: <https://brandfetch.com/ora.run>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._